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Geographical discrimination of Chinese winter wheat using volatile compound analysis by HS-SPME/GC-MS coupled with multivariate statistical analysis

文献类型： 外文期刊

作者： Wadood, Syed Abdul 1 ; Guo Boli 1 ; Zhang Xiaowen 1 ; Raza, Ali 2 ; Wei Yimin 1 ;

作者机构： 1.CAAS, Inst Food Sci & Technol, Key Lab Agroprod Proc, Minist Agr & Rural, Beijing 100193, Peoples R China

2.Beijing Technol & Business Univ, Beijing Adv Innovat Ctr Food Nutr & Human Hlth, Lab Mol Sensory Sci, Beijing, Peoples R China

关键词： cultivar; geographical origin; HS-SPME; GC-MS; multivariate analysis; volatile compounds; winter wheat (Triticum aestivum)

期刊名称：JOURNAL OF MASS SPECTROMETRY （ 影响因子：1.982； 五年影响因子：2.03 ）

ISSN： 1076-5174

年卷期： 2020 年 55 卷 1 期

页码：

收录情况： SCI

摘要： This study aimed to develop a potential analytical method to discriminate the Chinese winter wheat according to geographical origin and cultivars. A total of 90 wheat samples of 10 different wheat cultivars among three regions were examined by headspace solid phase microextraction coupled with gas chromatography-mass spectrometry (GC-MS). The peak areas of 32 main volatile compounds were selected and subjected to statistical analysis, which revealed significant differences among different regions and cultivars. Multivariate analysis of variance showed a significant influence of regions, wheat genotypes, and their interaction on the volatile composition of wheat. Principal component analysis of the aromatic profile showed better visualization for wheat geographical origins. Finally, a classification model based on the linear discriminant analysis was successfully constructed for the discrimination of regions and cultivars with the correct classification percentages of 90 and 100%, respectively.

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