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J. González-Sáiz, C. Pizarro, I. Esteban-Díez, Oscar Ramírez, C. González-Navarro, M. Sáiz-Abajo, R. Itoiz (2007)
Monitoring of alcoholic fermentation of onion juice by NIR spectroscopy: valorization of worthless onions.Journal of agricultural and food chemistry, 55 8
J. Horiuchi, T. Kanno, M. Kobayashi (1999)
New vinegar production from onions.Journal of bioscience and bioengineering, 88 1
R. Tauler (1995)
Multivariate curve resolution applied to second order dataChemometrics and Intelligent Laboratory Systems, 30
Diego Garrido-Vidal, I. Esteban-Díez, N. Pérez-del-Notario, J. González-Sáiz, C. Pizarro (2004)
On-Line Monitoring of Kinetic and Sensory Parameters in Acetic Fermentation by near Infrared SpectroscopyJournal of Near Infrared Spectroscopy, 12
P. Hollman, I. Arts (2000)
Flavonols, flavones and flavanols: nature, occurrence and dietary burdenJournal of the Science of Food and Agriculture, 80
M. Keusgen, H. Rabinowitch, L. Currah (2002)
Health and alliums.
M. Hertog, P. Hollman (1996)
Potential health effects of the dietary flavonol quercetin.European journal of clinical nutrition, 50 2
S. Tosi, M. Rossi, E. Tamburini, G. Vaccari, Alberto Amaretti, D. Matteuzzi (2003)
Assessment of In‐Line Near‐Infrared Spectroscopy for Continuous Monitoring of Fermentation ProcessesBiotechnology Progress, 19
S. Vaidyanathan, S. Arnold, L. Matheson, P. Mohan, B. McNeil, L. Harvey (2001)
Assessment of near-infrared spectral information for rapid monitoring of bioprocess quality.Biotechnology and bioengineering, 74 5
A. Ferreira, Teresa Alves, J. Menezes (2005)
Monitoring complex media fermentations with near-infrared spectroscopy: comparison of different variable selection methods.Biotechnology and bioengineering, 91 4
(2005)
The European Environment: State and Outlook 2005
G. Griffiths, L. Trueman, T. Crowther, B. Thomas, Brian Smith (2002)
Onions—A global benefit to healthPhytotherapy Research, 16
M. Maeder (1987)
Evolving factor analysis for the resolution of overlapping chromatographic peaks
Y. Aguilera, E. Lorente, F. Andreu, M. Cabrejas, R. Álvarez, V. Benítez, L. González (2006)
Estudio de la utilización de subproductos de diferentes variedades de cebolla como ingredientes funcionales
A. Juan, R. Tauler (2003)
Chemometrics applied to unravel multicomponent processes and mixtures: Revisiting latest trends in multivariate resolutionAnalytica Chimica Acta, 500
J. Horiuchi, T. Kanno, M. Kobayashi (2000)
Effective onion vinegar production by a two-step fermentation system.Journal of bioscience and bioengineering, 90 3
N. Gardner, T. Savard, Paule Obermeier, Gary Caldwell, C. Champagne (2001)
Selection and characterization of mixed starter cultures for lactic acid fermentation of carrot, cabbage, beet and onion vegetable mixtures.International journal of food microbiology, 64 3
W. Windig, J. Guilment (1991)
Interactive self-modeling mixture analysisAnalytical Chemistry, 63
Y. Park, S. Jung, S. Kang, I. Park (1999)
Production of a vinegar from onion, 27
P. Gemperline, Eric Cash (2003)
Advantages of soft versus hard constraints in self-modeling curve resolution problems. Alternating least squares with penalty functions.Analytical chemistry, 75 16
M. Blanco, A. Peinado, J. Mas (2004)
Analytical monitoring of alcoholic fermentation using NIR spectroscopy.Biotechnology and bioengineering, 88 4
J. Horiuchi, K. Tada, Masayoshi Kobayashi, T. Kanno, K. Ebie (2004)
Biological approach for effective utilization of worthless onions—vinegar production and compostingResources Conservation and Recycling, 40
J. Horiuchi, N. Yamauchi, M. Osugi, Toru Kanno, Masayoshi Kobayashi, H. Kuriyama (2000)
Onion alcohol production by repeated batch process using a flocculating yeastBioresource Technology, 75
E. Malinowski (1980)
Factor Analysis in ChemistryTechnometrics, 45
Jian-hui Jiang, Yizeng Liang, Y. Ozaki (2004)
Principles and methodologies in self-modeling curve resolutionChemometrics and Intelligent Laboratory Systems, 71
M. Blanco, A. Peinado, J. Mas (2006)
Monitoring alcoholic fermentation by joint use of soft and hard modelling methodsAnalytica Chimica Acta, 556
P. Gemperline (1986)
Target transformation factor analysis with linear inequality constraints applied to spectroscopic-chromatographic dataAnalytical Chemistry, 58
R. Tauler, A. Smilde, B. Kowalski (1995)
Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolutionJournal of Chemometrics, 9
J. Roberts, D. Kidd (2005)
Lactic acid fermentation of onionsLwt - Food Science and Technology, 38
The overall purpose of the project, of which this study is a part, was to examine the feasibility of onion waste as a support‐substrate for the profitable production of food‐grade products. This study focused on the efficient production of ethanol from worthless onions by transforming the onion juice into onion liquor via alcoholic fermentation with the yeast Saccharomyces cerevisiae. The onion bioethanol produced could be later used as a favorable substrate for acetic fermentation to finally obtain onion vinegar. Near‐infrared spectroscopy (NIRS), coupled with the multivariate curve resolution‐alternating least squares (MCR‐ALS) method, has been used to reveal the compositional and spectral profiles for both substrates and products of alcoholic fermentation runs, that is, total sugars, ethanol, and biomass concentration. The ambiguity associated with the ALS calculation was resolved by applying suitable inequality and equality constraints. The quality of the results provided by the NIR‐based MCR‐ALS methodology adopted was evaluated by several performance indicators, including the variance explained by the model, the lack of fit and the agreement between the MCR‐ALS achieved solution and the results computed by applying previously validated PLS reference models. An additional fermentation run was employed to test the actual predictive ability of the ALS model developed. For all the components resolved in the fermentation system studied (i.e., total sugars, ethanol, and biomass), the final model obtained showed a high predictive ability and suitable accuracy and precision, both in calibration and external validation, confirmed by the very good agreement between the ALS responses and the reference values (the coefficient of determination was, in all cases, very close to 1, and the statistics confirmed that no significant difference was found between PLS reference models and the MCR‐ALS methodology applied). Thus, the proven reliability of the MCR‐ALS model presented in this study, based only on NIR measurements, makes it suitable for monitoring of the key species involved in the alcoholic fermentation of onion juice, allowing the process to be modeled and controlled in real time. Biotechnol. Bioeng. 2008;101: 776–787. © 2008 Wiley Periodicals, Inc.
Biotechnology and Bioengineering – Wiley
Published: Nov 1, 2008
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