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Differentiation of Mint (Mentha haplocalyx Briq.) from different regions in China using gas and liquid chromatography

文献类型： 外文期刊

作者： Dong, Wenjiang 1 ; Ni, Yongnian 1 ; Kokot, Serge 3 ;

作者机构： 1.Nanchang Univ, State Key Lab Food Sci & Technol, Nanchang 330031, Peoples R China

2.Chinese Acad Trop Agr Sci, Spice & Beverage Res Inst, Wanning, Peoples R China

3.Queensland Univ Technol, Sch Chem Phys & Mech Engn, Sci & Engn Fac, Brisbane, Qld 4001, Australia

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：

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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.

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