Application of headspace - solid phase microextraction and multivariate analysis for plant oils differentiation

被引：75

作者：

Mildner-Szkudlarz, S ^{[1
]}

Jelen, HH ^{[1
]}

Zawirska-Wojtasiak, R ^{[1
]}

Wasowicz, E ^{[1
]}

机构：

[1] Acad Agr Poznan, Inst Food Technol, PL-60624 Poznan, Poland

来源：

FOOD CHEMISTRY | 2003年 / 83卷 / 04期

关键词：

plant oils; rancidity; SPME; MVA; PCA; chemometrics;

D O I：

10.1016/S0308-8146(03)00147-X

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Application of multivariate analysis (MVA)-principal component analysis (PCA) and cluster analysis-for the analysis of chromatographic and sensory data was investigated for volatiles of plant oils. Five oils-rapeseed, soybean, peanut, sunflower and olive oil-were compared. Volatile compounds of fresh oils and oils subjected to storage at 60degreesC were isolated by HS-SPME sampling and analysed by GC/MS, and fast GC with FID detection. Based on developed methods and data treatment it was possible to distinguish between different oils and oils stored for various periods of time. PCA of chromatographic data was related to PCA sensory analysis and similarities in sample clustering were observed. Multivariate analysis facilitates comparison of chromatographic profiles of volatile compounds characteristic for various plant oils and for monitoring oil quality in storage. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：515 / 522

页数：8

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