评估废水监测,以估计制药用途
Gilbert Osena1, Jerker Fick2, Carl-Fredrik Flach1
1Department of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden; Centre for Antibiotic Resistance Research in Gothenburg (CARe), Gothenburg, Sweden.
Environment international
|September 28, 2025
概括
对活性药物成分 (API) 的废水分析可以预测大多数药物的区域药物使用,错误率小于2倍. 这种方法有助于填补药物消费的关键数据缺口,尽管它在检测微小变化方面存在局限性.
科学领域:
- 环境化学环境化学
- 制药科学 制药科学
- 公共卫生 公共卫生
背景情况:
- 区域医学使用数据对于健康管理至关重要,但在全球范围内往往无法获得.
- 在缺乏传统数据的情况下,废水分析为估计药物消费提供了潜在的解决方案.
研究的目的:
- 评估未经处理的城市废水中分析活性药物成分 (API) 的有效性,以预测区域药物使用情况.
- 从废水数据中建立转换系数 (CF) 来估计药物使用情况.
主要方法:
- 在斯德哥尔摩污水处理厂 (WWTP) 中测量了53个API,从2004年到2021年具有影响力.
- 与全面的区域销售数据相关的API测量作为药物使用的代理.
- 使用废水和销售数据生成和评估转化因子 (CF),评估变化和预测性能.
主要成果:
- 废水回收的API质量通常与估计的每日使用量保持一致,CF在API之间差异很大.
- 估计68%的API在独立数据上验证时的典型预测误差小于2倍.
- 对于43个API,CF随时间变化稳定 (变化率<100%),预测与国际研究有很好的相关性.
结论:
- 对大多数API来说,基于废水的药物使用估计是可行的,典型误差小于2倍.
- 这种方法支持废水监测作为解决区域毒品消费数据差距的工具.
- 存在局限性,特别是在检测药物使用中的小变化时.
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