Differentiation of Mint (Mentha haplocalyx Briq.) from different regions in China using gas and liquid chromatography
文献类型: 外文期刊
第一作者: Dong, Wenjiang
作者: Dong, Wenjiang;Ni, Yongnian;Dong, Wenjiang;Kokot, Serge
作者机构:
关键词: Chemometrics;Gas chromatography;Geographical origins;High-performance liquid chromatography;Mint
期刊名称:JOURNAL OF SEPARATION SCIENCE ( 影响因子:3.645; 五年影响因子:2.943 )
ISSN:
年卷期:
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收录情况: SCI
摘要: In this study, complex substances such as Mint (Mentha haplocalyx Briq.) samples from different growing regions in China were analyzed for phenolic compounds by high-performance liquid chromatography with diode array detection and for the volatile aroma compounds by gas chromatography with mass spectrometry. Chemometrics methods, e.g. principal component analysis, back-propagation artificial neural networks, and partial least squares discriminant analysis, were applied to resolve complex chromatographic profiles of Mint samples. A total of 49 aroma components and 23 phenolic compounds were identified in 79 Mint samples. Principal component analysis score plots from gas chromatography with mass spectrometry and high-performance liquid chromatography with diode array detection data sets showed a clear distinction among Mint from three different regions in China. Classification results showed that satisfactory performance of prediction ability for back-propagation artificial neural networks and partial least squares discriminant analysis. The major compounds that contributed to the discrimination were chlorogenic acid, unknown 3, kaempherol 7-O-rutinoside, salvianolic acid L, hesperidin, diosmetin, unknown 6 and pebrellin in Mint according to regression coefficients of the partial least squares discriminant analysis model. This study indicated that the proposed strategy could provide a simple and rapid technique to distinguish clearly complex profiles from samples such as Mint.
分类号: O6
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