一个框架来评估农作物中的药物积累:从废水灌到消费
John Nightingale1, Stefan Trapp2, Andrea Garduño-Jiménez1
1School of Geography, The University of Leeds, Leeds LS2 9J, UK.
Journal of hazardous materials
|April 29, 2025
概括
一个新的模型预测了用经过处理的废水灌种植的玉米 (Zea mays) 中的药物积累. 这一框架确定了诸如托皮拉和富洛塞米德之类的关键药物,有助于对农业中新出现的污染物进行风险评估.
科学领域:
- 环境化学环境化学
- 农业科学 农业科学
- 生态毒理学 生态毒理学
背景情况:
- 经过处理的废水灌将新出现的污染物,包括药品,引入农业生态系统.
- 当前的监测方法通常分析这些污染物的有限范围.
- 评估这些药物的环境命运和潜在风险至关重要.
研究的目的:
- 开发一个预测建模框架,用于估计农作物中的药物积累.
- 评估用经过处理的废水灌的Zea mays (玉米) 中药物的潜在吸收.
- 识别具有高积累潜力的药品以及之前未在监测中记录的药品.
主要方法:
- 使用现有模型开发了一个建模框架.
- 输入包括药物的化学结构和分泌率.
- 该模型预测了Zea mays在三个高废水再利用地区的积累潜力.
主要成果:
- 该模型预测了72.7%的药品的度在文献值的10倍之内.
- 托皮拉胺,罗西米德和凝纤维素显示出最高的积累潜力 (50.27418.01 ng/g dw).
- 在前30名药品中,有56.7%的药品以前没有在文献或监测中得到记录.
结论:
- 开发的框架有效地预测了有限的实验数据在玉米中的药物积累.
- 该研究强调了特定药品的大量积累,并确定了以前未经记录的化合物.
- 这种方法为评估农业生态系统中与制药污染物相关的风险提供了有价值的工具.
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