MIR spectroscopy and partial least-squares regression for determination of phospholipids in rapeseed oils at various stages of technological process

被引：30

作者：

Szydlowska-Czerniak, Aleksandra ^{[1
]}

机构：

[1] Nicholas Copernicus Univ, Fac Chem, PL-87100 Torun, Poland

来源：

FOOD CHEMISTRY | 2007年 / 105卷 / 03期

关键词：

phospholipids determinations; Fourier transform-mid infrared spectroscopy; partial least-square regression; rapeseed oils; QUANTITATIVE-DETERMINATION; VEGETABLE-OIL; CRUDE; PHOSPHORUS; SEPARATION; OXIDATION; HPLC;

D O I：

10.1016/j.foodchem.2007.02.038

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Fourier transform-mid infrared spectroscopy (FT-MIR) and partial least-square (PLS) regression were used for determination of phospholipids (PL) in rapeseed oils at various stages of technological process. The standard error of calibration (SEC) and the standard error of prediction (SEP) were calculated for evaluation of the calibration models. The chemometric calibration model was prepared in spectral region 1760-860 cm(-1) for standard PL solutions (1.5-120 mg/mL). Obtained mean concentrations of PL in rapeseed oils at different stages of conventional technological operations varied from 22,710 to 224.6 mg/kg. Satisfactory values of precision (RSD = 0.230.73%) and accuracy (recovery -96.1-101.9%), demonstrate the benefit of the proposed MIR-PLS method in the routine analysis of PL in vegetable oils. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1179 / 1187

页数：9

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