Literature DB >> 32726051

[Comparative analysis and study on component characteristics of inorganic elements in genuine Moutan Cortex and their differences from other areas].

Mao-Mao Zhu1, Yun-Qing Xia2, Liang Feng3, Xiao-Bin Jia3.   

Abstract

Based on the theory of "component structure", the component structure characteristics of 17 inorganic elements in 20 batches of genuine Moutan Cortex and 12 batches of non-genuine Moutan Cortex were analyzed. The analytical method of inductively coupled plasma mass spectrometry(ICP-MS) for inorganic elements in Moutan Cortex was established, and the fingerprint of inorganic elements was drawn. Through correlation analysis and principal component analysis, the constituent elements of inorganic elements in Moutan Cortex were excavated, namely characteristic elements As, Cr, Pb, Se, K, Cu and Cd. The amount and the quantity relative ratio between the components of genuine and non-genuine Moutan Cortex samples were analyzed. It was found that the amount of characteristic elements in the bulk genuine Moutan Cortex samples was 0.33, 1.42, 1.33, 0.11, 4 385.78, 4.87, 0.49 mg·kg~(-1), with the quantity relative ratio of 1.00∶4.30∶4.03∶0.33∶13 290.24∶14.76∶1.48. The amount of characteristic elements in sub-packaged genuine Moutan Cortex was 0.24, 1.96, 0.36, 0.05, 5 122.01, 4.81, 0.05 mg·kg~(-1), with the quantity relative ratio of 1.00∶8.17∶1.50∶0.21∶21 341.71∶20.04∶0.21. The unique structural characteristics of inorganic elements in genuine Moutan Cortex are studied to provide a basis for the quality control and safety evaluation of Moutan Cortex.

Entities:  

Keywords:  Moutan Cortex; genuine; inorganic element; structural characteristics of components

Mesh:

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Year:  2020        PMID: 32726051     DOI: 10.19540/j.cnki.cjcmm.20200522.301

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  1 in total

1.  Multi-elements characteristic and potential risk of heavy metals in MOUTAN CORTEX from Anhui Province, China.

Authors:  X Xue; G Liu; Q Tang; H Shi; D Wu; C Jin; H Zhao; Y Wei; Y Zhang
Journal:  Int J Environ Sci Technol (Tehran)       Date:  2022-08-06       Impact factor: 3.519

  1 in total

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