数字农科院2.0

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, SA; Guo, BL; Zhang, XW; Raza, A; Wei, YM

作者机构：

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

ISSN： 1076-5174

年卷期： 2020 年 55 卷 1 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

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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