Study of the Unique Characteristics of Multi-Elements of the Wild Astragali Radix from Shanxi Province by Inductively Coupled Plasma Mass Spectrometry
| Autor: | Wei Xuehong, Junjie Zhang, Lin Youming, Zhenyu Li, Rongrong Li |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Pharmacology
Principal Component Analysis Traditional medicine External validation Astragalus Plant Biology Inner mongolia Plant Roots Prediction probability Mass Spectrometry Analytical Chemistry Environmental Chemistry Radix Agronomy and Crop Science Inductively coupled plasma mass spectrometry Drugs Chinese Herbal Food Science |
| Zdroj: | Journal of AOAC INTERNATIONAL. 105:603-611 |
| ISSN: | 1944-7922 1060-3271 |
| DOI: | 10.1093/jaoacint/qsab144 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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