An integrated analysis for determining the geographical origin of medicinal herbs using ICP-AES/ICP-MS and 1H NMR analysis

被引：0
作者：
Integrated Metabolomics Research Group, Westen Seoul Center, Korea Basic Science Institute, Seoul 136-713, Korea, Republic of [1 ]
不详 [2 ]
不详 [3 ]
机构：
[1] Integrated Metabolomics Research Group, Westen Seoul Center, Korea Basic Science Institute
[2] Division of Earth and Environmental Sciences, Ochang Center, Korea Basic Science Institute, Ochang-eup, Cheonwong-gun
[3] Graduate School of Analytical Science and Technology, Chungnam National University
来源：
Food Chem. | / 168-175期
基金：
新加坡国家研究基金会;
关键词：
Geographical origin; ICP-AES; ICP-MS; Integrated analysis; Medicinal herb;
D O I：
10.1016/j.foodchem.2014.03.124AnalyticalMethods
中图分类号：
学科分类号：
摘要：
ICP-MS and 1H NMR are commonly used to determine the geographical origin of food and crops. In this study, data from multielemental analysis performed by ICP-AES/ICP-MS and metabolomic data obtained from 1H NMR were integrated to improve the reliability of determining the geographical origin of medicinal herbs. Astragalus membranaceus and Paeonia albiflora with different origins in Korea and China were analysed by 1H NMR and ICP-AES/ICP-MS, and an integrated multivariate analysis was performed to characterise the differences between their origins. Four classification methods were applied: linear discriminant analysis (LDA), k-nearest neighbour classification (KNN), support vector machines (SVM), and partial least squares-discriminant analysis (PLS-DA). Results were compared using leave-one-out cross-validation and external validation. The integration of multielemental and metabolomic data was more suitable for determining geographical origin than the use of each individual data set alone. The integration of the two analytical techniques allowed diverse environmental factors such as climate and geology, to be considered. Our study suggests that an appropriate integration of different types of analytical data is useful for determining the geographical origin of food and crops with a high degree of reliability. © 2014 Elsevier Ltd. All rights reserved.
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页码：168 / 175
页数：7
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