[基于真菌生物组分析的废水中精神活性物质的微生物检测]
Hou-Ying Zou1, Yin-Lei Lei2,3, Ruo-Cheng Xia2
1School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
Fa yi xue za zhi
|January 28, 2026
概括
废水微生物组分析与化学检测相结合,可以识别精神活性物质. 这种综合方法在含有这些化合物的样本和不含这些化合物的样本之间显示出明显的细菌群体差异.
科学领域:
- 环境微生物学环境微生物学
- 分析化学是一种分析化学.
- 法医科学 法医科学
背景情况:
- 废水分析是公共卫生监测的一个不断增长的领域.
- 在废水中检测精神活性物质有助于了解社区层面的物质使用.
- 微生物组分析为生物标记物发现提供了一个新的视角.
研究的目的:
- 调查16S rRNA全长基因测序对检测废水中的精神活性物质的有用性.
- 为了将废水微生物组组成与精神活性化合物的存在相关联.
- 开发基于微生物数据的精神活性物质检测预测模型.
主要方法:
- 液体染色学-并联质谱学 (LC-MS/MS) 用于在21个废水样本中识别精神活性物质.
- 样品被分为阳性 (存在物质) 和阴性 (缺乏物质) 组.
- 全长16S rRNA基因测序分析了细菌群体,包括物种组成,α多样性 (Shannon,Simpson) 和β多样性 (PCoA,NMDS).
- 线性差异分析效果大小 (LEfSe) 和递归特征消除 (RFE) 确定了关键的操作分类单位 (OTU).
- 使用选定的OTU进行预测,构建了一个随机森林模型.
主要成果:
- 在阳性和阴性组之间观察到细菌群体组成和结构的显著差异.
- 与负面组相比,积极组的样本多样性更高.
- 对变异的多变量分析 (PERMANOVA) 证实了β多样性的显著差异.
- 随机森林模型实现了83.3%的预测准确度,ROC AUC值为0.89和0.83.
结论:
- 废水微生物组分析,当与LC-MS/MS等化学技术相结合时,可以提高对精神活性物质的检测.
- 显著的微生物特征与废水中精神活性化合物的存在有关.
- 这种综合方法为全面监测精神活性物质使用提供了一个有希望的策略.
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