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Journal of Chromatographic Science

Subject:
Analytical Chemistry
Publisher:
Oxford University Press —
Oxford University Press
ISSN:
0021-9665
Scimago Journal Rank:
58

2023

Volume Advance Article
January
Volume 61
Issue 8 (Mar)Issue 6 (Feb)Issue 4 (Mar)

2022

Volume Advance Article
DecemberNovemberOctoberSeptemberAugustJuly
Volume 61
Issue 8 (Sep)Issue 7 (Jun)Issue 6 (Aug)Issue 5 (Sep)Issue 4 (Mar)Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Mar)
Volume 60
Issue 10 (Feb)Issue 8 (Jan)Issue 6 (Jul)Issue 5 (Feb)

2021

Volume Advance Article
JulyJuneMayAprilMarchFebruaryJanuary
Volume 61
Issue 3 (Dec)Issue 1 (Dec)
Volume 60
Issue 9 (Dec)Issue 8 (Oct)Issue 7 (Sep)Issue 6 (Aug)Issue 5 (Jul)Issue 4 (Jun)Issue 3 (Jun)Issue 2 (May)Issue 1 (Apr)
Volume 59
Issue 8 (Aug)Issue 7 (Jun)Issue 5 (Apr)Issue 4 (Mar)Issue 3 (Feb)Issue 2 (Jan)Issue 1 (Jan)

2020

Volume Advance Article
DecemberJuneAprilJanuary
Volume 2020
JuneAprilMarchJanuary
Volume 58
Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (Apr)Issue 4 (Apr)Issue 2 (Jan)
Volume 57
Issue 10 (Jan)

2019

Volume Advance Article
November
Volume 57
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Aug)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2018

Volume Advance Article
AprilIssue 7 (Apr)Issue 6 (Apr)
Volume 56
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2017

Volume 55
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2016

Volume 2016
October
Volume 54
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2015

Volume 53
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2014

Volume 52
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2013

Volume 51
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2012

Volume 50
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2011

Volume 49
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2010

Volume 48
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2009

Volume 47
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2008

Volume 46
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2007

Volume 45
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2006

Volume 44
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2005

Volume 43
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2004

Volume 42
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2003

Volume 41
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2002

Volume Advance Article
June
Volume 40
Issue 10 (Nov)Issue 9 (Oct)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2001

Volume 39
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2000

Volume 2000
September
Volume 38
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1999

Volume 37
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1998

Volume 36
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1997

Volume 35
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1996

Volume 34
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1995

Volume 33
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1994

Volume 32
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1993

Volume 31
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1992

Volume 30
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1991

Volume 29
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1990

Volume 28
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1989

Volume 27
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1988

Volume 26
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1987

Volume 25
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1986

Volume 24
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1985

Volume 23
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1984

Volume 22
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1983

Volume 21
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1982

Volume 20
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1981

Volume 19
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1980

Volume 18
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1979

Volume 17
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1978

Volume 16
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1977

Volume 15
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 3-4 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1976

Volume 14
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1975

Volume 13
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1974

Volume 12
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1973

Volume 11
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1972

Volume 10
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1971

Volume 9
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1970

Volume 8
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1969

Volume 7
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1968

Volume 6
Issue 12 (Dec)Issue 11 (Nov)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1967

Volume 5
Issue 12 (Dec)Issue 11 (Nov)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 2 (Feb)Issue 1 (Jan)

1966

Volume 4
Issue 12 (Dec)Issue 8 (Aug)Issue 7 (Jul)Issue 5 (May)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1965

Volume 3
Issue 7 (Jul)Issue 6 (Jun)Issue 4 (Apr)Issue 1 (Jan)

1964

Volume 2
Issue 11 (Nov)Issue 10 (Oct)Issue 8 (Aug)Issue 7 (Jul)Issue 6 (Jun)Issue 2 (Feb)Issue 1 (Jan)

1963

Volume 1
Issue 10 (Oct)Issue 7 (Jul)Issue 5 (May)Issue 2 (Feb)Issue 1 (Jan)

0019

Volume 0019
January

0010

Volume Advance Article
July
journal article
LitStream Collection
Assessment of the Thermodynamic Properties of DL-p-Mentha-1,8-diene, 4-Isopropyl-1-Methylcyclohexene (DL-limonene) by Inverse Gas Chromatography (IGC)

2018 Journal of Chromatographic Science

doi: 10.1093/chromsci/bmy043pmid: 29750264

Abstract Limonene is a colorless liquid hydrocarbon and had been investigated as a plasticizer for many plastics. Prediction of solubility between different materials is an advantage in many ways, one of the most convenient ways to know the compatibility of materials is to determine the degree of solubility of them in each other. The concept of “solubility parameter” can help practitioners in this way. In this study, inverse gas chromatography (IGC) method at infinite dilution was used for determination of the thermodynamic properties of DL-p-mentha-1,8-diene, 4-Isopropyl-1-methylcyclohexene (DL-limonene). The interaction between DL-limonene and 13 solvents were examined in the temperature range of 63–123°C through the assessment of the thermodynamic sorption parameters, the parameters of mixing at infinite dilution, the weight fraction activity coefficient and the Flory–Huggins interaction parameters. Additionally, the solubility parameter for DL-limonene and the temperature dependence of these parameters was investigated as well. Results show that there is a temperature dependence in solubility parameter, which increases by decreasing temperature. However, there were no specific dependence between interaction parameters and temperature, but chemical structure appeared to have a significant effect on them as well as on the type and strength of intermolecular interactions between DL-limonene and investigated solvents. The solubility parameter δ2 of DL-limonene determined to be 19.20 (J/cm3)0.5 at 25°C. Introduction Limonene is a colorless liquid hydrocarbon and it is classified as a cyclic terpene. Its name comes from lemon, as lemon peel, as well as other citrus fruits that hold substantial amounts of this compound, which contributes to their odor. It is a chiral molecule and one enantiomer is produced by biological sources (1). As the main odor constituent of citrus, limonene is common in cosmetic products, also in food manufacturing and some medicines. Because its ability to dissolve oils, it is added to cleaning products. It is used as a paint stripper and is also useful as a pleasant-smelling alternative to turpentine (2). Limonene is also gradually used as a solvent for filament-fused 3D printing. Printers can print the plastic of choice for the model, but erect supports and binders from high impact polystyrene, a polystyrene plastic that is easily soluble in limonene (3). As it is combustible, limonene has also been considered as a biofuel (4). Prediction of solubility between different materials is an advantage in many ways, taking the example of polymer blends, polymer compounds, adhesives or paints. It also helps engineers in order to choose the right materials for compounding of polymer mixtures. For compounding, one needs to know the compatibility between different compounding ingredients, for example, polymer–plasticizer, polymer–polymer, reinforcing agent–plasticizer and so on to select the correct materials to compound them (5). Recently, studies have been done on the use of limonene as a new monomer to obtain polyterpenes (6). Limonene had also been investigated as a plasticizer for many plastics such as polyethylene (7), polystyrene (8) and poly (lactic acid) in the food packaging industry (9). One of the most convenient ways to know the compatibility of materials is to determine the degree of solubility of them in each other. The concept of “solubility parameter” can help practitioners in this way. Inverse gas chromatography (IGC) has been shown to be a reliable and very useful technique for the measurement of thermodynamic parameters in a range of non-volatile materials, over a wide range of conditions (10). In gas-liquid IGC, the non-volatile binary solution component is distributed on a chromatographic packing material which is held under specified conditions in the chromatographic column. By injecting a small quantity of solvents (probes) into the column, the thermodynamic parameters of stationary phase can be calculated from the specific retention volume of probes as they flow through the chromatographic column. The IGC method has been applied for the assessment of the surface and thermodynamic characteristics of different materials such as polymers (11, 12), ionic liquids (13), carbon nanotubes (14), liquid crystalline systems (15), natural oils (16) and pharmaceuticals (17). Despite the fact that many authors used IGC, studies concerning the thermodynamic properties of limonene have not yet been reported. Here, we applied the IGC technique to determine the thermodynamic properties and solubility parameter of DL-p-mentha-1,8-diene, 4-Isopropyl-1-methylcyclohexene (DL-limonene). Materials and methods Materials DL-limonene (DL-p-mentha-1,8-diene, 4-Isopropyl-1-methylcyclohexene) sample from Merck (USA), with boiling point of 178°C (1013 hPa), density of 0.84 g/cm3 (20°C) and melting point of −89°C, is used as received (pure). Its chemical structure is shown in Figure 1. Chromosorb P AW-DMCS (60–80 mesh, Merck) was used as solid support. The solvents that are listed below were used as probes for IGC measurements. They were selected with regard to their ability to interact with three different types of interaction forces, that is dispersive, polar and hydrogen bonding. All probes (Aldrich or Merck) were highly pure grade (i.e., 99%). The probes used were n-alkanes (n-hexane, n-heptane, n-octane and n-nonane), alcohols (chloroform, methanol, ethanol and 1-butanol), polar solvents (acetone and ethyl acetate) and non-polar solvents (diethyl ether, cyclohexane and toluene). Chromatographic injections were made using syringes obtained from the Hamilton Company (Reno, NV, USA). Figure 1. View largeDownload slide Chemical structure of DL-p-mentha-1,8-diene, 4-Isopropyl-1-methylcyclohexene (DL-limonene). Figure 1. View largeDownload slide Chemical structure of DL-p-mentha-1,8-diene, 4-Isopropyl-1-methylcyclohexene (DL-limonene). Column preparation and IGC setup The IGC measurements were performed on a commercial Shimadzu GC-14A gas chromatograph equipped with a flame ionization detector (FID) and two manometers to determine column’s inlet and outlet pressures. Dried nitrogen was used as carrier gas. According to our previous work, flow rate set to be 30 mL/min. The injector and detector temperatures were kept at 200°C during the experiment. Diethyl ether were used as non-interacting markers in order to determine the void volume of the column. To achieve infinite dilution, 0.05 μL of each probe was injected with a 10 μL Hamilton syringes. The column temperatures were 63–123 varied in 20°C steps. The boiling point of limonene is 178°C and the highest operating temperature used in this study was 123°C that is low enough for prevent any loss of limonene due to volatilization. The weight of the column before and after the IGC procedure showed no difference. Each probe injection was repeated three times and average retention time, tR was used for calculation. The column used in this study was prepared using a stainless still column (SS 316 ASTM A-269) with 3.66 mm inner diameter, 4.60 mm outer diameter and having an approximate length of 2 m. Column packing was done by mixing a selected weight percentage of DL-limonene dissolved in hexane (10% weight) with the chromosorb followed by solvent removal using a rotary evaporator for 6 h. The packed column then preconditioned (highest temperature and nitrogen flow rate) overnight in order to remove any residual solvent left in the packing material. The coated mass was 0.68 g with 10.2% weight loading of DL-limonene. SEM measurements Scanning electron microscope (SEM) measurements were done on an AIS2100 device from Seron technologies Co., Ltd. The SEM micrographs were used to determine the stationary phase morphology. Moreover, these micrographs can show the accuracy in the preparation of stationary phase. Theory/calculations Inverse gas chromatography theory Hildebrand introduced the concept of the cohesive energy density, CED and solubility in a series of articles starting in 1916. The solubility parameter, δ, introduced later in 1949 related to CED (18). δ=(ΔEvapV)12 (1) where ΔEvap is enthalpy of vaporization. CED represents the required energy to detach the liquid molecules into the ideal gas state. Smidsrob and Guillet developed the IGC technology in 1969 (19). This technique was found to be a convenient method to obtain thermodynamic quantities and investigate the physicochemical matter properties. The technique involves filling a column with a stationary phase of the solid material as the object of investigation, while probes of known physicochemical properties are injected. By determining the retention times of the probes, the specific retention volume, Vg0, of the probes which stands for the elution behavior of probes may be obtained according to the following equation (20): Vg0=273.15mTaFP0−PWP0(tr−t0)32(Pi/P0)2−1(Pi/P0)3−1 (2) where F is the flow rate of the carrier gas measured at room temperature; m is the mass of stationary phase; Ta is the flow meter temperature; Pw is the saturated vapor pressure of water at ambient temperature; tr is the retention times of the probes; t0 is the retention time of the non-interacting probe and Pi and P0 are inlet and outlet pressure of the column, respectively. The molar heat of sorption, ΔH1s and the molar free energy of sorption, ΔG1s of the probe absorbed by the solid phase are calculated by the following equations (9): ΔH1s=−R∂lnVg0∂(1T) (3) ΔG1s=−RTln(M1Vg0273⋅15R) (4) where T is the column temperature, M1 the molecular weight of the probe and R the gas constant. The calculation of the entropy of sorption, ΔS1s of the probes is possible through combination of Equations (3) and (4) (21): ΔG1s=ΔH1s−TΔS1s (5) Many thermodynamic properties can be determined from the specific retention volume, Vg0, such as the weight fraction activity coefficient, Ω1∞, the molar heat of mixing at infinite dilution, ΔH1∞ and the corresponding molar free energy of mixing, ΔG1∞ of each probe (22): Ω1∞=273.15RVg0P10M1exp(−P10(B11−V1)RT) (6) ΔH1∞=−R∂lnΩ1∞∂(1T) (7) ΔG1∞=RTlnΩ1∞ (8) where P10 is the vapor pressure of the probe at temperature T, B11 is the second virial coefficient and V1 is the probe’s molar volume. Values of the weight fraction activity coefficient, Ω1∞, reflect compatibility between solvents of the intended material, thus values between 5 and 10 shows moderate compatibility, whereas values smaller than 5 shows good solvency and values >10 are characteristic for poor solvency (23). Experimental values of the heats of vaporization, ΔHv of the probes can be obtained from the heats of mixing and the heats of sorption with the following relationship: ΔHv=ΔH1∞−ΔH1s (9) Flory–Huggins interaction parameter, χ12∞, is a reflection of how strong the interaction between the solid phase and the probe is (23, 24). It can be calculated through the following equation (25): χ12∞=ln(273.15RV2/P10Vg0V1)−1−P10(B11−V1)RT (10) where V1 is molar volume of probes; V2 is specific volume of the investigated material; R is the gas constant; T is the column temperature; B11 and P10 are the second virial coefficient and the saturated vapor pressure at the column temperature which can be calculated by the following formulas, respectively: B11Vc=0.430−0.886(Tc/T)−0.694(Tc/T)2−0.0375(n−1)(Tc/T)4.5 (11) P10=A−B(T+C) (12) where Vc is the critical molar volume; Tc is the critical temperature of probe molecules and n is the hypothetical number of carbon atoms for the given probes molecules that yields P10 equivalent to that of a corresponding n-alkane probes. A, B and C are constants for well-known Antoine equation. In order to compute the second virial coefficient, the McGlasham and Potter Equation (26) where used [equation (5)]. The parameter n was estimated through the procedure of Guggenheim and Wormald (27) as follows: A=T(Pc/P10)Tc−T (13) where A is vapor pressure parameter, and Pc is the critical pressure of the probe. Having calculated A values for probes and n-alkanes, the matched n-alkane carbon number is used to determine n for the probes. If the equivalent value could not be found, then the closest value to the solute’s A value was used. Probe’s vapor pressure was calculated by Equation (12), and their Antoine constants and molar volume values were taken from the standard handbooks (28). The specific volume of DL-limonene was determined through standard methods ASTM D-1193 and ASTM D-1217. For materials that their molar volumes are not accurately known and also have no appreciable vapor pressure, the definition in Equation (1) cannot be used to estimate their solubility parameter. Instead, the experimental values of χ from the IGC method can be used as follows: (δ12RT−χV1)=(2δ2RT)δ1−(δ22RT+χSV1) (14) where the dimensionless χS is an entropy term used to overcome the fundamental problem with the solubility parameter model (i.e., this model only estimates positives value for χ). By using a series of probes with different solubility parameters, and plotting the right-hand side of above equation against δ1, the solubility parameter of the investigated material, δ2, can be simply calculated from the slope or the intercept. Generally, a linear regression method is used to determine δ2 and 𝜠(η=χSV1) (29, 30). Solubility parameter values, δ1, for probes used in this investigation were collected from Hansen and Beerbower handbook (31) for ambient temperature. Then, according to the correlation by Jayasri and Jaseen (32) the solubility values at temperature T2 was calculated as follows: δ1,T2=δ1,T((1−T2)/(1−T1))0.34 (15) where T1 = Tref/Tc and T2 = Texp/Tc. Results The specific retention volume, Vg0, is the basic parameter in IGC measurements as it is essential in order to determine physicochemical or thermodynamic properties of materials by this method. To obtain this data, proper selection of the probes has a significant importance. Probes should be chosen so that all the three types of interactions (Hydrogen bonding, dispersive and polar) be considered in the study. Specific retention volume of probes on DL-limonene dependency on temperature is shown in Figure 2. Figure 2. View largeDownload slide Specific retention volume against 1/T. Figure 2. View largeDownload slide Specific retention volume against 1/T. The molar heats of sorption, ΔH1s were calculated from the slopes of lines shown in Figure 2. The values of ΔH1s are listed in Table I. The molar free energy of sorption, ΔG1s was calculated according to Equation (4). The entropy of sorption can be easily computed via Equation (5) and the values provided in Tables I and II. Table I. The Molar Heat of Sorption, ΔH1s, the Partial Molar Heat of Mixing, ΔH1∞, of Various Probes on Dl-Limonene and the Heats of Vaporization, ΔHv, at 63–123°C Probe ΔH1s (KJ/mol) ΔH1∞ (KJ/mol) ΔHv (KJ/mol) Hexane −2.07 0.41 2.48 Heptane −2.43 0.56 2.99 Octane −2.49 0.37 2.86 Nonane −2.53 0.15 2.69 Toluene 2.61 0.64 3.25 Cyclohexane −1.51 0.20 1.71 Chloroform −2.31 0.70 3.00 Acetone −1.11 0.52 1.63 Ethyl acetate −2.51 0.72 3.24 Methanol −1.95 0.06 2.01 Ethanol −2.79 0.58 3.37 1-Butanol −3.36 0.69 4.06 Probe ΔH1s (KJ/mol) ΔH1∞ (KJ/mol) ΔHv (KJ/mol) Hexane −2.07 0.41 2.48 Heptane −2.43 0.56 2.99 Octane −2.49 0.37 2.86 Nonane −2.53 0.15 2.69 Toluene 2.61 0.64 3.25 Cyclohexane −1.51 0.20 1.71 Chloroform −2.31 0.70 3.00 Acetone −1.11 0.52 1.63 Ethyl acetate −2.51 0.72 3.24 Methanol −1.95 0.06 2.01 Ethanol −2.79 0.58 3.37 1-Butanol −3.36 0.69 4.06 Table I. The Molar Heat of Sorption, ΔH1s, the Partial Molar Heat of Mixing, ΔH1∞, of Various Probes on Dl-Limonene and the Heats of Vaporization, ΔHv, at 63–123°C Probe ΔH1s (KJ/mol) ΔH1∞ (KJ/mol) ΔHv (KJ/mol) Hexane −2.07 0.41 2.48 Heptane −2.43 0.56 2.99 Octane −2.49 0.37 2.86 Nonane −2.53 0.15 2.69 Toluene 2.61 0.64 3.25 Cyclohexane −1.51 0.20 1.71 Chloroform −2.31 0.70 3.00 Acetone −1.11 0.52 1.63 Ethyl acetate −2.51 0.72 3.24 Methanol −1.95 0.06 2.01 Ethanol −2.79 0.58 3.37 1-Butanol −3.36 0.69 4.06 Probe ΔH1s (KJ/mol) ΔH1∞ (KJ/mol) ΔHv (KJ/mol) Hexane −2.07 0.41 2.48 Heptane −2.43 0.56 2.99 Octane −2.49 0.37 2.86 Nonane −2.53 0.15 2.69 Toluene 2.61 0.64 3.25 Cyclohexane −1.51 0.20 1.71 Chloroform −2.31 0.70 3.00 Acetone −1.11 0.52 1.63 Ethyl acetate −2.51 0.72 3.24 Methanol −1.95 0.06 2.01 Ethanol −2.79 0.58 3.37 1-Butanol −3.36 0.69 4.06 Table II. The Molar Energy of Sorption, ΔH1s (KJ/mol) of Various Probes on DL-Limonene at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 28.15 29.96 36.30 38.83 Heptane 21.26 24.68 28.78 32.69 Octane 17.38 20.79 24.82 28.22 Nonane 14.38 17.65 21.26 24.97 Toluene 18.93 22.50 26.87 30.36 Cyclohexane 26.77 28.66 32.42 36.46 Chloroform 26.25 27.82 34.44 37.64 Acetone 27.87 30.44 33.22 36.47 Ethyl acetate 22.88 26.35 30.86 34.78 Methanol 27.62 30.58 35.14 38.46 Ethanol 24.08 29.02 33.31 37.02 1-Butanol 17.12 21.05 27.00 30.23 Probe 63°C 83°C 103°C 123°C Hexane 28.15 29.96 36.30 38.83 Heptane 21.26 24.68 28.78 32.69 Octane 17.38 20.79 24.82 28.22 Nonane 14.38 17.65 21.26 24.97 Toluene 18.93 22.50 26.87 30.36 Cyclohexane 26.77 28.66 32.42 36.46 Chloroform 26.25 27.82 34.44 37.64 Acetone 27.87 30.44 33.22 36.47 Ethyl acetate 22.88 26.35 30.86 34.78 Methanol 27.62 30.58 35.14 38.46 Ethanol 24.08 29.02 33.31 37.02 1-Butanol 17.12 21.05 27.00 30.23 Table II. The Molar Energy of Sorption, ΔH1s (KJ/mol) of Various Probes on DL-Limonene at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 28.15 29.96 36.30 38.83 Heptane 21.26 24.68 28.78 32.69 Octane 17.38 20.79 24.82 28.22 Nonane 14.38 17.65 21.26 24.97 Toluene 18.93 22.50 26.87 30.36 Cyclohexane 26.77 28.66 32.42 36.46 Chloroform 26.25 27.82 34.44 37.64 Acetone 27.87 30.44 33.22 36.47 Ethyl acetate 22.88 26.35 30.86 34.78 Methanol 27.62 30.58 35.14 38.46 Ethanol 24.08 29.02 33.31 37.02 1-Butanol 17.12 21.05 27.00 30.23 Probe 63°C 83°C 103°C 123°C Hexane 28.15 29.96 36.30 38.83 Heptane 21.26 24.68 28.78 32.69 Octane 17.38 20.79 24.82 28.22 Nonane 14.38 17.65 21.26 24.97 Toluene 18.93 22.50 26.87 30.36 Cyclohexane 26.77 28.66 32.42 36.46 Chloroform 26.25 27.82 34.44 37.64 Acetone 27.87 30.44 33.22 36.47 Ethyl acetate 22.88 26.35 30.86 34.78 Methanol 27.62 30.58 35.14 38.46 Ethanol 24.08 29.02 33.31 37.02 1-Butanol 17.12 21.05 27.00 30.23 The calculated interaction parameters (weight activity coefficient and Flory–Huggins parameter) between probes and DL-limonene according to equations (6) and (10), are listed in Tables III and IV. Table III. Weight Fraction Activity Coefficient, Ω1∞, of Various Probes at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 38.71 22.53 59.76 46.19 Heptane 8.69 9.09 11.98 14.78 Octane 5.66 5.82 7.42 7.78 Nonane 4.99 4.74 5.16 5.87 Toluene 5.64 6.30 9.10 9.80 Cyclohexane 34.38 20.42 23.87 30.16 Chloroform 15.32 8.57 25.92 25.08 Acetone 23.44 17.75 14.94 14.92 Methanol 27.74 20.78 27.58 24.52 Ethanol 13.94 20.19 23.33 23.00 1-Butanol 6.66 6.64 13.05 10.93 Probe 63°C 83°C 103°C 123°C Hexane 38.71 22.53 59.76 46.19 Heptane 8.69 9.09 11.98 14.78 Octane 5.66 5.82 7.42 7.78 Nonane 4.99 4.74 5.16 5.87 Toluene 5.64 6.30 9.10 9.80 Cyclohexane 34.38 20.42 23.87 30.16 Chloroform 15.32 8.57 25.92 25.08 Acetone 23.44 17.75 14.94 14.92 Methanol 27.74 20.78 27.58 24.52 Ethanol 13.94 20.19 23.33 23.00 1-Butanol 6.66 6.64 13.05 10.93 Table III. Weight Fraction Activity Coefficient, Ω1∞, of Various Probes at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 38.71 22.53 59.76 46.19 Heptane 8.69 9.09 11.98 14.78 Octane 5.66 5.82 7.42 7.78 Nonane 4.99 4.74 5.16 5.87 Toluene 5.64 6.30 9.10 9.80 Cyclohexane 34.38 20.42 23.87 30.16 Chloroform 15.32 8.57 25.92 25.08 Acetone 23.44 17.75 14.94 14.92 Methanol 27.74 20.78 27.58 24.52 Ethanol 13.94 20.19 23.33 23.00 1-Butanol 6.66 6.64 13.05 10.93 Probe 63°C 83°C 103°C 123°C Hexane 38.71 22.53 59.76 46.19 Heptane 8.69 9.09 11.98 14.78 Octane 5.66 5.82 7.42 7.78 Nonane 4.99 4.74 5.16 5.87 Toluene 5.64 6.30 9.10 9.80 Cyclohexane 34.38 20.42 23.87 30.16 Chloroform 15.32 8.57 25.92 25.08 Acetone 23.44 17.75 14.94 14.92 Methanol 27.74 20.78 27.58 24.52 Ethanol 13.94 20.19 23.33 23.00 1-Butanol 6.66 6.64 13.05 10.93 Table IV. Flory–Huggins Interaction Parameter, χ12∞, of Various Probes at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 2.38 1.83 2.78 2.51 Heptane 0.93 0.97 1.23 1.42 Octane 0.53 0.56 0.79 0.82 Nonane 0.43 0.38 0.45 0.58 Toluene 0.74 0.85 1.21 1.28 Cyclohexane 2.43 1.92 2.05 2.27 Chloroform 2.27 1.69 2.78 2.73 Acetone 2.06 1.77 1.58 1.55 Ethyl acetate 1.10 1.15 1.53 1.71 Methanol 2.24 1.94 2.21 2.07 Ethanol 1.54 1.90 2.03 2.00 1-Butanol 0.84 0.84 1.51 1.32 Probe 63°C 83°C 103°C 123°C Hexane 2.38 1.83 2.78 2.51 Heptane 0.93 0.97 1.23 1.42 Octane 0.53 0.56 0.79 0.82 Nonane 0.43 0.38 0.45 0.58 Toluene 0.74 0.85 1.21 1.28 Cyclohexane 2.43 1.92 2.05 2.27 Chloroform 2.27 1.69 2.78 2.73 Acetone 2.06 1.77 1.58 1.55 Ethyl acetate 1.10 1.15 1.53 1.71 Methanol 2.24 1.94 2.21 2.07 Ethanol 1.54 1.90 2.03 2.00 1-Butanol 0.84 0.84 1.51 1.32 Table IV. Flory–Huggins Interaction Parameter, χ12∞, of Various Probes at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 2.38 1.83 2.78 2.51 Heptane 0.93 0.97 1.23 1.42 Octane 0.53 0.56 0.79 0.82 Nonane 0.43 0.38 0.45 0.58 Toluene 0.74 0.85 1.21 1.28 Cyclohexane 2.43 1.92 2.05 2.27 Chloroform 2.27 1.69 2.78 2.73 Acetone 2.06 1.77 1.58 1.55 Ethyl acetate 1.10 1.15 1.53 1.71 Methanol 2.24 1.94 2.21 2.07 Ethanol 1.54 1.90 2.03 2.00 1-Butanol 0.84 0.84 1.51 1.32 Probe 63°C 83°C 103°C 123°C Hexane 2.38 1.83 2.78 2.51 Heptane 0.93 0.97 1.23 1.42 Octane 0.53 0.56 0.79 0.82 Nonane 0.43 0.38 0.45 0.58 Toluene 0.74 0.85 1.21 1.28 Cyclohexane 2.43 1.92 2.05 2.27 Chloroform 2.27 1.69 2.78 2.73 Acetone 2.06 1.77 1.58 1.55 Ethyl acetate 1.10 1.15 1.53 1.71 Methanol 2.24 1.94 2.21 2.07 Ethanol 1.54 1.90 2.03 2.00 1-Butanol 0.84 0.84 1.51 1.32 The molar heats of mixing at infinite dilution of the probes, ΔH1∞ values were calculated from the slope of lines obtained from plotting lnΩ1∞ versus 1/T [Equation (7)] and they are listed in Table I. The values of molar free energy of mixing, ΔG1∞ are calculated according to Equation (8) and are presented in Table V. The values of the heats of vaporization, ΔHv are also computed from Equation (9) and presented in Table I. Table V. The Molar Free Energy of Mixing, ΔH1∞ (KJ/mol) of Various Probes on DL-Limonene at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 10.22 9.22 12.79 12.62 Heptane 6.04 6.54 7.77 8.87 Octane 4.84 5.21 6.27 6.76 Nonane 4.49 4.61 5.13 5.83 Toluene 4.83 5.44 6.90 7.52 Cyclohexane 9.89 8.93 9.92 11.22 Chloroform 7.62 6.36 10.18 10.61 Acetone 8.81 8.52 8.46 8.90 Ethyl acetate 5.75 6.27 7.89 8.97 Methanol 9.29 8.98 10.37 10.54 Ethanol 7.36 8.90 9.85 10.33 1-Butanol 5.30 5.60 8.03 7.87 Probe 63°C 83°C 103°C 123°C Hexane 10.22 9.22 12.79 12.62 Heptane 6.04 6.54 7.77 8.87 Octane 4.84 5.21 6.27 6.76 Nonane 4.49 4.61 5.13 5.83 Toluene 4.83 5.44 6.90 7.52 Cyclohexane 9.89 8.93 9.92 11.22 Chloroform 7.62 6.36 10.18 10.61 Acetone 8.81 8.52 8.46 8.90 Ethyl acetate 5.75 6.27 7.89 8.97 Methanol 9.29 8.98 10.37 10.54 Ethanol 7.36 8.90 9.85 10.33 1-Butanol 5.30 5.60 8.03 7.87 Table V. The Molar Free Energy of Mixing, ΔH1∞ (KJ/mol) of Various Probes on DL-Limonene at 63, 83, 103 and 123°C Probe 63°C 83°C 103°C 123°C Hexane 10.22 9.22 12.79 12.62 Heptane 6.04 6.54 7.77 8.87 Octane 4.84 5.21 6.27 6.76 Nonane 4.49 4.61 5.13 5.83 Toluene 4.83 5.44 6.90 7.52 Cyclohexane 9.89 8.93 9.92 11.22 Chloroform 7.62 6.36 10.18 10.61 Acetone 8.81 8.52 8.46 8.90 Ethyl acetate 5.75 6.27 7.89 8.97 Methanol 9.29 8.98 10.37 10.54 Ethanol 7.36 8.90 9.85 10.33 1-Butanol 5.30 5.60 8.03 7.87 Probe 63°C 83°C 103°C 123°C Hexane 10.22 9.22 12.79 12.62 Heptane 6.04 6.54 7.77 8.87 Octane 4.84 5.21 6.27 6.76 Nonane 4.49 4.61 5.13 5.83 Toluene 4.83 5.44 6.90 7.52 Cyclohexane 9.89 8.93 9.92 11.22 Chloroform 7.62 6.36 10.18 10.61 Acetone 8.81 8.52 8.46 8.90 Ethyl acetate 5.75 6.27 7.89 8.97 Methanol 9.29 8.98 10.37 10.54 Ethanol 7.36 8.90 9.85 10.33 1-Butanol 5.30 5.60 8.03 7.87 The solubility parameter of DL-limonene is measured from the slope of the straight line obtained from plotting the left-hand side of Equation (14) versus δ1 as illustrated in Figure 3 (at 63°C). The regression coefficient corresponding to lines used to calculate δ2 are also listed in Table VI. As solubility parameter in literatures is usually reported in ambient temperature, the DL-limonene solubility parameter in 25°C obtained from extrapolation of experimental equation of Figure 4, is 19.20 (J/cm3)0.5. Figure 5 shows calculated values of solubility parameter for DL-limonene. Figure 3. View largeDownload slide Solubility parameter of the probes against (δ1)2/RT−χ/V1. Figure 3. View largeDownload slide Solubility parameter of the probes against (δ1)2/RT−χ/V1. Table VI. Solubility Parameters, δ2 of DL-Limonene Calculated from Equation (14) at 63, 83, 103 and 123°C T (°C) Slope δ2 (J/cm3)0.5 R2 63 0.0123 17.19∓0.24 0.9967 83 0.0109 16.14∓0.31 0.9986 103 0.0094 15.32∓0.23 0.9996 123 0.0085 14.00∓0.27 0.9957 T (°C) Slope δ2 (J/cm3)0.5 R2 63 0.0123 17.19∓0.24 0.9967 83 0.0109 16.14∓0.31 0.9986 103 0.0094 15.32∓0.23 0.9996 123 0.0085 14.00∓0.27 0.9957 View Large Table VI. Solubility Parameters, δ2 of DL-Limonene Calculated from Equation (14) at 63, 83, 103 and 123°C T (°C) Slope δ2 (J/cm3)0.5 R2 63 0.0123 17.19∓0.24 0.9967 83 0.0109 16.14∓0.31 0.9986 103 0.0094 15.32∓0.23 0.9996 123 0.0085 14.00∓0.27 0.9957 T (°C) Slope δ2 (J/cm3)0.5 R2 63 0.0123 17.19∓0.24 0.9967 83 0.0109 16.14∓0.31 0.9986 103 0.0094 15.32∓0.23 0.9996 123 0.0085 14.00∓0.27 0.9957 View Large Figure 4. View largeDownload slide Solubility parameter of DL-limonene against temperature. Figure 4. View largeDownload slide Solubility parameter of DL-limonene against temperature. Figure 5. View largeDownload slide Calculated values of solubility parameter for DL-limonene. Figure 5. View largeDownload slide Calculated values of solubility parameter for DL-limonene. Discussion Scanning electron microscope The SEM micrographs shows the effectiveness of DL-limonene loading on stationary phase. As it is clear in Figure 6 that the DL-limonene has efficiently covered the voids of the inert chromosorb. The change in chromosorb particles morphology from elliptical to spherical form is the result of DL-limonene coverage on chromosorb particles. Since the chromosorb P is not polymeric and cannot swell with an organic compound and also there is no sign of breakage in studied samples during SEM, so the probable reasonable cause for this change of morphology (after addition of DL-limonene), may be the DL-limonene’s surface tension around the particle surface. In the 1-μm micrograph, full coverage of stationary phase is clearly shown. In conclusion, SEM micrographs shows that there is no significant source of error associated to stationary phase preparation. Figure 6. View largeDownload slide SEM micrographs of chromosorb P/AW before and after DL-limonene loading at 10 μm and 100 μm show the coverage of support voids by DL-limonene. Figure 6. View largeDownload slide SEM micrographs of chromosorb P/AW before and after DL-limonene loading at 10 μm and 100 μm show the coverage of support voids by DL-limonene. IGC The IGC measurements of DL-limonene performed at 63, 83, 103 and 123°C and flow rate of 30 mL/min. The selection of specific temperature range was done due to the thermal characterization of DL-limonene (33). The lowest working temperature chosen as to be well higher than melting point and the highest one to be below its starting the decomposition temperature. Specific retention volume According to Figure 2, it is obvious that by increasing temperature, the specific retention volume reduces. Apart from their temperature dependence, the values of Vg0 are also affected by the chemical structure of the probes. In the case of the tested n-alkanes, alcohols and ketone, the Vg0 values increase by increasing the number of alkyl groups. When comparing the specific retention volume of different probes with similar boiling point such as n-hexane, ethanol and ethyl acetate, the lowest value is observed for n-hexane. This behavior is due to the fact that polar and hydrogen bonding solvents like alcohols and ketones have an additional interaction with respect to hydrocarbons (34, 35). It will be further discussed in the following sections. Thermodynamic sorption parameters In general, the relationship between lnVg0 and (1/T) for the probes was linear. This linearity shows the establishment of equilibrium between the probes and the solid phase. The molar enthalpies of sorption of all probes are exothermic (negative). As listed in Table I, in the case of n-alkanes, ΔH1s becomes more exothermic by increasing the number of alkyl (CH2) groups. The molar heats of sorption of probes are directly affected by their chemical structure. It can be realized while comparing probes with similar boiling points but different functional groups. Ethyl acetate and ethanol present more exothermic values than n-hexane. n-Alkanes can interact with DL-limonene only through dispersive forces, whereas alcohols and polar solvents have additional interactions with DL-limonene which are combination of dispersive and hydrogen bonding and polar forces, respectively. All the probes investigated here, showed an endothermic (positive) values of ΔG1s. Probe–limonene interaction parameter As mentioned earlier, probes with similar boiling point values have different interaction parameters such as ethanol, ethyl acetate and hexane. The weight coefficient activity parameter for these probes shows this fact that ethyl acetate has a better compatibility with DL-limonene rather than n-hexane and ethanol which are classified as poor solvent. Values of Flory–Huggins interaction parameter are in agreement with this result. In the case of probes from the same group (alcohol, n-alkane), by increasing the CH2 groups the compatibility with DL-limonene increases that is also clear in the values of interaction parameters. Most of the probes tested here, showed a poor compatibility with DL-limonene except for n-nonane and 1-butanol which exhibit better interaction with DL-limonene, as reflected in Ω1∞ and χ12∞ parameter values. The aforementioned results can be further reorganized when considering the chemical structures of the probes and DL-limonene as shown in Figure 1. With regard to the asymmetric double bond in DL-limonene, it is a semi-polar molecule. On the other hand, the effect of oxygen atom on electron cloud of alcohol molecules makes it semi-polar. So, it is rational to see a stronger interaction between polar solvents and DL-limonene. There was no clear trend for the temperature dependence of interaction parameters for the material tested, which was seen in previous studies as well (36). Thermodynamic parameters of mixing The values of enthalpies and free energies of mixing at infinite dilution of probes are positive and show unfavorable miscibility between DL-limonene and investigated solvents. These results are in agreement with the results obtained from the interaction parameters Ω1∞ and χ12∞. Solubility parameter The deviation seen in Figure 3 for some probes may be due to the higher inaccuracy along with δ1s as the case of polar, hydrogen-bonding probes. The values in Table III were used to calculate DL-limonene solubility parameter, δ2. It is concluded that the solubility parameter decreases by increasing temperature in almost a linear trend, in the range of investigated temperatures as shown in Figure 4. The deviation in values obtained by IGC and other common methods for solubility parameter at ambient temperature are corresponding to the shortcomings of these methods that they are usually useful for simple systems where there are no specific interactions such as hydrogen bonding and polar interactions. Also, the inherent limitations of these methods are mostly associated with molecular mechanical force field utilized. Furthermore, the sample density may be a source of discrepancy in solubility parameter measurements. Conclusion IGC at infinite dilution was applied to estimate the thermodynamic properties of DL-limonene by using thirteen different probes. SEM micrographs indicated accurate preparation of solid phase. The computed values of interaction parameters between probe and DL-limonene indicated immiscibility between DL-limonene with the majority of the investigated probes. In particular, polar solvents and n-alkanes present moderate compatibility with DL-limonene, especially at high temperatures, while hydrogen bonding solvents such as alcohols are proved non-solvent for DL-limonene. According to values of Ω1∞ and χ12∞, increasing the numbers of CH2 groups prompted an improved compatibility with DL-limonene among n-alkanes and alcohols. n-Nonane and n-octane appear to be best solvents for DL-limonene among investigated solvents, whereas toluene and 1-butanol are moderate solvents of it. Values of molar heats of sorption and mixing of probes as well as the molar free energies of sorption and mixing of probes values were in agreement with results obtained from Ω1∞ and χ12∞ calculations. The solubility parameter, δ2 of DL-limonene is temperature depended and it decreases with the rise of temperature and its value at ambient temperature was obtained to be 19.20 (J/cm3)0.5. 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Characterization of Poly(MAA-co-EDMA) Monolithic Column for High Performance Liquid Chromatography: Scanning Electron Microscopy, Thermodynamic Parameters and Linear Solvation Energy Relationship Methodology

2018 Journal of Chromatographic Science

doi: 10.1093/chromsci/bmy039pmid: 29718140

Abstract A poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolithic column was prepared in situ for high performance liquid chromatography and characterized utilizing scanning electron microscopy, thermodynamic parameters and linear solvation energy relationship methodology. The results revealed that there were many microglobules forming the larger cluster in poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolith prepared under the selected preparation conditions, which composed continuously aligned macroporous channels through the monolith skeleton. The poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolithic column had a good permeability, a high mechanical stability. The interaction model for each probe molecule on the poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolithic column was invariable within the studied temperature range due to an excellent linear relationship between lnk and 1/T for each probe molecule. The chromatographic retention for each probe molecule on the poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolithic column was an enthalpy-driven process due to |∆H°| > |T∆S°| and ∆G°<0. The main interaction forces of the poly(Methacrylate-co-Ethyleneglycol dimethacrylate) monolith with probe molecules contain hydrogen bonding interaction, hydrophobic interaction and dipole-dipole interaction. However, the contribution of each interaction was in the order of hydrogen bonding acidity > hydrophobic interactions > dipole-dipole interaction > hydrogen bonding basicity. In addition, the poly(Methacrylate-co-Ethyleneglycol dimethacrylate)monolithic column is suitable for the separation of both nonpolar and polar compounds. Introduction In recent years, much attention has been concentrated to the development of monolithic column (also known as continuous bed), which has been appeared at the beginning of 1980s in the last century. The monolithic columns have been widely used in electrochromatography (1, 2), capillary liquid chromatography (3–5), and solid phase extraction (6, 7) because of their ease of preparation, good permeability, and good mass transfer properties. At present, the technique of fabricating monolith has been gradually mature, especially the preparation of polymer monolithic columns (8, 9), which have found widespread used in life science (10, 11), pharmacological science (12), environmental science (13). There are rich functional monomers for the preparation of different kinds of polymer monolithic columns, resulting in the different separation modes such as hydrophilicity, hydrophobicity and ion exchange. Among these functional monomers, acrylic or acrylate monomers were widely used (14, 15). Recently, many study results have demonstrated that the polymer monolithic columns possess many advantages as follows: simple preparation, wide pH range and good permeability. These advantages have led to the development of many methacrylic acid (MAA)-based monolithic columns (16–20). However, the polymer monolithic columns were mainly used as the extraction medium (16, 17), the imprinted capillary monolithic column (18), and the capillary column in electrochromatography (19) and capillary liquid chromatography (20). Duan et al. (21) employed a novel porous poly(NIPAAm-MAA-EDMA) monolithic column, which has the potentials in high throughput applications and deproteinization as well as trace drug enrichment simultaneously in human plasma. To the best of our knowledge, the polymer monolith used as stationary phase in high performance liquid chromatography (HPLC) are still rarely reported. In order to expand the application of polyacrylate monolithic column in HPLC, poly(methacrylic acid-co-ethylene dimethacrylate) was selected as the object of this work. In addition, the study of chromatographic retention of solutes on the polymer monolith is of upmost significance for molecular design of polymer monolithic materials. The aim of this work was to understand the chromatographic retention mechanism for the probe molecules on the poly(MAA-co-EDMA) monolith and the interaction of the poly(MAA-co-EDMA) monolith with the probe molecules. In order to achieve this aim, the thermodynamic parameters were calculated to elucidate the driving power in the chromatographic retention process. The linear solvation energy relationship (LSER) between solvation solute descriptors and retention factors for the studied probe molecules was analyzed to discuss the intermolecular interaction forces of the probe molecules with the poly(MAA-co-EDMA) monolith. Experimental Materials MAA, dodecanol, ethylene dimethacrylate (EDMA) and azobisisobutyronitrile (AIBN) were purchased from Aladdin Chemistry Co. Ltd (Shanghai, China). N,N-dimethylformamide (DMF) was purchased from Rugao Jinling Reagent Factory (Jiangsu, China). Toluene was purchased from Shuanglin Chemical Reagent Factory (Hangzhou,China). Cyclohexanol was purchased from Lingfeng Chemical Reagent Co. Ltd (Shanghai, China). Methanol (MeOH) was purchased from Siyou Fine Chemical Reagent Co. Ltd (Tianjin, China). Naphthalene (Naphth) was purchased from Yuanhang Reagent Factory (Shanghai, China). All other reagents used were at least of analytical grade. Double-distilled water was used throughout this study. Instruments A chromatographic system consisting of a Waters 2,695 Separations Module and a Waters 2,996 photodiode array detector (Milford, MA, USA) were used to perform all HPLC separations. Data acquisition and processing were carried out on an Empower chromatography data system. Methods Preparation of poly(MAA-co-EDMA) monolithic column The monolith was synthesized via polymerization in situ inside a stainless steel column (4.6 mm i.d. × 150 mm). The precursor solution including 0.14 ml MAA, 0.53 ml DMF, 2.41 ml dodecanol, 0.77 ml EDMA and 20 mg AIBN was completely mixed by ultrasonic treatment for 30 min and purged with N2 for 5 min to remove O2. Then, the stainless steel column was filled with the precursor solution. The two ends were immediately closed with column cap. The column was heated at 55°C for 18 h. After polymerization, the poly(MAA-co-EDMA) monolithic column was rinsed thoroughly at room temperature by methanol and methanol–water (60:40, V/V) to remove the residual chemicals and porogenic solvents. Evaluation for poly(MAA-co-EDMA) monolith Scanning electron microscopic (SEM) image was recorded on Hitachi S-4700 scanning electron microscope (Hitachi, Ltd, Tokyo, Japan) to investigate the microscopic morphology of the poly(MAA-co-EDMA) monolithic column. The flow hydrodynamics of the poly(MAA-co-EDMA) monolithic column was investigated by analyzing the variation of back pressure of monolithic column along with flow rate of pure water (22). Based on these hydrodynamic data, the hydraulic permeability of the poly(MAA-EDMA) monolithic column was calculated by using Darcy’s model (22, 23). ΔPL=u·μB0 (1) where ∆P stands the back pressure of column, which is the difference between the inlet and the outlet of the column (Pa), L is the column length (m), μ denotes viscosity of water (Pa s), u is the average linear velocity of water (m/s), and B0 represents the hydraulic permeability (m2). The chromatographic experiments were carried out for the evaluation of the poly(MAA-co-EDMA) monolithic column. The chromatographic conditions were used as follow: a mixture solution of MeOH and water (45:55 or 50:50, V/V) was used as the mobile phase at a flow rate of 1.0 mL min−1. Temperature was controlled at 22, 25, 30, 35 and 40˚C, respectively. All solvents and solutions for HPLC analysis were filtered through a Millipore filter (0.45 μm). In addition, acetone was used to determine the dead time. Stepwise multiple linear regression and Pearson’s correlation analysis were carried out on a software of Statistical Product and Service Solutions (SPSS). Results SEM characterization of the poly(MAA-co-EDMA) monolith As is well known, the good flow hydrodynamics performance and low back pressure of monolith mainly depend on the pore size of monolith (24). The SEM image of the poly(MAA-co-EDMA) monolith is shown in Figure 1. The photograph revealed that the poly(MAA-co-EDMA) monolith is composed of many microglobules, which forms the larger cluster and continuously aligned macroporous channels through the monolith skeleton. Figure 1. View largeDownload slide SEM images of the poly(MAA-co-EDMA) monolith. Figure 1. View largeDownload slide SEM images of the poly(MAA-co-EDMA) monolith. Permeability of the poly(MAA-co-EDMA) monolith The permeability stands for the difficulty degree of fluid passing through the monolithic polymer. It is an important practical factor because of reflecting both the mechanical strength and the convective mass transfer of the stationary phase. The flow hydrodynamics behavior is generally described as the relationship between column pressure and flow rate on monolithic column, which is frequently used to illustrate the permeability of monolithic polymer (22). Generally, the larger the pore size of monolith is, the lower the back pressure is, the better the flow hydrodynamics performance. In this work, the permeability of the poly(MAA-co-EDMA) monolithic polymer was evaluated by measuring its hydrodynamic flow data and the results are shown in Figure 2. The results revealed that the there was a good relationship between the back pressure and the flow rate, the poly(MAA-co-EDMA) monolithic column had a low back pressure in the wide range of flow rate, and the permeability (B0) achieved 9.03 × 10−14 m2, which was high than the reported permeability (B0) valus of monolithic column (23, 25–27). This demonstrated the poly(MAA-co-EDMA) monolithic column had a good permeability and can effectively reduce mass transfer resistance. Meanwhile, the results also demonstrate that the poly(MAA-co-EDMA) monolithic column possesses a high mechanical stability and very strong practicability. Figure 2. View largeDownload slide Plots of back pressure (∆P) versus the flow rate (u) for the poly(MAA-co-EDMA) monolithic column. Figure 2. View largeDownload slide Plots of back pressure (∆P) versus the flow rate (u) for the poly(MAA-co-EDMA) monolithic column. Chromatographic properties The column efficiency was evaluated using naphthalene at the chromatographic conditions as follows: mobile phase, methanol: water = 85:15 (v/v); flow rate, 1.0 mL min−1; temperature, 30°C. The results revealed that the column efficiency of the poly(MAA-co-EDMA) monolithic column is of 1,480 plates per meter. Subsequently, the separation of some substances on the poly(MAA-co-EDMA) monolithic column was investigated, as shown in Figure 3. The results revealed that the poly(MAA-co-EDMA) monolith used as stationary phase for HPLC have good selective retention for alkylbenzene, phenolic compounds and aniline derivatives, suggesting that it has the potentiality to be used as a stationary phase for HPLC. Figure 3. View largeDownload slide Chromatograms of some mixtures on the poly(MAA-co-EDMA) monolithic column. The chromatographic conditions were as follows: mobile phase, methanol: water = 45:55 (V/V); flow rate, 1.0 ml/min; temperature 30°C. Figure 3. View largeDownload slide Chromatograms of some mixtures on the poly(MAA-co-EDMA) monolithic column. The chromatographic conditions were as follows: mobile phase, methanol: water = 45:55 (V/V); flow rate, 1.0 ml/min; temperature 30°C. Determination of thermodynamic parameters As is well known, in the process of the chromatographic retention, the interaction of chromatographic stationary phase with solute molecules mainly includes van der Waals and hydrogen bonding interaction. However, the signs and magnitudes of the thermodynamic parameters such as Gibbs free energy (ΔG°), enthalpy change (ΔH°) and entropy change (ΔS°) are often used to evaluate the interaction between the chromatographic stationary phase and solute molecules. In order to evaluate the interaction forces between probe molecules and poly(MAA-co-EDMA) monolith, the thermodynamic parameters can be determined by van’t Hoff equation (Eq. 2) and thermodynamic equation (Eq. 3) due to the influence of temperature on the ΔH° and ΔS° at the studied temperature range can be ignored (28, 29). lnk=−ΔH°/RT+(ΔS°/R−lnΦ) (2) ΔG°=ΔH°−TΔS° (3) where R is a gas constant, k is the solute retention factor on the poly(MAA-co-EDMA) monolith, and T is absolute temperature. Φ is phase ratio, which stands for the ratio between mobile phase volume and stationary phase volume and reflects various column type of chromatographic column and the important characteristics of the structure. In this work, Φ value for the prepared poly(MAA-co-EDMA) monolithic column is 4.4. The experimental results revealed that there was an excellent linear relationship between lnk and 1/T for each probe molecule over the studied temperature range with the correlation coefficient (r2) of greater than 0.998 (Table I and Supplementary Figure S1), suggesting that the ΔH° and ΔS° values in the chromatographic retention process of the probe molecules on the poly(MAA-co-EDMA) monolith were constant. Table I. Results of the thermodynamic parameters of the probe molecules Probe molecule Temp range (˚C) Van’t Hoff equation (1) ΔH˚ ΔS˚ ΔG˚a Min Max Slope Intercept r2b (kJ mol−1) (J mol−1k−1) (kJ mol−1) Benzene 22 40 2,122.3 −5.9402 0.9999 −17.64 −37.05 −6.41 Toluene 22 40 2,046.8 −6.4426 0.9993 −17.82 −41.23 −4.52 Ethylbenzene 22 40 2,628.5 −6.7312 0.9994 −21.85 −43.63 −8.63 Phenol 22 40 2,404.4 −7.6976 0.9989 −19.99 −51.67 −4.33 Aniline 22 40 2,286.5 −7.1442 0.9979 −19.01 −47.06 −4.74 Benzyl alcohol 22 40 1,851.7 −6.4347 0.9986 −15.40 −41.17 −2.92 Anisole 22 40 2,632.7 −7.4186 0.9994 −21.89 −49.35 −6.93 Benzaldehyde 22 40 2,263.4 −6.8769 0.9990 −18.82 −44.84 −5.22 o-Xylene 22 40 2,660.5 −6.8809 0.9984 −22.12 −44.88 −8.52 m-Xylene 22 40 2,669.0 −6.9011 0.9985 −22.19 −45.04 −8.54 p-Xylene 22 40 2,623.0 −6.7175 0.9991 −21.81 −43.52 −8.62 Chlorobenzene 22 40 2,551.2 −6.5609 0.9993 −21.21 −42.21 −8.41 Bromobenzene 22 40 2,662.3 −6.7096 0.9993 −22.13 −43.45 −8.96 Acetophenone 22 40 2,376.0 −7.2021 0.9992 −19.75 −47.55 −5.34 Probe molecule Temp range (˚C) Van’t Hoff equation (1) ΔH˚ ΔS˚ ΔG˚a Min Max Slope Intercept r2b (kJ mol−1) (J mol−1k−1) (kJ mol−1) Benzene 22 40 2,122.3 −5.9402 0.9999 −17.64 −37.05 −6.41 Toluene 22 40 2,046.8 −6.4426 0.9993 −17.82 −41.23 −4.52 Ethylbenzene 22 40 2,628.5 −6.7312 0.9994 −21.85 −43.63 −8.63 Phenol 22 40 2,404.4 −7.6976 0.9989 −19.99 −51.67 −4.33 Aniline 22 40 2,286.5 −7.1442 0.9979 −19.01 −47.06 −4.74 Benzyl alcohol 22 40 1,851.7 −6.4347 0.9986 −15.40 −41.17 −2.92 Anisole 22 40 2,632.7 −7.4186 0.9994 −21.89 −49.35 −6.93 Benzaldehyde 22 40 2,263.4 −6.8769 0.9990 −18.82 −44.84 −5.22 o-Xylene 22 40 2,660.5 −6.8809 0.9984 −22.12 −44.88 −8.52 m-Xylene 22 40 2,669.0 −6.9011 0.9985 −22.19 −45.04 −8.54 p-Xylene 22 40 2,623.0 −6.7175 0.9991 −21.81 −43.52 −8.62 Chlorobenzene 22 40 2,551.2 −6.5609 0.9993 −21.21 −42.21 −8.41 Bromobenzene 22 40 2,662.3 −6.7096 0.9993 −22.13 −43.45 −8.96 Acetophenone 22 40 2,376.0 −7.2021 0.9992 −19.75 −47.55 −5.34 aΔG˚ is calculated by ΔG = ΔH − TΔS at 303.15 K. br2 is the correlation coefficient. Table I. Results of the thermodynamic parameters of the probe molecules Probe molecule Temp range (˚C) Van’t Hoff equation (1) ΔH˚ ΔS˚ ΔG˚a Min Max Slope Intercept r2b (kJ mol−1) (J mol−1k−1) (kJ mol−1) Benzene 22 40 2,122.3 −5.9402 0.9999 −17.64 −37.05 −6.41 Toluene 22 40 2,046.8 −6.4426 0.9993 −17.82 −41.23 −4.52 Ethylbenzene 22 40 2,628.5 −6.7312 0.9994 −21.85 −43.63 −8.63 Phenol 22 40 2,404.4 −7.6976 0.9989 −19.99 −51.67 −4.33 Aniline 22 40 2,286.5 −7.1442 0.9979 −19.01 −47.06 −4.74 Benzyl alcohol 22 40 1,851.7 −6.4347 0.9986 −15.40 −41.17 −2.92 Anisole 22 40 2,632.7 −7.4186 0.9994 −21.89 −49.35 −6.93 Benzaldehyde 22 40 2,263.4 −6.8769 0.9990 −18.82 −44.84 −5.22 o-Xylene 22 40 2,660.5 −6.8809 0.9984 −22.12 −44.88 −8.52 m-Xylene 22 40 2,669.0 −6.9011 0.9985 −22.19 −45.04 −8.54 p-Xylene 22 40 2,623.0 −6.7175 0.9991 −21.81 −43.52 −8.62 Chlorobenzene 22 40 2,551.2 −6.5609 0.9993 −21.21 −42.21 −8.41 Bromobenzene 22 40 2,662.3 −6.7096 0.9993 −22.13 −43.45 −8.96 Acetophenone 22 40 2,376.0 −7.2021 0.9992 −19.75 −47.55 −5.34 Probe molecule Temp range (˚C) Van’t Hoff equation (1) ΔH˚ ΔS˚ ΔG˚a Min Max Slope Intercept r2b (kJ mol−1) (J mol−1k−1) (kJ mol−1) Benzene 22 40 2,122.3 −5.9402 0.9999 −17.64 −37.05 −6.41 Toluene 22 40 2,046.8 −6.4426 0.9993 −17.82 −41.23 −4.52 Ethylbenzene 22 40 2,628.5 −6.7312 0.9994 −21.85 −43.63 −8.63 Phenol 22 40 2,404.4 −7.6976 0.9989 −19.99 −51.67 −4.33 Aniline 22 40 2,286.5 −7.1442 0.9979 −19.01 −47.06 −4.74 Benzyl alcohol 22 40 1,851.7 −6.4347 0.9986 −15.40 −41.17 −2.92 Anisole 22 40 2,632.7 −7.4186 0.9994 −21.89 −49.35 −6.93 Benzaldehyde 22 40 2,263.4 −6.8769 0.9990 −18.82 −44.84 −5.22 o-Xylene 22 40 2,660.5 −6.8809 0.9984 −22.12 −44.88 −8.52 m-Xylene 22 40 2,669.0 −6.9011 0.9985 −22.19 −45.04 −8.54 p-Xylene 22 40 2,623.0 −6.7175 0.9991 −21.81 −43.52 −8.62 Chlorobenzene 22 40 2,551.2 −6.5609 0.9993 −21.21 −42.21 −8.41 Bromobenzene 22 40 2,662.3 −6.7096 0.9993 −22.13 −43.45 −8.96 Acetophenone 22 40 2,376.0 −7.2021 0.9992 −19.75 −47.55 −5.34 aΔG˚ is calculated by ΔG = ΔH − TΔS at 303.15 K. br2 is the correlation coefficient. To further comprehend the chromatographic retention mechanism of the probe molecules on the poly(MAA-co-EDMA) monolithic column, the relationship between ΔH° and ΔS° for the probe molecules on the poly(MAA-co-EDMA) monolith was analyzed. It is generally considered that there is an identical interaction mechanism of the solute molecules on the stationary phase if there is an excellent linear relationship between ΔH° and ΔS° for the solute molecules on the stationary phase and the enthalpy-entropy compensation behavior can be observed (28, 30). The results revealed that there was poor linear relationship between ΔH° and ΔS° for different kinds of the probe molecules on the poly(MAA-co-EDMA) monolith (Supplementary Figure S2), suggesting the difference in the interaction of the different kinds of the probe molecules with the poly(MAA-co-EDMA) monolith. Chromatographic retention mechanism of the probe molecules The chromatographic retention mechanism of the solute molecule on the stationary phase is an extremely complex process due to the multiple interactions between solute molecule and the stationary phase. So far, many methods such as the retention index, Rohrschneider–McReynolds constant and Abraham LSER have been used to evaluate chromatographic stationary phase. Among these methods, Rohrschneider–McReynolds constant has been widely used to characterize gas chromatographic stationary phases (20). However, a LSER model, developed by Abraham, is suitable for characterizing gas chromatographic stationary phase as well as liquid chromatographic stationary phase. LSER model is based on the assumption that the total free energy change for the transfer of solute molecule from the mobile phase to the stationary phase is the linear sum of the contributions from different individual free energies and is described by the following equation (31–35). logk=c+eE+sS+aA+bB+vV (4) where k is the retention factor. E, S, A, B and V are solute descriptors, which have been construed respectively as follows (32): E denotes the ability of the solute to establish induced dipole interactions through its π electrons and lone pair electrons. S represents a combination of the dipolarity and polarizability of the solute. A and B are the hydrogen bond acidity and hydrogen bond alkalinity of the solute, respectively. V represents the ability of the solute to engage in hydrophobic interactions. Whereas e, s, a, b, v are system constants representing the contributions of stationary phases to retention mechanism through its ability to interact with solutes by defined intermolecular interactions. c is system constant. In this work, 24 kinds of solute molecules were selected as probe molecules. Their solute descriptors obtained from the references (31, 33, 34) and the retention factors at different temperatures are summarized in Table II. The Pearson’s correlations between these solute descriptors for the selected probe molecules were analyzed to assess the suitability of these parameters. The results revealed that the Pearson’s correlation coefficients between the E and S, between E and A and between S and B are 0.654, 0.575 and 0.599, respectively, at the confidence level of 0.01 (Supplementary Table SI). Meanwhile, the discreteness between these parameters was analyzed and the results are shown in Supplementary Figure S3. The results revealed that there are certain correlations between E and S and between S and B parameters for the selected probe molecules as the relationship between B and S is discrete. And, the results of the multiple linear regressions between logk and all solute descriptors showed that there is not a significant correlation between S and logk. Therefore, for the selected solute molecules and the poly(MAA-co-EDMA) monolithic column, the sS term can be removed from Eq. (4), resulting in the LSER model is simplified into: logk=c+eE+aA+bB+vV (5) Table II. Solvation solute descriptors and retention factors for the probe molecules Probe molecules E S A B V k 295.15 K 298.15 K 303.15 K 308.15 K 313.15 K Phenol 0.769 0.759 0.716 0.319 0.7751 1.57 1.44 1.27 1.11 0.98 Naphthalene 1.240 0.906 0.000 0.193 1.0854 18.06 16.21 13.81 11.72 9.89 Benzene 0.608 0.511 0.000 0.144 0.7176 3.49 3.24 2.89 2.58 2.31 Toluene 0.606 0.499 0.000 0.139 0.8573 5.55 5.08 4.47 3.95 3.46 o-Xylene 0.663 0.549 0.000 0.178 0.9982 8.50 7.64 6.64 5.81 5.01 m-Xylene 0.625 0.507 0.000 0.178 0.9982 8.57 7.70 6.71 5.85 5.05 p-Xylene 0.615 0.494 0.000 0.16 0.9982 8.74 7.97 6.97 6.05 5.22 Bromobenzene 0.882 0.723 0.000 0.089 0.8914 10.08 9.17 7.98 6.93 5.97 Ethylbenzene 0.613 0.499 0.000 0.139 0.9982 8.80 8.01 6.98 6.07 5.25 Chlorobenzene 0.718 0.656 0.000 0.056 0.8388 8.03 7.33 6.41 5.61 4.86 Nitrobenzene 0.846 1.138 0.000 0.269 0.8906 6.25 5.65 4.87 4.20 3.60 Styrene 0.849 0.671 0.000 0.177 0.9552 9.17 8.27 7.16 6.18 5.30 Aniline 0.955 1.003 0.249 0.425 0.8162 1.82 1.68 1.50 1.32 1.16 Diethylphthalate 0.729 1.465 0.000 0.869 1.7106 4.26 3.88 3.35 2.83 2.41 Anisole 0.712 0.768 0.000 0.311 0.9160 4.50 4.07 3.55 3.09 2.68 Benzaldehyde 0.813 1.025 0.000 0.394 0.8730 2.22 2.03 1.80 1.60 1.42 Acetophenone 0.806 1.026 0.000 0.503 1.0139 2.34 2.14 1.89 1.67 1.47 Pyridine 0.635 0.843 0.000 0.532 0.6753 0.88 0.83 0.76 0.69 0.62 Benzyl alcohol 0.803 0.882 0.400 0.557 0.9160 0.85 0.79 0.72 0.66 0.59 4-Chlorophenol 1.016 0.794 0.886 0.205 0.8975 5.10 4.59 3.91 3.34 2.84 1-Naphthol 1.480 1.157 0.796 0.318 1.1441 11.02 9.86 8.23 6.89 5.72 4-Methylphenol 0.793 0.769 0.664 0.353 0.9160 2.25 2.06 1.81 1.58 1.38 4-Nitroaniline 1.236 1.827 0.597 0.343 0.9904 6.61 5.78 4.79 3.97 3.30 2-Nitroaniline 1.182 1.441 0.386 0.348 0.9904 7.35 6.54 5.49 4.63 3.89 Probe molecules E S A B V k 295.15 K 298.15 K 303.15 K 308.15 K 313.15 K Phenol 0.769 0.759 0.716 0.319 0.7751 1.57 1.44 1.27 1.11 0.98 Naphthalene 1.240 0.906 0.000 0.193 1.0854 18.06 16.21 13.81 11.72 9.89 Benzene 0.608 0.511 0.000 0.144 0.7176 3.49 3.24 2.89 2.58 2.31 Toluene 0.606 0.499 0.000 0.139 0.8573 5.55 5.08 4.47 3.95 3.46 o-Xylene 0.663 0.549 0.000 0.178 0.9982 8.50 7.64 6.64 5.81 5.01 m-Xylene 0.625 0.507 0.000 0.178 0.9982 8.57 7.70 6.71 5.85 5.05 p-Xylene 0.615 0.494 0.000 0.16 0.9982 8.74 7.97 6.97 6.05 5.22 Bromobenzene 0.882 0.723 0.000 0.089 0.8914 10.08 9.17 7.98 6.93 5.97 Ethylbenzene 0.613 0.499 0.000 0.139 0.9982 8.80 8.01 6.98 6.07 5.25 Chlorobenzene 0.718 0.656 0.000 0.056 0.8388 8.03 7.33 6.41 5.61 4.86 Nitrobenzene 0.846 1.138 0.000 0.269 0.8906 6.25 5.65 4.87 4.20 3.60 Styrene 0.849 0.671 0.000 0.177 0.9552 9.17 8.27 7.16 6.18 5.30 Aniline 0.955 1.003 0.249 0.425 0.8162 1.82 1.68 1.50 1.32 1.16 Diethylphthalate 0.729 1.465 0.000 0.869 1.7106 4.26 3.88 3.35 2.83 2.41 Anisole 0.712 0.768 0.000 0.311 0.9160 4.50 4.07 3.55 3.09 2.68 Benzaldehyde 0.813 1.025 0.000 0.394 0.8730 2.22 2.03 1.80 1.60 1.42 Acetophenone 0.806 1.026 0.000 0.503 1.0139 2.34 2.14 1.89 1.67 1.47 Pyridine 0.635 0.843 0.000 0.532 0.6753 0.88 0.83 0.76 0.69 0.62 Benzyl alcohol 0.803 0.882 0.400 0.557 0.9160 0.85 0.79 0.72 0.66 0.59 4-Chlorophenol 1.016 0.794 0.886 0.205 0.8975 5.10 4.59 3.91 3.34 2.84 1-Naphthol 1.480 1.157 0.796 0.318 1.1441 11.02 9.86 8.23 6.89 5.72 4-Methylphenol 0.793 0.769 0.664 0.353 0.9160 2.25 2.06 1.81 1.58 1.38 4-Nitroaniline 1.236 1.827 0.597 0.343 0.9904 6.61 5.78 4.79 3.97 3.30 2-Nitroaniline 1.182 1.441 0.386 0.348 0.9904 7.35 6.54 5.49 4.63 3.89 View Large Table II. Solvation solute descriptors and retention factors for the probe molecules Probe molecules E S A B V k 295.15 K 298.15 K 303.15 K 308.15 K 313.15 K Phenol 0.769 0.759 0.716 0.319 0.7751 1.57 1.44 1.27 1.11 0.98 Naphthalene 1.240 0.906 0.000 0.193 1.0854 18.06 16.21 13.81 11.72 9.89 Benzene 0.608 0.511 0.000 0.144 0.7176 3.49 3.24 2.89 2.58 2.31 Toluene 0.606 0.499 0.000 0.139 0.8573 5.55 5.08 4.47 3.95 3.46 o-Xylene 0.663 0.549 0.000 0.178 0.9982 8.50 7.64 6.64 5.81 5.01 m-Xylene 0.625 0.507 0.000 0.178 0.9982 8.57 7.70 6.71 5.85 5.05 p-Xylene 0.615 0.494 0.000 0.16 0.9982 8.74 7.97 6.97 6.05 5.22 Bromobenzene 0.882 0.723 0.000 0.089 0.8914 10.08 9.17 7.98 6.93 5.97 Ethylbenzene 0.613 0.499 0.000 0.139 0.9982 8.80 8.01 6.98 6.07 5.25 Chlorobenzene 0.718 0.656 0.000 0.056 0.8388 8.03 7.33 6.41 5.61 4.86 Nitrobenzene 0.846 1.138 0.000 0.269 0.8906 6.25 5.65 4.87 4.20 3.60 Styrene 0.849 0.671 0.000 0.177 0.9552 9.17 8.27 7.16 6.18 5.30 Aniline 0.955 1.003 0.249 0.425 0.8162 1.82 1.68 1.50 1.32 1.16 Diethylphthalate 0.729 1.465 0.000 0.869 1.7106 4.26 3.88 3.35 2.83 2.41 Anisole 0.712 0.768 0.000 0.311 0.9160 4.50 4.07 3.55 3.09 2.68 Benzaldehyde 0.813 1.025 0.000 0.394 0.8730 2.22 2.03 1.80 1.60 1.42 Acetophenone 0.806 1.026 0.000 0.503 1.0139 2.34 2.14 1.89 1.67 1.47 Pyridine 0.635 0.843 0.000 0.532 0.6753 0.88 0.83 0.76 0.69 0.62 Benzyl alcohol 0.803 0.882 0.400 0.557 0.9160 0.85 0.79 0.72 0.66 0.59 4-Chlorophenol 1.016 0.794 0.886 0.205 0.8975 5.10 4.59 3.91 3.34 2.84 1-Naphthol 1.480 1.157 0.796 0.318 1.1441 11.02 9.86 8.23 6.89 5.72 4-Methylphenol 0.793 0.769 0.664 0.353 0.9160 2.25 2.06 1.81 1.58 1.38 4-Nitroaniline 1.236 1.827 0.597 0.343 0.9904 6.61 5.78 4.79 3.97 3.30 2-Nitroaniline 1.182 1.441 0.386 0.348 0.9904 7.35 6.54 5.49 4.63 3.89 Probe molecules E S A B V k 295.15 K 298.15 K 303.15 K 308.15 K 313.15 K Phenol 0.769 0.759 0.716 0.319 0.7751 1.57 1.44 1.27 1.11 0.98 Naphthalene 1.240 0.906 0.000 0.193 1.0854 18.06 16.21 13.81 11.72 9.89 Benzene 0.608 0.511 0.000 0.144 0.7176 3.49 3.24 2.89 2.58 2.31 Toluene 0.606 0.499 0.000 0.139 0.8573 5.55 5.08 4.47 3.95 3.46 o-Xylene 0.663 0.549 0.000 0.178 0.9982 8.50 7.64 6.64 5.81 5.01 m-Xylene 0.625 0.507 0.000 0.178 0.9982 8.57 7.70 6.71 5.85 5.05 p-Xylene 0.615 0.494 0.000 0.16 0.9982 8.74 7.97 6.97 6.05 5.22 Bromobenzene 0.882 0.723 0.000 0.089 0.8914 10.08 9.17 7.98 6.93 5.97 Ethylbenzene 0.613 0.499 0.000 0.139 0.9982 8.80 8.01 6.98 6.07 5.25 Chlorobenzene 0.718 0.656 0.000 0.056 0.8388 8.03 7.33 6.41 5.61 4.86 Nitrobenzene 0.846 1.138 0.000 0.269 0.8906 6.25 5.65 4.87 4.20 3.60 Styrene 0.849 0.671 0.000 0.177 0.9552 9.17 8.27 7.16 6.18 5.30 Aniline 0.955 1.003 0.249 0.425 0.8162 1.82 1.68 1.50 1.32 1.16 Diethylphthalate 0.729 1.465 0.000 0.869 1.7106 4.26 3.88 3.35 2.83 2.41 Anisole 0.712 0.768 0.000 0.311 0.9160 4.50 4.07 3.55 3.09 2.68 Benzaldehyde 0.813 1.025 0.000 0.394 0.8730 2.22 2.03 1.80 1.60 1.42 Acetophenone 0.806 1.026 0.000 0.503 1.0139 2.34 2.14 1.89 1.67 1.47 Pyridine 0.635 0.843 0.000 0.532 0.6753 0.88 0.83 0.76 0.69 0.62 Benzyl alcohol 0.803 0.882 0.400 0.557 0.9160 0.85 0.79 0.72 0.66 0.59 4-Chlorophenol 1.016 0.794 0.886 0.205 0.8975 5.10 4.59 3.91 3.34 2.84 1-Naphthol 1.480 1.157 0.796 0.318 1.1441 11.02 9.86 8.23 6.89 5.72 4-Methylphenol 0.793 0.769 0.664 0.353 0.9160 2.25 2.06 1.81 1.58 1.38 4-Nitroaniline 1.236 1.827 0.597 0.343 0.9904 6.61 5.78 4.79 3.97 3.30 2-Nitroaniline 1.182 1.441 0.386 0.348 0.9904 7.35 6.54 5.49 4.63 3.89 View Large Subsequently, the system coefficients (c, e, a, b, v) were calculated by stepwise multiple linear regression and the results are listed in Table III. The results revealed that the multiple linear regression models (Eq. 5) over the studied temperature range are statistically significant due to F > 144 and P2 = 0.000 for model testing. Obviously, the retention of solutes on the poly(MAA-co-EDMA) monolith mainly depends on the E, A, B and V parameters. This implies that the interaction between the probe molecules and the poly(MAA-co-EDMA) monolith are mainly dipole-dipole interaction, hydrogen bonding interaction and hydrophobic interactions. Meanwhile, in order to identify the appropriateness of the solvation solute descriptors and the selected LSER model (Eq. 5) in this work, the relationships between the logkpred predicated from the selected LSER model (Eq. 5) for each probe molecule and the corresponding experimental logkex at different temperatures were analyzed and the results are shown in Figure 4. The results revealed that there was a good linear relationship between logkpred and logkex (r > 0.98) over the studied temperature range and the slope was near unity. This indicates the selected LSER model (Eq. 5) is suitable for the selected probe molecules. Table III. Solvation interaction parameters of LSER model obtained by stepwise multiple linear regressiona T (K) Unstandardized coefficients Standardized coefficients β t P1 95% confidence interval for D Model testing D SE Lower bound Upper bound r F P2 293.15 c −0.440 0.083 −5.287 0.000 −0.614 −0.266 0.984 144.6 0.000 e 0.550 0.080 0.366 6.904 0.000 0.384 0.717 a −0.282 0.060 −0.245 −4.671 0.000 −0.409 −0.156 b −1.826 0.093 −0.951 −19.67 0.000 −2.020 −1.632 v 1.312 0.091 0.720 14.350 0.000 1.120 1.503 298.15 c −0.457 0.080 −5.683 0.000 −0.625 −0.289 0.985 150.8 0.000 e 0.537 0.077 0.362 6.967 0.000 0.375 0.698 a −0.284 0.058 −0.250 −4.867 0.000 −0.406 −0.162 b −1.805 0.090 −0.953 −20.12 0.000 −1.993 −1.617 v 1.292 0.088 0.719 14.626 0.000 1.107 1.477 303.15 c −0.474 0.076 −6.240 0.000 −0.632 −0.315 0.986 162.3 0.000 e 0.513 0.073 0.353 7.056 0.000 0.361 0.665 a −0.289 0.055 −0.261 −5.249 0.000 −0.404 −0.174 b −1.773 0.085 −0.957 −20.94 0.000 −1.950 −1.596 v 1.258 0.083 0.716 15.096 0.000 1.084 1.433 308.15 c −0.488 0.071 −6.863 0.000 −0.637 −0.339 0.987 177.7 0.000 e 0.492 0.068 0.346 7.221 0.000 0.350 0.635 a −0.294 0.052 −0.271 −5.699 0.000 −0.402 −0.186 b −1.747 0.079 −0.963 −22.01 0.000 −1.913 −1.581 v 1.222 0.078 0.709 15.631 0.000 1.058 1.385 313.15 c −0.508 0.067 −7.562 0.000 −0.648 −0.367 0.988 191.8 0.000 e 0.470 0.064 0.337 7.302 0.000 0.335 0.604 a −0.297 0.049 −0.279 −6.089 0.000 −0.399 −0.195 b −1.720 0.075 −0.968 −22.96 0.000 −1.876 −1.563 v 1.188 0.074 0.704 16.108 0.000 1.034 1.342 T (K) Unstandardized coefficients Standardized coefficients β t P1 95% confidence interval for D Model testing D SE Lower bound Upper bound r F P2 293.15 c −0.440 0.083 −5.287 0.000 −0.614 −0.266 0.984 144.6 0.000 e 0.550 0.080 0.366 6.904 0.000 0.384 0.717 a −0.282 0.060 −0.245 −4.671 0.000 −0.409 −0.156 b −1.826 0.093 −0.951 −19.67 0.000 −2.020 −1.632 v 1.312 0.091 0.720 14.350 0.000 1.120 1.503 298.15 c −0.457 0.080 −5.683 0.000 −0.625 −0.289 0.985 150.8 0.000 e 0.537 0.077 0.362 6.967 0.000 0.375 0.698 a −0.284 0.058 −0.250 −4.867 0.000 −0.406 −0.162 b −1.805 0.090 −0.953 −20.12 0.000 −1.993 −1.617 v 1.292 0.088 0.719 14.626 0.000 1.107 1.477 303.15 c −0.474 0.076 −6.240 0.000 −0.632 −0.315 0.986 162.3 0.000 e 0.513 0.073 0.353 7.056 0.000 0.361 0.665 a −0.289 0.055 −0.261 −5.249 0.000 −0.404 −0.174 b −1.773 0.085 −0.957 −20.94 0.000 −1.950 −1.596 v 1.258 0.083 0.716 15.096 0.000 1.084 1.433 308.15 c −0.488 0.071 −6.863 0.000 −0.637 −0.339 0.987 177.7 0.000 e 0.492 0.068 0.346 7.221 0.000 0.350 0.635 a −0.294 0.052 −0.271 −5.699 0.000 −0.402 −0.186 b −1.747 0.079 −0.963 −22.01 0.000 −1.913 −1.581 v 1.222 0.078 0.709 15.631 0.000 1.058 1.385 313.15 c −0.508 0.067 −7.562 0.000 −0.648 −0.367 0.988 191.8 0.000 e 0.470 0.064 0.337 7.302 0.000 0.335 0.604 a −0.297 0.049 −0.279 −6.089 0.000 −0.399 −0.195 b −1.720 0.075 −0.968 −22.96 0.000 −1.876 −1.563 v 1.188 0.074 0.704 16.108 0.000 1.034 1.342 aD is the system coefficients (c, e, b, v) obtained by stepwise multiple linear regression. SE is standard error value; t is the t distribution value; Sig. is statistical significance; r is the statistical correlation coefficient; F is Fisher coefficient; P1 and P2 are significant difference for each parameter and the model, respectively. Table III. Solvation interaction parameters of LSER model obtained by stepwise multiple linear regressiona T (K) Unstandardized coefficients Standardized coefficients β t P1 95% confidence interval for D Model testing D SE Lower bound Upper bound r F P2 293.15 c −0.440 0.083 −5.287 0.000 −0.614 −0.266 0.984 144.6 0.000 e 0.550 0.080 0.366 6.904 0.000 0.384 0.717 a −0.282 0.060 −0.245 −4.671 0.000 −0.409 −0.156 b −1.826 0.093 −0.951 −19.67 0.000 −2.020 −1.632 v 1.312 0.091 0.720 14.350 0.000 1.120 1.503 298.15 c −0.457 0.080 −5.683 0.000 −0.625 −0.289 0.985 150.8 0.000 e 0.537 0.077 0.362 6.967 0.000 0.375 0.698 a −0.284 0.058 −0.250 −4.867 0.000 −0.406 −0.162 b −1.805 0.090 −0.953 −20.12 0.000 −1.993 −1.617 v 1.292 0.088 0.719 14.626 0.000 1.107 1.477 303.15 c −0.474 0.076 −6.240 0.000 −0.632 −0.315 0.986 162.3 0.000 e 0.513 0.073 0.353 7.056 0.000 0.361 0.665 a −0.289 0.055 −0.261 −5.249 0.000 −0.404 −0.174 b −1.773 0.085 −0.957 −20.94 0.000 −1.950 −1.596 v 1.258 0.083 0.716 15.096 0.000 1.084 1.433 308.15 c −0.488 0.071 −6.863 0.000 −0.637 −0.339 0.987 177.7 0.000 e 0.492 0.068 0.346 7.221 0.000 0.350 0.635 a −0.294 0.052 −0.271 −5.699 0.000 −0.402 −0.186 b −1.747 0.079 −0.963 −22.01 0.000 −1.913 −1.581 v 1.222 0.078 0.709 15.631 0.000 1.058 1.385 313.15 c −0.508 0.067 −7.562 0.000 −0.648 −0.367 0.988 191.8 0.000 e 0.470 0.064 0.337 7.302 0.000 0.335 0.604 a −0.297 0.049 −0.279 −6.089 0.000 −0.399 −0.195 b −1.720 0.075 −0.968 −22.96 0.000 −1.876 −1.563 v 1.188 0.074 0.704 16.108 0.000 1.034 1.342 T (K) Unstandardized coefficients Standardized coefficients β t P1 95% confidence interval for D Model testing D SE Lower bound Upper bound r F P2 293.15 c −0.440 0.083 −5.287 0.000 −0.614 −0.266 0.984 144.6 0.000 e 0.550 0.080 0.366 6.904 0.000 0.384 0.717 a −0.282 0.060 −0.245 −4.671 0.000 −0.409 −0.156 b −1.826 0.093 −0.951 −19.67 0.000 −2.020 −1.632 v 1.312 0.091 0.720 14.350 0.000 1.120 1.503 298.15 c −0.457 0.080 −5.683 0.000 −0.625 −0.289 0.985 150.8 0.000 e 0.537 0.077 0.362 6.967 0.000 0.375 0.698 a −0.284 0.058 −0.250 −4.867 0.000 −0.406 −0.162 b −1.805 0.090 −0.953 −20.12 0.000 −1.993 −1.617 v 1.292 0.088 0.719 14.626 0.000 1.107 1.477 303.15 c −0.474 0.076 −6.240 0.000 −0.632 −0.315 0.986 162.3 0.000 e 0.513 0.073 0.353 7.056 0.000 0.361 0.665 a −0.289 0.055 −0.261 −5.249 0.000 −0.404 −0.174 b −1.773 0.085 −0.957 −20.94 0.000 −1.950 −1.596 v 1.258 0.083 0.716 15.096 0.000 1.084 1.433 308.15 c −0.488 0.071 −6.863 0.000 −0.637 −0.339 0.987 177.7 0.000 e 0.492 0.068 0.346 7.221 0.000 0.350 0.635 a −0.294 0.052 −0.271 −5.699 0.000 −0.402 −0.186 b −1.747 0.079 −0.963 −22.01 0.000 −1.913 −1.581 v 1.222 0.078 0.709 15.631 0.000 1.058 1.385 313.15 c −0.508 0.067 −7.562 0.000 −0.648 −0.367 0.988 191.8 0.000 e 0.470 0.064 0.337 7.302 0.000 0.335 0.604 a −0.297 0.049 −0.279 −6.089 0.000 −0.399 −0.195 b −1.720 0.075 −0.968 −22.96 0.000 −1.876 −1.563 v 1.188 0.074 0.704 16.108 0.000 1.034 1.342 aD is the system coefficients (c, e, b, v) obtained by stepwise multiple linear regression. SE is standard error value; t is the t distribution value; Sig. is statistical significance; r is the statistical correlation coefficient; F is Fisher coefficient; P1 and P2 are significant difference for each parameter and the model, respectively. Figure 4. View largeDownload slide Plots of the logkex versurs the logkpred in the different temperatures. Figure 4. View largeDownload slide Plots of the logkex versurs the logkpred in the different temperatures. Discussion Detection of interaction force of the probe molecules Based on the concept of thermodynamics, the ΔH° value mainly stands for the strength of the interaction between solute and stationary phase. The negative ΔH° value reflects an exothermic process. The more negative the ΔH° value is, the stronger the interaction of stationary phase with solute molecule is. And, the ΔS° value represents the order degree for the arrangement. The positive ΔS° value denotes the decrease in the order degree for the arrangement. It can be found that both ΔH° and ΔS° values are negative, indicating that the interaction of each probe molecule with the poly(MAA-co-EDMA) monolith is an exothermic process and each probe molecule is more ordered on the poly(MAA-co-EDMA) monolith. To insure the negative ΔG° values of the probe molecules on the poly(MAA-co-EDMA) monolith, there must be an enthalpic compensation. And, the ΔH° and ΔS° values for the probe molecules on the stationary phase fit with |ΔH°| > |TΔS°| over the studied temperature range, indicating that the interaction of the probe molecules with the poly(MAA-co-EDMA) monolith is enthalpy-driven process. Based on Ross’s viewpoint (36), there are three possible interaction models as follows: (1) the positive values of both ΔH° and ΔS° for hydrophobic interaction, (2) the negative values of both ΔH° and ΔS° for van der Waals forces and/or hydrogen bonding interaction, and (3) the negative ΔH° value and the positive ΔS° value for electrostatic interaction. The results revealed that the values of both ΔH° and ΔS° over the studied temperature range were negative, suggesting that the main interaction force of the probe molecules with the poly(MAA-co-EDMA) monolith is van der Waals forces and/or hydrogen bonding interaction. Analysis of chromatographic retention process As is well known, the multiple linear regression analysis is a statistical analysis method. In statistics, the standardized coefficient for the model system coefficients is generally used to answer the question of which of the independent variables has a greater effect on the dependent variable in a multiple linear regression analysis when all variables are measured in different units. In other words, the magnitude of the absolute value of the standardized coefficient reflects the contribution of the corresponding variables to the model. Based on the statistical viewpoint, the larger the absolute value of the standardized coefficient of the independent variable is, the greater the contribution of the corresponding specific interaction. As shown in Table III the standardized coefficients for the independent variables (E, A, B, V) were significantly different, indicating that the contribution of each corresponding specific interaction to chromatographic retention of solute on the poly(MAA-co-EDMA) monolith was different. However, the contribution of each specific interaction was in the order of B > V > E > A on the poly(MAA-co-EDMA) monolith stationary phase. Therefore, in the chromatographic retention process, the contribution of each specific interaction for the poly(MAA-co-EDMA) monolith stationary phase is in the order of hydrogen bonding acidity > hydrophobic interactions > dipole-dipole interaction > hydrogen bonding basicity. Conclusions The experimental results revealed that both polar and nonpolar compounds can be efficiently separated on the poly(MAA-co-EDMA) monolith stationary phase. The chromatographic retention of all probe molecules on the poly(MAA-co-EDMA) monolith stationary phase was an enthalpy-driven process, and the interaction model of each probe molecule was invariable over the studied temperature range. However, the interaction model of the different kinds of probe molecules with the poly(MAA-co-EDMA) monolith was different. The interaction between the probe molecules and the poly(MAA-co-EDMA) monolith were mainly dipole-dipole interaction, hydrogen bonding interaction and hydrophobic interactions. Meanwhile, the contribution of each specific interaction for the poly(MAA-co-EDMA) monolith stationary phase is in the order of hydrogen bond alkalinity > hydrophobic interaction > dipole-dipole interaction > hydrogen bond acidity. 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LC–MS-MS Determination of Oxcarbazepine and an Active Metabolite in Human Plasma for Clinical Application

2018 Journal of Chromatographic Science

doi: 10.1093/chromsci/bmy040pmid: 29733349

Abstract A bioanalytical method for the simultaneous determination of oxcarbazepine (OXC) and its pharmacologically active metabolite, 10, 11-dihydro-10-hydroxycarbamazepine (HOXC), in human plasma was developed using a high-performance liquid chromatography with tandem mass spectrometry. After protein precipitation by acetonitrile, the analytes (OXC and HOXC) and a stable-labeled isotope of OXC as an internal standard (IS) were chromatographed on a Synergi Hydro-RP column (2.0 mm × 50 mm, 4 μm) with a gradient elution at a flow rate 0.5 mL/min. Detection was performed in electrospray ionization in the positive mode by monitoring the selected ion transitions at m/z 253.1 → 180.2, m/z 255.1 → 192.2 and m/z 257.2 → 184.2 for OXC, HOXC and the IS, respectively. The method was validated according to current bioanalytical method validation guidelines. The calibration standard curve ranged from 0.02 to 10 μg/mL for OXC and 0.1–50 μg/mL for HOXC using only 0.05 mL of plasma. No interferences were detected in blank plasma and hemolyzed plasma did not have any impacts on the assay. Accuracy and precision in the intra- and inter-batch reproducibility were within 15%. Neither cross-analytes inter-conversion nor matrix effects were observed. The method was successfully applied to determine plasma concentrations of OXC and HOXC to support a clinical study. Introduction Oxcarbazepine (OXC) has been used for patients with partial seizures as monotherapy and as adjunctive therapy by a proposed mechanism of action, blockade of voltage-gated sodium channels (1). OXC is metabolized to sulfate and glucuronide conjugates along with a pharmacological active metabolite, 10, 11-dihydro-10-hydroxycarbamazepine (HOXC) (2). Systemic exposures of HOXC are much higher than OXC, which make HOXC a clinically relevant metabolite (3, 4). Thus, in order to fully assess pharmacological effects in humans dosed with OXC, quantification of HOXC along with OXC is important. A number of bioanalytical methods have been published for the determination of OXC itself and simultaneous assay of OXC and HOXC in human plasma (5–12). However, most methods utilized liquid–liquid extraction or solid phase extraction, which are labor-intensive when a large number of samples are processed in a short timeframe. Thus, in the present study, protein precipitation is employed as sample extraction since it is simpler with higher sample throughput. In addition, in the previously reported methods, relatively large volume of plasma (e.g., 0.3 mL (6), 0.5 mL (7)) was used to achieve higher sensitivity, which could be an issue since only limited volume of blood sampling is allowed in children and infants who have an opportunity to receive OXC (13). Furthermore, as OXC can be concomitantly used with other anti-epilepsy drugs, a highly selective method is required, which is often a challenge in high-performance liquid chromatography (HPLC) with UV detection. High-performance liquid chromatography with tandem mass spectrometry (LC–MS-MS) is a powerful platform for developing more sensitive and selective bioanalytical methods. In the present study, we have developed a bioanalytical method for simultaneous determination of OXC and HOXC in human plasma by LC–MS-MS using only 0.05 mL of plasma and the method was successfully applied to assay pharmacokinetic plasma samples supporting a clinical study. Even with the low volume of plasma (0.05 mL) used, the established method achieved the lower limit of quantification (LLOQ) at 20 and 100 ng/mL for OXC and HOXC, respectively, sufficiently quantifying clinically relevant plasma concentrations. The LLOQ of OXC in the present method was equal to or lower than that in the previously reported methods; 580 ng/mL (7), 0.2 μmol/L (ca. 50 ng/mL) (11), 20 ng/mL (8), 78 ng/mL (10), while higher than 9.58 ng/mL using 0.3 mL of plasma (6). Other than the LLOQ, the present method has following advantages over previous methods: simple sample preparation and low volume of plasma used for the assay. This article demonstrates a simple and reproducible validated bioanalytical method for simultaneous determination of OXC and HOXC in human plasma and its successful application in clinical bioanalysis. Experimental Materials OXC, HOXC and a stable labeled isotope of OXC used as an internal standard (IS) (chemical structures in Figure 1) were obtained from Toronto Research Chemicals Inc (Toronto, Ontario, Canada) or TLC Pharmachem (Mississauga, Ontario, Canada). HPLC grade acetonitrile and methanol, and special grade formic acid were purchased from Fisher scientific (Fair Lawn, NJ, USA) or Sigma Aldrich (St. Louis, MO, USA). Drug-free blank plasma with K2EDTA as an anticoagulant was obtained from Bioreclamation Inc (Westbury, NY, USA). Figure 1. View largeDownload slide Chemical structures of oxcarbazepine (A), 10, 11-dihydro-10-hydroxycarbamazepine (B), and a stable labeled isotope of oxcarbazepine (C). Figure 1. View largeDownload slide Chemical structures of oxcarbazepine (A), 10, 11-dihydro-10-hydroxycarbamazepine (B), and a stable labeled isotope of oxcarbazepine (C). Chromatographic and mass spectrometric conditions Chromatographic separation was performed by a Shimadzu HPLC system (Shimadzu, Kyoto, Japan) using gradient elution of mobile phase (A) water/formic acid (100/0.1, v/v) and (B) acetonitrile/methanol/formic acid (50/50/0.1, v/v/v). A linear increase in mobile phase (B) from 30 to 70% for 2.5 min at a flow rate of 0.5 mL/min was utilized to elute the analytes and the IS. The system was flushed immediately with 95% (B) for 1.4 min at a flow rate of 1.0 mL/min and then reversed to the initial composition of 30% (B) at a flow rate of 0.5 mL/min for 1.2 min for re-equilibration. The total run time per assay was 5.2 min. Chromatographic separation was achieved on a Synergi Hydro-RP column (2.0 mm × 50 mm, 4 μm) at ambient temperature. Electrospray ionization in the positive ion mode was employed for quantification with triple quadrupole mass spectrometer using API4000 (Sciex, CA, USA). Optimized mass spectrometer conditions are represented in Table I. The voltage, temperature, curtain gas flow and nebulizing gas flow were 5,000 V, 500°C, 25 psi and 50, respectively. Multiple reaction monitoring mode was used for detection by monitoring the transition pairs of m/z 253.1/180.2, m/z 255.1/194.2 and m/z 257.2/184.2 as precursor ion/product ion for OXC, HOXC and the IS, respectively. Table I. Optimized Mass Spectrometry Conditions for the Assay of Oxcarbazepine (OXC), 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) and the Internal Standard (IS) Analytes Q1 mass (m/z) Q3 mass (m/z) Dwell time (ms) Declustering potential (V) Collision energy (V) Entrance potential (V) Collision cell exit potential (V) OXC 253.1 180.2 200 50 43 10 10 HOXC 255.1 194.2 200 48 53 10 10 IS 257.2 184.2 200 50 43 10 10 Analytes Q1 mass (m/z) Q3 mass (m/z) Dwell time (ms) Declustering potential (V) Collision energy (V) Entrance potential (V) Collision cell exit potential (V) OXC 253.1 180.2 200 50 43 10 10 HOXC 255.1 194.2 200 48 53 10 10 IS 257.2 184.2 200 50 43 10 10 Table I. Optimized Mass Spectrometry Conditions for the Assay of Oxcarbazepine (OXC), 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) and the Internal Standard (IS) Analytes Q1 mass (m/z) Q3 mass (m/z) Dwell time (ms) Declustering potential (V) Collision energy (V) Entrance potential (V) Collision cell exit potential (V) OXC 253.1 180.2 200 50 43 10 10 HOXC 255.1 194.2 200 48 53 10 10 IS 257.2 184.2 200 50 43 10 10 Analytes Q1 mass (m/z) Q3 mass (m/z) Dwell time (ms) Declustering potential (V) Collision energy (V) Entrance potential (V) Collision cell exit potential (V) OXC 253.1 180.2 200 50 43 10 10 HOXC 255.1 194.2 200 48 53 10 10 IS 257.2 184.2 200 50 43 10 10 Preparation of calibration and quality control samples A stock solution of OXC and HOXC was separately prepared by dissolving in methanol to yield a concentration of 1 and 10 mg/mL, respectively, and then mixed with a volume ratio of 2:1 to make a mixed stock solution. The working standard solutions were prepared by diluting the mixed stock solution with methanol. A stock IS solution (1 mg/mL) was prepared then diluted 1,000-fold with methanol to make an IS working solution (1 μg/mL). The stock and working solutions were stored at −20°C. Calibration samples were prepared by fortifying working standard solution to 50 μL of drug-free blank human plasma at 20/100, 40/200, 100/500, 500/2,500, 1,000/5,000, 5,000/25,000, 8,000/40,000 and 10,000/50,000 ng/mL for OXC/HOXC. Quality control (QC, OXC/HOXC) samples at four concentration levels, LLOQ (20/100 ng/mL), QC at low concentration (LQC; 60/300 ng/mL), QC at middle concentration (MQC; 1,500/7,500 ng/mL), and QC at high concentration (HQC; 7,500/37,500 ng/mL), were prepared and stored at −20°C until use. Sample extraction procedures To the calibration and QC samples, 20 μL of the IS working solution (1 μg/mL) was spiked while 20 μL of methanol to blank samples. Acetonitrile (500 μL) was added for extraction then vortexed for 10 min. After centrifugation at 4,000 × g for 5 min, a 50-μL aliquot of the supernatant was transferred to each well in a 96-well plate, and then mixed with 500 μL of 0.1% formic acid. An aliquot of 10 μL was injected into the LC–MS-MS system. Method validation Linearity Peak area ratios of the analytes (OXC and HOXC) to the IS were plotted against corresponding nominal concentrations. The least square regression with 1/(concentration)2 as a weighting factor was used to have a calibration curve. Linear and quadratic regressions were used for OXC and HOXC, respectively. Accuracy as relative error (RE) was determined to ensure that RE was within ±15%. Precision as relative standard deviation (RSD) was calculated at each concentration in 19 separate assay runs. Selectivity The selectivity was assessed by analyzing drug-free blank plasma from six separate individuals to find any potential interfering peaks at the retention times of the analytes (OXC and HOXC) and the IS. The interfering peaks’ area should be within 20% of that of the analytes at the LLOQ level and 5% of that of the IS. Accuracy and precision Accuracy and precision in intra- and inter-batch reproducibility were evaluated using QC samples at four concentration levels (LLOQ, LQC, MQC and HQC). Six replicates per concentration were determined to calculate accuracy as RE and precision as RSD. RE and RSD values for LQC, MQC and HQC should be within ±15 and 15%, respectively (±20 and 20% for the LLOQ). Dilution integrity was examined by diluting QC samples by 10-fold to ensure that RE and RSD values were within ±15 and 15%, respectively. Hemolysis effects Potential impacts of hemolyzed plasma were evaluated using hemolyzed plasma prepared by fortifying the analytes at the low QC level (60/300 ng/mL for OXC/HOXC) in plasma/blood mixture (95/5, v/v). Hemolyzed QC samples were quantified using the calibration samples prepared from non-hemolyzed plasma, then RE and RSD values were calculated. RE and RSD values should be within ±15 and 15%, respectively. Extraction recovery and matrix effect Extraction recovery was determined at three different concentrations covering low, medium and high ranges of calibration curve by dividing peak areas of QC samples by those of blank extract to which analytes at the same concentration were fortified (reference samples). Matrix factors of OXC and HOXC were calculated in six individual lots of plasma by comparing peak areas in reference samples with those of neat solution at the LQC level. RSD value was calculated to ensure that it was within 15%. Cross-analytes inter-conversion Potential inter-conversions between OXC and HOXC (from OXC to HOXC and vice versa) were evaluated using HQC samples in which only one analyte (OXC or HOXC) was fortified. Three replicates were put on bench for 6 h at room temperature and then extracted. The formed counterpart analyte was assayed to ensure that peak areas were within 20% of those at the LLOQ level. Stability Stability in human plasma was assessed at two concentrations using LQC and HQC samples. The stability assessment included bench-top stability for 6 and 24 h at ambient temperature, freeze/thaw stability up to five cycles from −20 or −70°C to ambient temperature, and long-term frozen stability for 181 days at −20°C and 194 days at −70°C, as well as processed sample stability for 70 h at 4°C. Bench-top stability in whole blood was also assessed for 2 h at room temperature. Stability in standard solutions was investigated at −20°C (380/364 days for OXC/HOXC). All the stability assessments were performed in three replicates per concentration and RE values should be within ±15%. Clinical application A clinical study was performed in subjects with refractory partial onset seizures who received a subject-dependent stable dose of OXC for at least 1 month with or without perampanel. The study was approved by the ethics committee and performed with informed consent from subjects. Blood samples were obtained from subjects in weeks 0, 10, 14 and 19 in tubes with K2EDTA as an anticoagulant. Plasma samples were obtained by centrifugation (ca. 2000 × g, 15 min) of blood samples and then were stored at −20°C until they were assayed. Results Method validation RE values at each concentration of calibration curves in 19 separate assay runs were within ±3.8 and ±2.4% for OXC and HOXC, respectively (Table II), which was within the pre-defined acceptance criteria recommended in the bioanalytical method validation guidelines by the European Medicines Agency (14) and US Food and Drug Administration (15). RSD values of OXC and HOXC were within 3.1 and 3.5%, respectively, in 19 assay runs. Representative chromatograms of OXC, HOXC and the IS are shown in Figure 2A and B. No interfering peaks were observed in six different lots of blank plasma and in zero concentration samples fortified only with the IS. OXC, HOXC and the IS were eluted at ca. 2.2, 1.7 and 2.2 min, respectively. Table II. Linearity of Calibration Samples for the Simultaneous Assay of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma OXC (ng/mL) % RE % RSD HOXC (ng/mL) % RE % RSD 20 −1.5 1.8 100 −0.5 1.6 40 1.6 3.1 200 0.2 3.5 100 3.1 2.4 500 2.0 2.5 500 1.3 2.8 2,500 −0.6 2.3 1,000 2.3 1.7 5,000 −0.5 2.3 5,000 −1.0 1.5 25,000 −1.3 2.0 8,000 −3.8 2.6 40,000 −1.6 2.8 10,000 −1.9 2.9 50,000 2.4 2.5 OXC (ng/mL) % RE % RSD HOXC (ng/mL) % RE % RSD 20 −1.5 1.8 100 −0.5 1.6 40 1.6 3.1 200 0.2 3.5 100 3.1 2.4 500 2.0 2.5 500 1.3 2.8 2,500 −0.6 2.3 1,000 2.3 1.7 5,000 −0.5 2.3 5,000 −1.0 1.5 25,000 −1.3 2.0 8,000 −3.8 2.6 40,000 −1.6 2.8 10,000 −1.9 2.9 50,000 2.4 2.5 % RE and % RSD represent percentage of relative error and percentage of relative standard deviation, of 19 separate assay runs, respectively. Table II. Linearity of Calibration Samples for the Simultaneous Assay of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma OXC (ng/mL) % RE % RSD HOXC (ng/mL) % RE % RSD 20 −1.5 1.8 100 −0.5 1.6 40 1.6 3.1 200 0.2 3.5 100 3.1 2.4 500 2.0 2.5 500 1.3 2.8 2,500 −0.6 2.3 1,000 2.3 1.7 5,000 −0.5 2.3 5,000 −1.0 1.5 25,000 −1.3 2.0 8,000 −3.8 2.6 40,000 −1.6 2.8 10,000 −1.9 2.9 50,000 2.4 2.5 OXC (ng/mL) % RE % RSD HOXC (ng/mL) % RE % RSD 20 −1.5 1.8 100 −0.5 1.6 40 1.6 3.1 200 0.2 3.5 100 3.1 2.4 500 2.0 2.5 500 1.3 2.8 2,500 −0.6 2.3 1,000 2.3 1.7 5,000 −0.5 2.3 5,000 −1.0 1.5 25,000 −1.3 2.0 8,000 −3.8 2.6 40,000 −1.6 2.8 10,000 −1.9 2.9 50,000 2.4 2.5 % RE and % RSD represent percentage of relative error and percentage of relative standard deviation, of 19 separate assay runs, respectively. Figure 2. View largeDownload slide Representative LC–MS-MS chromatograms of the analytes (upper panel) oxcarbazepine (A and B) and 10, 11-dihydro-10-hydroxycarbamazepine (C and D) as well as the internal standard (lower panel). Chromatograms of blank plasma fortified only with the IS (A and C) and an LLOQ sample with the IS (B and D) are represented. Figure 2. View largeDownload slide Representative LC–MS-MS chromatograms of the analytes (upper panel) oxcarbazepine (A and B) and 10, 11-dihydro-10-hydroxycarbamazepine (C and D) as well as the internal standard (lower panel). Chromatograms of blank plasma fortified only with the IS (A and C) and an LLOQ sample with the IS (B and D) are represented. Possible cross-analytes inter-conversions were assessed using QC samples fortified only with OXC or HOXC at the HQC level. The inter-conversion was <1% of the LLOQ from OXC to HOXC while none from HOXC to OXC, suggesting no impacts by inter-conversion on the assays of OXC and HOXC. Results in the intra- and inter-batch assay reproducibility are represented in Table III. In the intra-batch assay, RE and RSD values in LQC, MQC and HQC samples were within ±5.2 and 2.7%, respectively, for OXC assay, and were within ±8.3 and 2.1% for HOXC, respectively. The RE and RSD values in inter-batch assay were within ±7.9 and 4.0%, respectively, for OXC and HOXC. At the LLOQ, RE and RSD values were within ±10.6 and 7.6%, respectively, for both analytes in intra- and inter-batch reproducibility. These data demonstrated that QC samples including the LLOQ were within the acceptance criteria recommended by the bioanalytical method validation guidelines. Data of the dilution integrity with 10-fold dilution showed that RE and RSD values for OXC and HOXC were within ±4.6 and 1.9%, respectively. Table III. Intra- and Inter-Batch Accuracy and Precision for the Simultaneous Assay of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma Quality control OXC HOXC % RE % RSD % RE % RSD Intra-batch  LLOQ −7.9 4.7 −10.6 5.3  LQC −5.2 2.7 −7.3 2.1  MQC −3.3 1.1 −5.4 1.7  HQC −3.3 0.8 −8.3 1.2 Inter-batch  LLOQ −4.6 6.4 −3.5 7.6  LQC −6.2 2.7 −7.7 4.0  MQC −5.0 2.2 −5.5 2.1  HQC −5.3 2.1 −7.9 1.8 Quality control OXC HOXC % RE % RSD % RE % RSD Intra-batch  LLOQ −7.9 4.7 −10.6 5.3  LQC −5.2 2.7 −7.3 2.1  MQC −3.3 1.1 −5.4 1.7  HQC −3.3 0.8 −8.3 1.2 Inter-batch  LLOQ −4.6 6.4 −3.5 7.6  LQC −6.2 2.7 −7.7 4.0  MQC −5.0 2.2 −5.5 2.1  HQC −5.3 2.1 −7.9 1.8 HQC, quality control at high concentration; LLOQ, lower limit of quantification; LQC, quality control at low concentration; MQC, quality control at middle concentration. RE and %RSD represent percentage of relative error and percentage of relative standard deviation, respectively. Table III. Intra- and Inter-Batch Accuracy and Precision for the Simultaneous Assay of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma Quality control OXC HOXC % RE % RSD % RE % RSD Intra-batch  LLOQ −7.9 4.7 −10.6 5.3  LQC −5.2 2.7 −7.3 2.1  MQC −3.3 1.1 −5.4 1.7  HQC −3.3 0.8 −8.3 1.2 Inter-batch  LLOQ −4.6 6.4 −3.5 7.6  LQC −6.2 2.7 −7.7 4.0  MQC −5.0 2.2 −5.5 2.1  HQC −5.3 2.1 −7.9 1.8 Quality control OXC HOXC % RE % RSD % RE % RSD Intra-batch  LLOQ −7.9 4.7 −10.6 5.3  LQC −5.2 2.7 −7.3 2.1  MQC −3.3 1.1 −5.4 1.7  HQC −3.3 0.8 −8.3 1.2 Inter-batch  LLOQ −4.6 6.4 −3.5 7.6  LQC −6.2 2.7 −7.7 4.0  MQC −5.0 2.2 −5.5 2.1  HQC −5.3 2.1 −7.9 1.8 HQC, quality control at high concentration; LLOQ, lower limit of quantification; LQC, quality control at low concentration; MQC, quality control at middle concentration. RE and %RSD represent percentage of relative error and percentage of relative standard deviation, respectively. Potential hemolysis effects were investigated by quantification of hemolyzed QC samples against calibrators prepared by non-hemolyzed plasma. RE and RSD values of OXC and HOXC in hemolyzed samples were within ±7.4 and 3.9%, respectively, indicating no hemolysis effects. Mean extraction recoveries of OXC and HOXC at three concentrations are shown in Table IV. The mean recovery at each concentration was almost complete (ca. 100%) and the overall recovery as the mean at the three concentrations was 102.3% for OXC and 102.1% for HOXC. Potential matrix effects of OXC/HOXC in six different lots of plasma were evaluated at the low level (60/300 ng/mL) and results are represented in Table IV. IS-normalized matrix factors were 99% for OXC and 106% for HOXC with %RSD of 3.0 and 1.9%, respectively, indicating no matrix effects. Table IV. Mean Extraction Recovery and Matrix Effect of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma Analyte Concentration (ng/mL) % Mean recovery IS-normalized matrix factor OXC  LQC 60 108.4 0.99 ± 0.03 (% RSD: 3.0)  MQC 1,500 97.4  HQC 7,500 101.0 HOXC  LQC 300 106.4 1.06 ± 0.02 (% RSD; 1.9)  MQC 7,500 98.8  HQC 37,500 101.1 Analyte Concentration (ng/mL) % Mean recovery IS-normalized matrix factor OXC  LQC 60 108.4 0.99 ± 0.03 (% RSD: 3.0)  MQC 1,500 97.4  HQC 7,500 101.0 HOXC  LQC 300 106.4 1.06 ± 0.02 (% RSD; 1.9)  MQC 7,500 98.8  HQC 37,500 101.1 HQC, quality control at high concentration; LQC, quality control at low concentration; MQC, quality control at middle concentration. Table IV. Mean Extraction Recovery and Matrix Effect of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma Analyte Concentration (ng/mL) % Mean recovery IS-normalized matrix factor OXC  LQC 60 108.4 0.99 ± 0.03 (% RSD: 3.0)  MQC 1,500 97.4  HQC 7,500 101.0 HOXC  LQC 300 106.4 1.06 ± 0.02 (% RSD; 1.9)  MQC 7,500 98.8  HQC 37,500 101.1 Analyte Concentration (ng/mL) % Mean recovery IS-normalized matrix factor OXC  LQC 60 108.4 0.99 ± 0.03 (% RSD: 3.0)  MQC 1,500 97.4  HQC 7,500 101.0 HOXC  LQC 300 106.4 1.06 ± 0.02 (% RSD; 1.9)  MQC 7,500 98.8  HQC 37,500 101.1 HQC, quality control at high concentration; LQC, quality control at low concentration; MQC, quality control at middle concentration. Table V summarizes stability data of OXC and HOXC at low and high concentrations. OXC and HOXC were stable in human plasma for at least 181 and 194 days at −20 and −70°C, respectively, and even after five freeze/thaw cycles from below −20 or −70°C to ambient temperature. Processed sample stability of OXC and HOXC was ensured up to 70 h at 4°C. Bench-top stability in plasma was ensured up to 6 h for OXC while up to 24 h for HOXC at ambient temperature. Bench-top stability in whole blood was confirmed for 2 h at ambient temperature for OXC and HOXC. The analytes in the stock solutions were stable for at least 364 days at −20°C. Table V. Stability of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma and Whole Blood Stability test Matrix Condition Quality control samples OXC HOXC % RE Bench-top Plasma After 6 h at RT LQC −9.5 −5.5 HQC −7.2 −6.7 Bench-top Whole blood After 2 h at RT LQC 0.3 −1.1 HQC −1.0 −1.8 Freeze/thaw Plasma After five cycles LQC −11.3 −1.5 HQC −9.1 −6.7 Long-term frozen Plasma After 181 days at −20°C LQC −13.1 2.6 HQC −7.0 −3.2 Processed Plasma After 70 h at 4°C LQC −6.8 −6.3 HQC −5.4 −8.7 Stability test Matrix Condition Quality control samples OXC HOXC % RE Bench-top Plasma After 6 h at RT LQC −9.5 −5.5 HQC −7.2 −6.7 Bench-top Whole blood After 2 h at RT LQC 0.3 −1.1 HQC −1.0 −1.8 Freeze/thaw Plasma After five cycles LQC −11.3 −1.5 HQC −9.1 −6.7 Long-term frozen Plasma After 181 days at −20°C LQC −13.1 2.6 HQC −7.0 −3.2 Processed Plasma After 70 h at 4°C LQC −6.8 −6.3 HQC −5.4 −8.7 HQC, quality control at high concentration; LQC, quality control at low concentration; RT, room temperature. Table V. Stability of Oxcarbazepine (OXC) and 10, 11-Dihydro-10-Hydroxycarbamazepine (HOXC) in Human Plasma and Whole Blood Stability test Matrix Condition Quality control samples OXC HOXC % RE Bench-top Plasma After 6 h at RT LQC −9.5 −5.5 HQC −7.2 −6.7 Bench-top Whole blood After 2 h at RT LQC 0.3 −1.1 HQC −1.0 −1.8 Freeze/thaw Plasma After five cycles LQC −11.3 −1.5 HQC −9.1 −6.7 Long-term frozen Plasma After 181 days at −20°C LQC −13.1 2.6 HQC −7.0 −3.2 Processed Plasma After 70 h at 4°C LQC −6.8 −6.3 HQC −5.4 −8.7 Stability test Matrix Condition Quality control samples OXC HOXC % RE Bench-top Plasma After 6 h at RT LQC −9.5 −5.5 HQC −7.2 −6.7 Bench-top Whole blood After 2 h at RT LQC 0.3 −1.1 HQC −1.0 −1.8 Freeze/thaw Plasma After five cycles LQC −11.3 −1.5 HQC −9.1 −6.7 Long-term frozen Plasma After 181 days at −20°C LQC −13.1 2.6 HQC −7.0 −3.2 Processed Plasma After 70 h at 4°C LQC −6.8 −6.3 HQC −5.4 −8.7 HQC, quality control at high concentration; LQC, quality control at low concentration; RT, room temperature. Clinical application Plasma concentrations of OXC and HOXC were determined in a clinical study, where the standard treatment by OXC was processed with or without perampanel for patients with refractory partial onset seizures. Typical plasma concentrations of OXC and HOXC in a subject who received 900 mg daily oral dose (450 mg b.i.d) are represented in Figure 3. Plasma concentration levels of HOXC were much higher than those of OXC and the concentration ratio of HOXC to OXC was similar to the previous papers (4, 5, 16). Figure 3. View largeDownload slide Plasma concentrations of oxcarbazepine (open circle; OXC) and 10, 11-dihydro-10-hydroxycarbamazepine (closed circle; HOXC) in a subject with refractory partial onset seizures who received oral dose of OXC (450 mg b.i.d.) Figure 3. View largeDownload slide Plasma concentrations of oxcarbazepine (open circle; OXC) and 10, 11-dihydro-10-hydroxycarbamazepine (closed circle; HOXC) in a subject with refractory partial onset seizures who received oral dose of OXC (450 mg b.i.d.) Discussion Method development An assay method for the simultaneous determination of OXC and HOXC in human plasma has been developed based on a previously developed bioanalytical method of OXC in human plasma. In the OXC assay, OXC was eluted at the retention time of 4.4 min on Cadenza CD-C18 (75 × 3.0 mm i.d., 3 μm) at a flow rate of 0.4 mL/min, where gradient elution was employed using mobile phases (A) 0.1% formic acid and (B) acetonitrile. The total run time was 6.0 min in the OXC assay, thus to shorten the run time despite the additional analyte, HOXC, HPLC conditions were modified and optimized in the present assay (see the optimized conditions in Experimental). A clear baseline peak separation was achieved for OXC and HOXC along with sharp peaks using the optimized conditions. A shortened run time may contribute in higher sample throughput which is important from bioanalytical perspective to support clinical trials, where a large number of samples are to be assayed in a short timeframe. This assay method utilized a simple protein precipitation for the extraction of the analytes, while previously reported methods used solid phase extraction (6, 10, 11), or liquid–liquid extraction by methyl tert-butyl ether (5) or diethyl ether (8), which would be more labor intensive than protein precipitation. Simpler extraction methods such as protein precipitation may sometimes cause matrix effects issues, however, in the present study, no matrix effects were noted using a stable isotope labeled IS. Although it is ideal to use two stable isotopes for OXC and HOXC, stable isotope of HOXC was not available at the moment, thus the stable isotope of OXC was used for the assay of HOXC as well. Data of the method validation parameters including linearity, reproducibility, extraction recovery and matrix effects in this study clearly demonstrate that the IS works well for HOXC assay along with OXC assay. The full-scan spectrum of the precursor ion of the analytes produced the most abundant protonated molecules at m/z 253.1 and 255.1 for OXC and HOXC, respectively. The product ion spectrum provided the highest signals at m/z 180.1 for OXC and 194.1 for HOXC (Figure 4). In the mass transition of HOXC, a less sensitive transition m/z 255.1 → 192.2 was selected given that plasma levels of HOXC were much higher than those of OXC in the simultaneous assay method supporting clinical trials. Figure 4. View largeDownload slide Representative product ion spectrum of oxcarbazepine (A) and 10, 11-dihydro-10-hydroxycarbamazepine (B) at precursor ions m/z 253.1 and 255.1, respectively. Figure 4. View largeDownload slide Representative product ion spectrum of oxcarbazepine (A) and 10, 11-dihydro-10-hydroxycarbamazepine (B) at precursor ions m/z 253.1 and 255.1, respectively. Method validation and clinical application In terms of response function of calibration curve, the bioanalytical guidelines by European Medicines Agency and US Food and Drug Administration suggest that a simple model that adequately describes the concentration–response relationship should be used, implying that the other regression than linear one can be used with justification. In the present study, although linear regression was used for the assay of OXC, quadratic regression was used for the assay of HOXC. In the HOXC assay, linear regression was not selected as the optimal regression since RE value of some samples was out of the criteria in some assay runs, while quadratic regression with a weighting factor of 1/concentration2 was able to produce the best fit throughout the assay runs. In addition, linearity evaluation revealed that back calculated data at higher calibration HOXC samples (e.g., 40,000 and 50,000 ng/mL) gave negative bias in every assay run when the linear regression was used. Given that random bias even at higher concentrations in the case of quadratic regression and potential signal saturation of HOXC at higher concentrations due to 5-time higher calibration sample concentrations of HOXC, it was rational to use quadratic regression for the HOXC assay in this 2-in-1 assay. The previous reports used quadratic regression (8) and linear regression (6, 9) for the OXC assay. In the assay of HOXC, both quadratic regression (8) and linear regression (6, 9) were used. As a validation study parameter, potential cross-analytes inter-conversion was assessed in this study and results demonstrated that there was no inter-conversion which may impact the assay of both OXC and HOXC. To the best of our knowledge, no reports have been available in which cross-analytes inter-conversions between OXC and HOXC were assessed. It is important to assess cross-analytes inter-conversions for accurate determination of more than one analyte especially when large differences in concentrations are expected as in the case of OXC and HOXC. A slight inter-conversion of one analyte with higher concentration levels to the other(s) may significantly impact assay of the other analyte with lower levels. Bench-top stability data of OXC in plasma was not ensured for 24 h at both low (% RE: −20.1) and high (% RE: −17.1) concentrations although stability was ensured up to 6 h at room temperature (Table V). It was reported that OXC in human plasma was stable up to 7 h at room temperature (8) and 24 h at 4°C (9). Although reasons or mechanism of instability of OXC in human plasma at room temperature remains to be investigated, it is recommended to store plasma samples at 4°C when sample processing times would take more than 6 h. Validation parameters of the established method assessed in this study supported that the method was robust and reproducible, thus the method was applied to the simultaneous determination of OXC and HOXC in human plasma to support a clinical trial. Plasma levels of HOXC were much higher than those of OXC in a subject, which was also the case in other subjects as well. The finding of higher HOXC levels observed in this study was also supported by previous reports; The AUC ratio of HOXC to OXC was 29.2–37.2 (6), 32.3 (16), 44.8 (2) and 48.8 (5). Conclusions The established LC–MS-MS method for the simultaneous determination of OXC and HOXC concentrations in human plasma has been validated and found to be simple and reproducible. The developed bioanalytical method has been successfully applied to pharmacokinetic sample assay in order to support a clinical trial. Acknowledgments The author acknowledges that Frontage Inc (Shanghai, China) conducted the method validation and assayed clinical pharmacokinetic samples. The author also thanks Jagadeesh Aluri (Eisai Inc) for language editorial assistance with this article. References 1 Kalis , M.M. , Huff , N.A. ; Oxcarbazepine, an antiepileptic agent ; Clinical Therapeutics , ( 2001 ); 23 : 680 – 700 . Google Scholar CrossRef Search ADS PubMed 2 Flesch , G. ; Overview of the clinical pharmacokinetics of oxcarbazepine ; Clinical Drug Investigation , ( 2004 ); 24 : 185 – 203 . 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Separation of Four Flavonol Glycosides from Solanum rostratum Dunal Using Solvent Sublation Followed by HSCCC and Low Column Temperature Preparative HPLC

2018 Journal of Chromatographic Science

doi: 10.1093/chromsci/bmy044pmid: 29771292

Abstract Hyperoside, 3′-O-methylquercetin 3-O-β-D-galactopyranoside, astragalin and 3′-O-methylquercetin 3-O-β-D-glucopyranoside from an invasive weed Solanum rostratum Dunal were separated and purified successfully by high-speed counter-current chromatography (HSCCC) with a solvent system composed of n-hexane-ethyl acetate–methanol–water (1:7:1:7, v/v) and gradient elution mode preparative high-performance liquid chromatography (prep-HPLC) with low column temperature. In the sample pretreatment section, target compounds in aqueous extract of the weed were concentrated using solvent sublation. Two target fractions with purities of 93.75% and 93.68% were obtained from HSCCC. Their chemical structures were identified. The fraction 1 is a pure compound hyperoside and the fraction 2 is the mixture of astragalin, 3′-O-methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-glucopyranoside by nuclear magnetic resonance and liquid chromatography-mass spectra. Then, the three flavonol glycosides in the fraction 2 were separated and purified successfully by prep-HPLC with low column temperature. Introduction High-speed counter-current chromatography (HSCCC), being a support-free liquid–liquid partition method (1), eliminates irreversible adsorption of sample onto the solid support (2), and has been widely used in preparative separation of active compounds from traditional Chinese herbs and other natural products (3–5). Solvent sublation (SS) is a kind of adsorptive bubble separation technique (6) in which many water-soluble active compounds with surface-activity can be adsorbed on the bubble surface and then collected in organic phase. Therefore, this technique can effectively separate and concentrate the water-soluble compounds. Preparative high-performance liquid chromatography (prep-HPLC) is easy to be used for separation of compounds because of its high separation efficiency and recovery (7). So, it can be used in the last procedure to separate the mixture which has not been separated completely (8, 9). Solanum rostratum Dunal, a newly invasive weed species in China, seriously breaks the ecological balance in the invasive areas because it inhibits and excludes native plants by releasing allelochemicals (10). In addition, this invasive weed also severely affects agricultural and animal husbandry production due to its extensive infestation in agricultural fields and grasslands (11, 12). It is worth mentioning that there are quantities of useful substances in this weed. For example, methylprotodioscin, a kind of cytotoxin found in this weed (13), was toxic to cancerous cells (14), so it can be used for the treatment of people with cancer. These researches provide a new way to develop and utilize the S. rostratum Dunal instead of destroy it. Therefore, it is significative to discover more active substances from the invasive weed for resource utilization. The objective of the present paper is to separate and purify flavonoids from S. rostratum Dunal by HSCCC combined with low column temperature prep-HPLC. The active compounds in aqueous S. rostratum Dunal extract were separated and concentrated by SS. Then, hyperoside, astragalin, 3′-O-methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-glucopyranoside with high purity were obtained after further separation and purification using HSCCC and low column temperature prep-HPLC from flotation product. Experimental Chemicals and reagents Solanum rostratum Dunal plant was supplied by the Chinese Academy of Agricultural Sciences. Phosphoric acid was purchased from Yili Fine Chemicals Co., Ltd (Beijing, China). Methanol, acetonitrile and trifluoroacetic acid used as mobile phase for HPLC analysis and prep-HPLC purification were all of chromatography grade (J&K, China). Ammonium sulfate, isopropanol, hydrochloric acid and sodium hydroxide used for SS and n-hexane, ethyl acetate and methanol used for HSCCC were all of analytical grade and purchased from Beijing Chemical Reagent Factory (Beijing, China). Apparatus The SS apparatus is similar to the one mentioned in the previous papers (15). An AB204-N electronic balance (Mettler, Switzerland) and a Mettler Toledo 320-S pH meter (Mettler, Switzerland) were used. Semi-preparative HSCCC was performed using a Model GS10A multilayer coil planet centrifuge (Beijing Institute of New Technology Application, Beijing, China) equipped with a polytetrafluoroethylene multilayer coil of 110 m × 1.6 mm I.D. with a total capacity of 240 mL. The β value of the preparative column ranged from 0.5 to 0.8 (β = r/R, where r is the distance from the holder shaft to the coil and R is the distance between the holder axis and central axis of the planet centrifuge or the rotation radius). The solvent was pumped into the column with a Model NS-1007 constant-flow pump (Beijing Institute of New Technology Application, Beijing, China). Continuous monitoring of the effluent was achieved with a Model 8823A-UV Monitor (Beijing Institute of New Technology Application, Beijing, China) at 254 nm. A manual sample injection valve with a 10-mL loop (for the preparative HSCCC) was used to introduce the sample into the column. A portable recorder Yokogawa Model 3,057 (Sichuan Instrument Factory, Chongqing, China) was used to plot the chromatogram. A rotary evaporator was also used. Prep-HPLC was performed using a FLEXA Purification System (Agela, China) with an YMC-Pack ODS-A column (250 mm × 20 mm I.D., 5 μm, YMC, Japan) to separate and purify the mixture from HSCCC. And the products from prep-HPLC were analyzed by analytical HPLC with an Inertsil ODS-3 column (250 mm × 4.6 mm I.D., 5 μm). A Shimadzu LC-20AT chromatograph system (Shimadzu, Japan) was used to analyze the aqueous extract, the flotation products and the purification products from HSCCC. Identification of purified products was carried out by LCMS-IT-TOF and 1H NMR, 13C NMR spectra. LCMS-IT-TOF was performed using a Shimadzu (Kyoto, Japan) HPLC system consisting of a solvent delivery pump (LC-20AD), an auto-sampler (SIL-20AC), a DGU-20A3 degasser, a photodiode array detector (SPD-M20A), a communication base module (CBM-20A), a column oven (CTO-20A), an Inertsil ODS-SP column (150 × 4.6 mm I.D., 5 μm), and a hybrid ion trap/time-of-flight instrument (Shimadzu Corp., Kyoto, Japan) equipped with an ESI source. NMR spectra were performed in DMSO-d6 and CD3COCD3 using a Bruker high-resolution AV400NMR spectrometer (Bruker Biospin Corporation, USA). Preparation of extract of Solanum rostratum Dunal using SS for HSCCC Dried powder of S. rostratum Dunal (60.0 g) was extracted twice, each with 1,000 mL of pure water for 90 min by water reflux method. The residue was filtrated and washed with 200 mL of pure water. The HPLC chromatograms (Figure 1) of the S. rostratum Dunal extract showed that the retention time of fraction 1 was about 20.8 min and fraction 2 was 23.0 min. Subsequently, ammonium sulfate was added into the combined extracts, and the aqueous solution was used for the separation and concentration of SS. In order to prepare accurately the aqueous ammonium sulfate solution, the classical relationship equation (16) between the mass concentration of ammonium sulfate and the volume concentration was applied. The initial volume of aqueous solution in the flotation column was 400 mL. Figure 1. View largeDownload slide HPLC chromatogram of the Solanum rostratum Dunal extract and structural formula of target compounds. Chromatographic conditions: an Apollo C18 column (150 × 4.6 mm I.D., 5 μm), methanol (A) and 0.5% aqueous phosphoric acid (B) as mobile phase, the flow rate was 1.0 mL/min with a gradient elution of 20–100% A from 0 to 40 min, the detection wavelength was 254 nm and temperature of column oven was 30°C. Figure 1. View largeDownload slide HPLC chromatogram of the Solanum rostratum Dunal extract and structural formula of target compounds. Chromatographic conditions: an Apollo C18 column (150 × 4.6 mm I.D., 5 μm), methanol (A) and 0.5% aqueous phosphoric acid (B) as mobile phase, the flow rate was 1.0 mL/min with a gradient elution of 20–100% A from 0 to 40 min, the detection wavelength was 254 nm and temperature of column oven was 30°C. The parameters of SS, such as sublation solvent, solution pH, (NH4)2SO4 concentration in aqueous solution, nitrogen flow rate, flotation time, the volume of sublation solvent and repeat times can greatly influence the recovery of target compounds. In this paper, the parameters mentioned above were studied in this order by single factor experiment, and the specific process was the same as that reported in the previous study (15, 16). All the SS experiments were performed at room temperature. During the SS procedure, target compounds can be effectively separated and concentrated from the aqueous extract to the upper phase. Then the flotation product was concentrated to dryness under reduced pressure and then used for subsequent HSCCC isolation. Preparation of two-phase solvent system and sample solution The solvent system is essential to the separation process in HSCCC. An appropriate solvent system should satisfy the following requirements: it can dissolve the sample well and will not cause decomposition or denaturation of the sample; it can form stable two-phase solvent system and have a good retention of stationary phase; the partition coefficient (K) of the target components in it should be between 0.2 and 5 (17). The K value was determined by HPLC as follows: suitable amount of crude extract was dissolved in 2 mL of each phase of the pre-equilibrated two-phase solvent system with violent shaken in order to reach a thorough equilibrium at room temperature. After 3 h standing, 1 mL of each phase was taken out and evaporated to dryness. The residues were dissolved with 1 mL methanol and then analyzed by HPLC. The K value was calculated as the peak area of the target compound in the upper phase divided by the peak area of the target compound in the lower phase. The two-phase solvent system utilized in the present study was prepared by mixing n-hexane-ethyl acetate–methanol–water (1:5:1:5, 1:6:1:6, 1:7:1:7, v/v) in a separatory funnel. Then, the separatory funnel was shaked violently at room temperature to make the two-phase system thoroughly equilibrated. The upper phase and the lower phase were separated and degassed by ultrasonic for 30 min shortly before use. The sample solutions were prepared by dissolving the extract obtained in section 2.3 in 5.0 mL upper phase and 5.0 mL lower phase. Separation procedure for HSCCC In separation procedure, the multilayer coiled column was entirely filled with the upper phase as the stationary phase at first. Then the lower phase as mobile phase was pumped into the head end of the column at a flow rate of 2.0 mL/min, while the apparatus was rotated at 800 rpm. After a clear mobile phase eluted at the tail outlet, which means hydrodynamic equilibrium was established, the sample solution was injected through the sample port. A UV detector was used to monitor the effluent from the tail end of the column continuously at 254 nm. Each peak fraction was collected according to the chromatogram. The retention of the stationary phase was calculated from the volume of the stationary phase collected from the column before the sample was injected. Further separation for prep-HPLC The fraction 2 from HSCCC was dried with rotary evaporator with the temperature of 55°C, and it was dissolved by methanol and water (7:4, v/v). A YMC-Pack ODS-A column (250 mm × 20 mm I.D., 5 μm) was used for the separation procedure. The mobile phase was composed of acetonitrile (A) and water including 0.0125% trifluoroacetic acid (B), and a gradient elution of 14–21% A at 0–100 min was used with the detection wavelength of 254 nm. The flow rate was 8.0 mL/min and the injection volume was 0.5 mL. The prep-HPLC experiments were performed at 10°C temperature approximately. HPLC analysis The analytical HPLC was used to analyze the aqueous extract, the flotation product and the purification product from HSCCC with an Apollo C18 column (150 × 4.6 mm I.D., 5 μm). In the HPLC analysis, the mobile phase was composed of methanol (A) and 0.5% aqueous phosphoric acid (B). The flow rate was 1.0 mL/min with a gradient elution of 20–100% A at 0–40 min. The detection wavelength was 254 nm and the injection volume was 10 μL. It is important to note that the aqueous extracts and the flotation products should be diluted with methanol (1–2 mL), and desalted with centrifuge at 2,500 rpm for 10 min. The temperature of all the HPLC analytical experiments was 30°C. Each effluent from prep-HPLC was analyzed by HPLC with an Inertsil ODS-3 column (250 mm × 4.6 mm I.D., 5 μm), and the purity was obtained with the method of area normalization. It is noted that the constituent of the mobile phase used in this section is the same as that of the mobile phase used in prep-HPLC, while the gradient elution changed to 14% A at 0–10 min, 14–19% A at 10–40 min, 19–20.5% A at 40–90 min. The temperature of column oven is 10°C. Results The condition of SS was listed as follows: isopropanol as the sublation solvent, pH 3, 350 g/L of ammonium sulfate concentration in aqueous phase, 40 mL/min of nitrogen flow rate, 30 min of flotation time, and 10.0 mL of flotation solvent volume. After 30 min of flotation time, 10.0 mL of isopropanol was transferred from the top of the flotation column to a 50-mL conical flask, then additional 10.0 mL of isopropanol was added in the top of the flotation column, and the flotation procedure was kept 30 min again in the same condition. In this condition, the recovery of fraction 1 and fraction 2 was 90.51% and 92.07%, respectively. With a two-phase solvent system composed of n-hexane-ethyl acetate–methanol–water (1:7:1:7, v/v), the purity of fraction 1 and fraction 2 separated by HSCCC were 93.75% and 93.68%, respectively, according to the HPLC analysis. The structural identification of the two fractions obtained from HSCCC was confirmed by LCMS-IT-TOF, 13C NMR and 1H NMR analysis. The fraction 1 was a pure compound hyperoside. LCMS-IT-TOF: m/z 463.1 [M−H]−, m/z 465.1 [M+H]+, MS2 yielded ions m/z 301.1 ([M−H−-162], loss of glucose or galactose). 13 C NMR (DMSO-d6, 400 MHz): 177.4 (C-4), 164.4 (C-7), 161.1 (C-5), 156.3 (C-2), 156.2 (C-9), 133.4 (C-3), 103.8 (C-10), 98.7 (C-6), 93.5 (C-8), 148.5 (C-4′), 144.8 (C-3′), 121.9 (C-6′), 121.0 (C-1′), 115.9 (C-5′), 115.2 (C-2′), 101.8 (C-1″), 75.8 (C-5″), 73.2 (C-3″), 71.2 (C-2″), 67.9 (C-4″), 60.1 (C-6″). 1 H NMR (CD3COCD3, 400 MHz): δ ppm 12.39 (1 H, s, 5-OH), 8.04 (1 H, d, J = 2.1 Hz, H-2′), 7.65 (1 H, dd, J = 2.3 Hz, 8.6 Hz, H-6′), 6.95 (1 H, d, J = 8.4 Hz, H-5′), 6.55 (1 H, d, J = 1.9 Hz, H-8), 6.31 (1 H, d, J = 2.1 Hz, H-6), 5.19 (1 H, d, J = 1.9 Hz, H-1″), 3.93∼3.60 (6 H, H-2″∼H-6″, m). The peaks assigned in 1H NMR and 13C NMR corresponded to the reported literature (18). Fraction 2: LCMS-IT-TOF: m/z 447.1 and 477.1 [M−H],−MS2 yielded ions m/z 285.0 and 314.0 ([M−H]−-162, loss of glucose or galactose). Seen from the 1H NMR analysis of fraction 2, there were three single peaks near δppm 12.48. So, the fraction 2 was the mixture of three compounds. The proportion of compound 2–1, compound 2–2 and compound 2–3 was 1:1:0.5 in the fraction 2. Then the fraction 2 was further separated by prep-HPLC, astragalin, 3′-O-methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-Glucopyranoside were collected and identified by 1H NMR and 13C NMR again. The three compounds were obtained with the purity of 96.7%, 95.3% and 99.9%, respectively, and their NMR data were as follows. Astragalin (compound 2–1): 13C NMR (DMSO-d6, 400 MHz): 177.3 (C-4), 164.8 (C-7), 161.1 (C-5), 156.1 (C-2), 156.1 (C-9), 130.8 (C-3), 103.7 (C-10), 98.9 (C-6), 93.8 (C-8), 159.9 (C-4′), 130.8 (C-2′), 130.8 (C-6′), 120.9 (C-1′), 115.1 (C-3′), 115.1 (C-5′), 101.6 (C-1″), 77.5 (C-5″), 76.4 (C-3″), 74.3 (C-2″), 69.8 (C-4″), 60.8 (C-6″). 1H NMR (CD3COCD3, 400 MHz): δ ppm 8.16 (1 H, d, J = 8.92 Hz, H-2′), 8.16 (1 H, d, J = 8.92 Hz, H-6′), 6.99 (1 H, d, J = 8.56 Hz, H-3′), 7.00 (1 H, d, J = 8.84 Hz, H-5′), 6.56 (1 H, d, J = 2.04 Hz, H-8), 6.31 (1 H, d, J = 2.20 Hz, H-6), 5.27 (1 H, d, J = 7.36 Hz, H-1″), 3.55∼3.27 (6 H, H-2″∼H-6″, m). The peaks assigned in 1H NMR and 13C NMR corresponded to the reported literature (19). 3′-O-Methylquercetin 3-O-β-D-galactopyranoside (compound 2–2): 13C NMR (DMSO-d6, 400 MHz): 177.3 (C-4), 164.8 (C-7), 161.1 (C-5), 156.4 (C-2), 156.4 (C-9), 133.1 (C-3), 103.7 (C-10), 100.9 (C-6), 93.8 (C-8), 149.4 (C-3′), 147.0 (C-4′), 121.8 (C-6′), 121.0 (C-1′), 115.1 (C-5′), 113.5 (C-2′), 101.6 (C-1″), 75.9 (C-5″), 73.0 (C-3″), 71.2 (C-2″), 67.9 (C-4″), 60.2 (C-6″), 55.9 (OCH3). 1H NMR (CD3COCD3, 400 MHz): δ ppm 8.23 (1 H, d, J = 2.04 Hz, H-2′), 7.63 (1 H, dd, J = 2.04 Hz, 8.44 Hz, H-6′), 6.98 (1 H, d, J = 8.44 Hz, H-5′), 6.31 (1 H, d, J = 2.20 Hz, H-8), 5.46 (1 H, d, J = 8.00 Hz, H-1′), 3.97 (1 H, s, OCH3), 3.96∼3.57 (6 H, H-2″∼H-6″, m). The peaks assigned in 1H NMR and 13C NMR corresponded to the reported literature (20). 3′-O-Methylquercetin 3-O-β-D-glucopyranoside (compound 2–3): 13C NMR (DMSO-d6, 400 MHz): 164.9 (C-7), 161.1 (C-5), 133.0 (C-3), 100.8 (C-6), 149.4 (C-3′), 146.9 (C-4′), 122.0 (C-6′), 121.0 (C-1′), 101.6 (C-1″), 77.4 (C-5″), 69.7 (C-4″), 55.6 (OCH3). 1H NMR (CD3COCD3, 400 MHz): δ ppm 8.08 (1 H, d, J = 1.92 Hz, H-2′), 7.69 (1 H, dd, J = 2.08 Hz, 8.48 Hz, H-6′), 6.98 (1 H, d, J = 8.44 Hz, H-5′), 6.31 (1 H, d, J = 2.20 Hz, H-8), 5.46 (1 H, d, J = 8.00 Hz, H-1′), 3.97 (1 H, s, OCH3), 3.55∼3.27 (6 H, H-2″∼H-6″, m). The peaks assigned in 13C NMR and 1H NMR corresponded to the reported literature (20). Discussion Selection of sublation solvent and other conditions of SS procedure Seen from the HPLC and UV result of the aqueous extract, the target compounds might be flavonol glycosides. According to our previous report (15), polyethylene glycol (PEG) was a better choice as the sublation solvent for flavonol glycosides, while the alcohols with low molecular weight such as isopropanol, n-propanol, n-butanol took the second place. However, the viscosity and boiling point of PEG were higher, so the PEG is difficult to move out from the target compounds. For this reason, the alcohols with low molecular weight, especially isopropanol was more suitable because of its lower viscosity and boiling point. Other conditions such as solution pH, (NH4)2SO4 concentration in aqueous solution, N2 flow rate and flotation time on the recovery were adjusted only a little on the original basis of our previous work (15). Partition coefficients and HSCCC purification For the selection of the phase system and the optimization of the HSCCC purification, the ternary solvent system ethyl acetate–n-butanol–water (5:2:5, 5:4:5, v/v) was firstly tried according to the selection principle expounded by Ito (21) for flavonol glycosides. However, the ternary system could not separate the target compounds well (shown in Supplementary Figures 1S and 2S), and there was not any fraction with high purity collected from HSCCC because the polarity of ethyl acetate–n-butanol–water might be a little high, so quaternary solvent system with weaker polarity such as n-hexane–ethyl acetate–methanol–water (1:5:1:5, 1:6:1:6 and 1:7:1:7, v/v) were selected subsequently. The measured K values were listed in Table I. The result showed that the three solvent systems were all suitable for the separation of target compounds. In order to choose an optimal system, target compounds were separated and purified by HSCCC using three solvent systems (n-hexane–ethyl acetate–methanol–water: 1:5:1:5, 1:6:1:6, and 1:7:1:7, v/v) successively, and the retention ratios of stationary phase in each system were reached 51.36%, 52.27% and 53.18%, respectively. The results are shown in Figure 2. Compared with these three solvent systems, the purities of final products (fraction 1 and fraction 2) were 96.42% and 88.37% using 1:6:1:6, and 93.75% and 93.68% using 1:7:1:7, respectively, which were better than that using 1:5:1:5. The purity of fraction 2 (88.37%) using 1:6:1:6 was lower than that using 1:7:1:7 (93.68%). So, solvent system 1:7:1:7 was the most suitable for the purification of the flavonol glycosides by HSCCC. Table I. The Partition Coefficient (K) of the Flavonol Glycosides Solvent system Fraction 1 Fraction 2 n-Hexane–ethyl acetate–methanol–water (1:5:1:5, v/v) 1.509 2.102 n-Hexane–ethyl acetate–methanol–water (1:6:1:6, v/v) 1.514 2.157 n-Hexane–ethyl acetate–methanol–water (1:7:1:7, v/v) 1.532 2.201 Solvent system Fraction 1 Fraction 2 n-Hexane–ethyl acetate–methanol–water (1:5:1:5, v/v) 1.509 2.102 n-Hexane–ethyl acetate–methanol–water (1:6:1:6, v/v) 1.514 2.157 n-Hexane–ethyl acetate–methanol–water (1:7:1:7, v/v) 1.532 2.201 Table I. The Partition Coefficient (K) of the Flavonol Glycosides Solvent system Fraction 1 Fraction 2 n-Hexane–ethyl acetate–methanol–water (1:5:1:5, v/v) 1.509 2.102 n-Hexane–ethyl acetate–methanol–water (1:6:1:6, v/v) 1.514 2.157 n-Hexane–ethyl acetate–methanol–water (1:7:1:7, v/v) 1.532 2.201 Solvent system Fraction 1 Fraction 2 n-Hexane–ethyl acetate–methanol–water (1:5:1:5, v/v) 1.509 2.102 n-Hexane–ethyl acetate–methanol–water (1:6:1:6, v/v) 1.514 2.157 n-Hexane–ethyl acetate–methanol–water (1:7:1:7, v/v) 1.532 2.201 Figure 2. View largeDownload slide HSCCC chromatograms of optimization suitable solvent systems for separation of the target compounds from the Solanum rostratum Dunal extract. Solvent system: A. n-hexane–ethyl acetate–methanol–water (1:5:1:5, v/v); B. n-hexane–ethyl acetate–methanol–water (1:6:1:6, v/v); C. n-hexane–ethyl acetate–methanol–water (1:7:1:7, v/v). Figure 2. View largeDownload slide HSCCC chromatograms of optimization suitable solvent systems for separation of the target compounds from the Solanum rostratum Dunal extract. Solvent system: A. n-hexane–ethyl acetate–methanol–water (1:5:1:5, v/v); B. n-hexane–ethyl acetate–methanol–water (1:6:1:6, v/v); C. n-hexane–ethyl acetate–methanol–water (1:7:1:7, v/v). Further separation of target compounds by prep-HPLC In order to separate the three compounds from the fraction 2, different mobile phases, such as methanol water with 0.5% aqueous phosphoric acid, acetonitrile water with 0.05% trifluoroacetic acid were used with different gradient. However, the three compounds still could not be separated. Considering the temperature is also an significant parameter for enhancing resolution in HPLC systems especially for separating solutes with subtle differences in their morphology (22, 23), we tried to change column temperature to make the three compounds in fraction 2 separate well. The separation procedure is shown in Figure 3. When the temperature was reduced to 10°C, there was a great tendency to be separated of the three compounds in fraction 2 (seen from Figure 3A and B). The reason might be the low temperature affected the K values of these compounds differently and sharply. And then they were finally separated well by the adjustment of the gradient (seen from Figure 3C), furthermore, it could be used to analyze the subsequent elute from prep-HPLC qualitatively. As shown in Figure 4, fraction 2–1, 2–2 and 2–3, which represent astragalin, 3′-O-Methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-glucopyranoside, respectively, were separated well, and three individual peaks were collected and identified by 1H NMR and 13C NMR. According to the HPLC analysis (shown in Figure 4), the purities of astragalin, 3′-O-methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-glucopyranoside were reached to 96.7, 95.3 and 99.9%, respectively. Figure 3. View largeDownload slide Preparative HPLC chromatogram of three compounds (2, 3) in fraction 2. Chromatographic conditions: an Inertsil ODS-3 column (250 mm × 4.6 mm I.D., 5 μm), acetonitrile and water including 0.0125% trifluoroacetic acid as mobile phase, the flow rate was 1.0 mL/min, the detection wavelength was 254 nm and temperature of column oven was 10°C. The gradient condition: A(a), 15–19% acetonitrile at 0–40 min, 19–23% acetonitrile at 40–80 min; B(a), 15–19% acetonitrile at 0–40 min, 19–21.5% acetonitrile at 40–80 min; C(a), 14% acetonitrile at 0–10 min, 14–19% acetonitrile at 10–40 min, 19–20.5% acetonitrile at 40–90 min. A(b), B(b) and C(b) were the partial enlarged view of A(a), B(a) and C(a), respectively. Figure 3. View largeDownload slide Preparative HPLC chromatogram of three compounds (2, 3) in fraction 2. Chromatographic conditions: an Inertsil ODS-3 column (250 mm × 4.6 mm I.D., 5 μm), acetonitrile and water including 0.0125% trifluoroacetic acid as mobile phase, the flow rate was 1.0 mL/min, the detection wavelength was 254 nm and temperature of column oven was 10°C. The gradient condition: A(a), 15–19% acetonitrile at 0–40 min, 19–23% acetonitrile at 40–80 min; B(a), 15–19% acetonitrile at 0–40 min, 19–21.5% acetonitrile at 40–80 min; C(a), 14% acetonitrile at 0–10 min, 14–19% acetonitrile at 10–40 min, 19–20.5% acetonitrile at 40–90 min. A(b), B(b) and C(b) were the partial enlarged view of A(a), B(a) and C(a), respectively. Figure 4. View largeDownload slide Prep-HPLC chromatograms of astragalin (2–1), 3′-O-methylquercetin 3-O-β-D-galactopyranoside (2) and 3′-O-methylquercetin 3-O-β-D-glucopyranoside (2, 3). Chromatographic conditions: a YMC-Pack ODS-A column (250 mm × 20 mm I.D.,5 μm), acetonitrile (A) and water including 0.0125% trifluoroacetic acid (B) as mobile phase, the flow rate was 8.0 mL/min with a gradient elution of 14–21% A at 0–100 min, the detection wavelength was 254 nm and temperature was 10°C, the analytical HPLC conditions were same as those in Figure 3. Insets: The HPLC chromatogram of fraction 2–1, 2–2 and 2–3 from prep-HPLC, respectively. Figure 4. View largeDownload slide Prep-HPLC chromatograms of astragalin (2–1), 3′-O-methylquercetin 3-O-β-D-galactopyranoside (2) and 3′-O-methylquercetin 3-O-β-D-glucopyranoside (2, 3). Chromatographic conditions: a YMC-Pack ODS-A column (250 mm × 20 mm I.D.,5 μm), acetonitrile (A) and water including 0.0125% trifluoroacetic acid (B) as mobile phase, the flow rate was 8.0 mL/min with a gradient elution of 14–21% A at 0–100 min, the detection wavelength was 254 nm and temperature was 10°C, the analytical HPLC conditions were same as those in Figure 3. Insets: The HPLC chromatogram of fraction 2–1, 2–2 and 2–3 from prep-HPLC, respectively. Conclusions In this paper, hyperoside, astragalin, 3′-O-methylquercetin 3-O-β-D-galactopyranoside and 3′-O-methylquercetin 3-O-β-D-glucopyranoside were separated from S. rostratum Dunal extract by HSCCC with solvent system composed of n-hexane–ethyl acetate–methanol–water (1:7:1:7, v/v) and gradient elution mode prep-HPLC with low column temperature for the first time. Our study demonstrates that HSCCC combined with low column temperature prep-HPLC is a very efficient method for the preparative separation of flavonoids and bioactive compounds from S. rostratum Dunal. The identification and characterization of four flavonol glycosides were useful in the resource utilization of invasive plants. The SS-HSCCC-low column temperature prep-HPLC method for separating and concentrating active compounds from the aqueous extract of natural product provides a new way and understanding of SS-HSCCC-prep-HPLC technique. Future studies of SS-HSCCC-prep-HPLC technique will likely expand the application in separation fields of other alien plant. Supplementary data Supplementary material is available at Journal of Chromatographic Science online. Funding Financial support from the National Key Research and Development Program of China (2017YFF0207800), the National Natural Science Foundation of China (NSFC, Grant No. 81671411 and 21075007), Program for New Century Excellent Talents in University (NCET-11-0563), Beijing Nova program interdisciplinary (Z161100004916045), Special Fund for Agro-scientific Research in the Public Interest (project 200803022 and 201103027) and the Fundamental Research Funds for the Central Universities (YS1406) is gratefully acknowledged. References 1 Gutzeit , D. , Winterhalter , P. , Jerz , G. ; Application of preparative high-speed counter-current chromatography/electrospray ionization mass spectrometry for a fast screening and fractionation of polyphenols ; Journal of Chromatography. A , ( 2007 ); 1172 ( 1 ): 40 – 46 . Google Scholar CrossRef Search ADS PubMed 2 Ito , Y. ; Recent advances in counter-current chromatography ; Journal of Chromatography. A , ( 1991 ); 538 ( 1 ): 3 – 25 . 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