Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Moore–Penrose generalized inverse mixture design applied in low‐density dispersive liquid–liquid microextraction

Moore–Penrose generalized inverse mixture design applied in low‐density dispersive liquid–liquid... The modification in the nutritional composition of the ruminant diet causes significant alterations in the fatty acids (FAs) structure supplemented because of the action of rumen microorganisms. The modification in the FAs structure alters the role that these play in the ruminant metabolism. The Folch method is the most often used to determine fatty acids in these animals' tissues and presents certain disadvantages such as the great volume of solvent and low mass transfer from the analyte to the extracting phase. Thus, we tested the low‐density dispersive liquid–liquid microextraction (LD‐DLLME) as an alternative method to determine these substances. In this paper, a simples‐augmented mixture design was used. The Scheffé's polynomial was applied in that design, and Moore–Penrose generalized matrix inverse was used because of the possibility of concurrently determining value estimates of coefficients of the parameters that represent cubic terms. The application of the modeling allowed the chemical interpretation of the LD‐DLLME best extraction condition for linoleic acid in ruminant serum samples. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Chemometrics Wiley

Moore–Penrose generalized inverse mixture design applied in low‐density dispersive liquid–liquid microextraction

Download PDF
10 pages

Loading next page...
 
/lp/wiley/moore-penrose-generalized-inverse-mixture-design-applied-in-low-E60A0VYdU2

References (26)

Publisher
Wiley
Copyright
© 2020 John Wiley & Sons, Ltd.
ISSN
0886-9383
eISSN
1099-128X
DOI
10.1002/cem.3275
Publisher site
See Article on Publisher Site

Abstract

The modification in the nutritional composition of the ruminant diet causes significant alterations in the fatty acids (FAs) structure supplemented because of the action of rumen microorganisms. The modification in the FAs structure alters the role that these play in the ruminant metabolism. The Folch method is the most often used to determine fatty acids in these animals' tissues and presents certain disadvantages such as the great volume of solvent and low mass transfer from the analyte to the extracting phase. Thus, we tested the low‐density dispersive liquid–liquid microextraction (LD‐DLLME) as an alternative method to determine these substances. In this paper, a simples‐augmented mixture design was used. The Scheffé's polynomial was applied in that design, and Moore–Penrose generalized matrix inverse was used because of the possibility of concurrently determining value estimates of coefficients of the parameters that represent cubic terms. The application of the modeling allowed the chemical interpretation of the LD‐DLLME best extraction condition for linoleic acid in ruminant serum samples.

Journal

Journal of Chemometrics – Wiley

Published: Dec 1, 2020

Keywords: ; ; ; ;

There are no references for this article.