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Moore–Penrose generalized inverse mixture design applied in low‐density dispersive liquid–liquid microextraction
Author(s) -
Bazzana Matheus Julien Ferreira,
Saczk Adelir Aparecida,
Faria Letícia Rodrigues,
Campos João Pedro,
Alves Nadja Gomes,
Borges Cleber Nogueira
Publication year - 2020
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.3275
Subject(s) - ruminant , chemistry , analyte , chromatography , extraction (chemistry) , inverse , liquid liquid , matrix (chemical analysis) , mathematics , biology , geometry , ecology , crop
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.

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