法医学杂志2025，Vol.41Issue(5)：468-476,9.DOI:10.12116/j.issn.1004-5619.2025.550803
基于微生物组学污水中精神活性物质检测
Exploring Microbial Detection of Psychoactive Substances in Wastewater Based on Micobiome Analysis
摘要
Abstract
Objective To explore the potential wastewater microbiome analysis for detecting psychoac-tive substances by using full-length 16S rRNA gene sequencing with liquid chromatography-tandem mass spectrometry(LC-MS/MS).Methods LC-MS/MS was used to qualitatively detect psychoactive substances in 21 wastewater samples suspected to contain such compunds.Based on the results,the samples were categorized into two groups:a positive group(containing psychoactive substances)and a negative group(free of psychoactive substances).Subsequently,bacterial communities in all samples were analyzed using full-length 16S rRNA gene sequencing.This analysis characterized the species composition,α diversity(Shannon and Simpson indices),and β-diversity(PCoA and NMDS).Signifi-cantly different operational taxonomic units(OTUs)were screened using linear discriminant analysis ef-fect size(LEfSe),and optimal OTU features were iteratively selected via recursive feature elimination(RFE).A random forest prediction model was built with these two OTU subsets as input features.Re-sults The composition and structure of the bacterial communities showed marked differences between the two groups.The sample diversity in the positive group was higher than that in the negative group.The permutational ultivariate analysis of variance(PERMANOVA)revealed a statistically significant difference in β-diversity between the two groups.Random Forest models achieved a prediction accu-racy of 83.3%,with areas under the ROC curve of 0.89 and 0.83,respectively.Conclusion Integrating wastewater bacterial community analysis with chemical analysis techniques may provide a more compre-hensive approach for monitering the presence of psychoactive substances.关键词
法医学/微生物组学/精神活性物质/机器学习/16S rRNAKey words
forensic medicine/microbiomics/psychoactive substances/machine learning/16S rRNA分类
医药卫生引用本文复制引用
邹后英,雷印蕾,夏若成,施妍,李成涛..基于微生物组学污水中精神活性物质检测[J].法医学杂志,2025,41(5):468-476,9.基金项目
国家重点研发计划资助项目(2022YFC3302004) （2022YFC3302004）
