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首页> 外文期刊>Journal of mass spectrometry: JMS >Geographical discrimination of Chinese winter wheat using volatile compound analysis by HS-SPME/GC-MS coupled with multivariate statistical analysis
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Geographical discrimination of Chinese winter wheat using volatile compound analysis by HS-SPME/GC-MS coupled with multivariate statistical analysis

机译：用HS-SPME / GC-MS与多变量统计分析使用挥发性化合物分析，使用挥发性化合物分析的地理鉴别

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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.
机译：本研究旨在根据地理来源和品种，开发潜在的分析方法，以鉴定中国冬小麦。通过具有气相色谱 - 质谱（GC-MS）的顶空固相微萃取来检查三个区域中的10个不同小麦品种的90个小麦品种。选择32个主要挥发性化合物的峰面积并进行统计分析，呈现不同地区和品种的显着差异。多变量的方差分析表明，地区，小麦基因型和它们对小麦挥发性组成的影响显着影响。芳香型材的主要成分分析显示出更好的小麦地理起源可视化。最后，成功构建了基于线性判别分析的分类模型，用于分别为90％和100％的正确分类百分比的区分和品种。

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