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电感耦合等离子体质谱法研究山西省野生黄芪多元素的独特特征

Study of the Unique Characteristics of Multi-Elements of the Wild Astragali Radix from Shanxi Province by Inductively Coupled Plasma Mass Spectrometry.

作者信息

Zhang Junjie, Lin Youming, Wei Xuehong, Li Zhenyu, Li Rongrong

机构信息

Shanxi University, Scientific Instrument Center, 92 Wucheng Road, Taiyuan, 030006, Shanxi, People's Republic of China.

Shaanxi Normal University, School of Chemistry and Chemical Engineering, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, 199 Chang'an South Road, Xi'an, 710062, Shaanxi, People's Republic of China.

出版信息

J AOAC Int. 2022 Mar 15;105(2):603-611. doi: 10.1093/jaoacint/qsab144.

Abstract

BACKGROUND

Astragali Radix (AR) is widely used because of its dual use in medicine and food. Wild Astragali Radix from Hunyuan county of Shanxi province in China is accepted as a geo-authentic medicine with high quality and good medicinal effects. Multi-elements of Astragali Radix partially reflect its efficacy and safety. However, there has been no systemic research about the elemental analysis of geo-authentic Astragali Radix until now.

OBJECTIVE

In this paper, multi-elemental profiling of Astragali Radix from Gansu, Jilin, Inner Mongolia, Shaanxi and Shanxi provinces in China was carried out.

METHODS

A microwave digestion coupled with inductively coupled plasma-MS (ICP-MS), principal component analysis (PCA), and partial-least square-discriminate analysis (PLS-DA) were used for analysis of the unique elemental accumulation ability of Shanxi wild AR.

RESULTS

Compared to the samples from Gansu, Jilin, Inner Mongolia, Shaanxi provinces, and the cultivated samples from Shanxi, for 53 stably detected elements, the concentrations of most elements (Ba, Cs, Ga, La, Pr, and so on) were significantly higher while a few (Cd, Cu, P, W and Zn) were significantly lower in wild Astragali Radix from Shanxi. After binary logistic regression, combinational variable Ba-P was found to be a good marker to distinguish wild Astragali Radix of Shanxi province from the samples with other origins, and the total positive prediction probability of the test samples, both bought from the market and gathered from their original field, could reach 93.8% through external validation using the model.

CONCLUSION

Multi-elemental analysis coupled with PCA, PLS-DA, nonparametric analysis and binary logistic regression can be a good tool for the identification of wild Astragali Radix from Shanxi province.

HIGHLIGHTS

An ICP-MS method was developed and validated for multi-elements. Fifty-three elements in Astragali Radix from samples with different origins were compared. The wild Astragali Radix from Shanxi had unique elemental characteristics. Combinational variable Ba-P is a good marker to identify wild AR from Shanxi.

摘要

背景

黄芪因其药食两用而被广泛应用。中国山西省浑源县的野生黄芪被公认为是一种道地药材,品质优良,药效显著。黄芪中的多种元素部分反映了其功效和安全性。然而,迄今为止,尚未对道地黄芪进行系统的元素分析研究。

目的

本文对中国甘肃、吉林、内蒙古、陕西和山西五省的黄芪进行了多元素分析。

方法

采用微波消解-电感耦合等离子体质谱法(ICP-MS)、主成分分析(PCA)和偏最小二乘判别分析(PLS-DA),分析山西野生黄芪独特的元素积累能力。

结果

与甘肃、吉林、内蒙古、陕西的样品以及山西的栽培样品相比,在53种稳定检测的元素中,山西野生黄芪中大多数元素(钡、铯、镓、镧、镨等)的含量显著更高,而少数元素(镉、铜、磷、钨和锌)的含量显著更低。经过二元逻辑回归分析,发现组合变量钡-磷是区分山西野生黄芪与其他产地样品的良好标志物,通过该模型进行外部验证,无论是市场购买还是实地采集的测试样品,总阳性预测概率可达93.8%。

结论

多元素分析结合PCA、PLS-DA、非参数分析和二元逻辑回归可成为鉴定山西野生黄芪的良好工具。

亮点

建立并验证了一种用于多元素分析的ICP-MS方法。比较了不同产地黄芪样品中的53种元素。山西野生黄芪具有独特的元素特征。组合变量钡-磷是鉴定山西野生黄芪的良好标志物。

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