Heavy Metals in 47 Chinese Medicinal Materials:A Data Mining
Objective:To analyze the enrichment characteristics of heavy metals in Chinese medicinal materials and predict their contents in different parts of the medicinal plants,to provide a basis for further analyzing the enrichment mechanism of heavy metals in Chinese medicinal materials and formulating relevant standards.Methods:Forty-seven Chinese medicinal materials were screened out from 238 articles published from 1998 to 2023.Data pre-processing,univariate analysis and multivariate analysis were carried out using R language and Python software to mine the data of five heavy metals.The contents of lead(Pb),mercury(Hg),arsenic(As)and cadmium(Cd)were assessed according to the Traditional Chinese Medicine Determination of Heavy Metals in Herbal Medicines Used in Traditional Chinese Medicine in the International Organization for Standardization(ISO),and the content of copper(Cu)was assessed with reference to the Green Standards of Medicinal Plants and Preparations for Foreign Trade and Economy.Random forest regression was used to predict the contents of the five heavy metals in different parts of the medicinal plants.Results:The contents of heavy metals in the 47 Chinese medicinal materials were in the order of Cu>Pb>Hg>As>Cd,and the exceedance rate was sequenced as Cu>Cd>Hg>As>Pb.Heavy metals were more observed in herbs with dry aboveground part,sclerotium,fruit spike and bark.Except for Beijing,Chongqing,Guangxi,Heilongjiang,Jilin,Liaoning and Xinjiang,where no exceedance of heavy metals has been found,the phenomenon of exceedance of heavy metals in Chinese herbal medicines exists in all other regions of the country.The random forest regression model showed high accuracy in predicting the levels of cadmium,mercury and arsenic in different entry sites.Conclusion:Heavy metal pollution in Chinese medicinal materials poses potential risks to the development of traditional Chinese medicine industry,and it is necessary to strengthen the research on the enrichment mechanism of heavy metals in Chinese medicinal materials.Machine learning showed good application potential in the analysis of heavy metals by data mining in Chinese medicinal materials,providing new ideas for future research on the enrichment mechanism of heavy metals in Chinese medicinal materials.
Chinese medicinal materialsheavy metalsstatistic analysisdata miningmachine learning
国家科技期刊平台
NSTL
万方数据
维普
