Aplicação do modelo de Scheffé no sistema de microextração líquido-líquido dispersiva de baixa densidade em amostra de soro de ruminantes para determinação de ácido linoléico

Abstract

This study aims to evaluate the screening of a technique for lipid extraction and esterification of linoleic acid contained in ruminant blood serum, applying the Scheffé polynomial model to determine the solvent proportions used in the Dispersive Liquid-Liquid Microextraction technique. Low Density (LDS DLLME). Toluene, methanol and aqueous solution magnesium chloride 0.017% (w/v) solvents were selected for the extraction of linoleic acid in the LDS DLLME technique. After extraction, linoleic acid was esterified and analyzed by gas chromatography with flame ionization detector (GCFID). Scheffé's polynomial model was applied to the chromatographic data and the complete cubic model (MCC) efficiently represented the chemical system information. The parameters and response surface obtained indicated that the best condition for serum linoleic acid extraction was: 20.50% (v/v) toluene, 39.75% (v/v) methanol and 39.75% (v/v) aqueous solution MgCl2 0.017% (w/v).