Suppr超能文献

施用于农业集水区的地表径流中农药是否会降解?利用被动采样器(POCIS)和化合物特异性同位素分析。

Do pesticides degrade in surface water receiving runoff from agricultural catchments? Combining passive samplers (POCIS) and compound-specific isotope analysis.

机构信息

Université de Strasbourg, CNRS/ENGEES, ITES UMR 7063, Institut Terre et Environnement de Strasbourg, Strasbourg, France.

Laboratoire Ecologie fonctionnelle et Environnement, Université de Toulouse, CNRS, 31326 Castanet Tolosan, France.

出版信息

Sci Total Environ. 2022 Oct 10;842:156735. doi: 10.1016/j.scitotenv.2022.156735. Epub 2022 Jun 20.

Abstract

Pesticides lead to surface water pollution and ecotoxicological effects on aquatic biota. Novel strategies are required to evaluate the contribution of degradation to the overall pesticide dissipation in surface waters. Here, we combined polar organic chemical integrative samplers (POCIS) with compound-specific isotope analysis (CSIA) to trace in situ pesticide degradation in artificial ponds and agricultural streams. The application of pesticide CSIA to surface waters is currently restricted due to environmental concentrations in the low μg.L range, requiring processing of large water volumes. A series of laboratory experiments showed that POCIS enables preconcentration and accurate recording of the carbon isotope signatures (δC) of common pesticides under simulated surface water conditions and for various scenarios. Commercial and in-house POCIS did not significantly (ΔδC < 1 %) change the δC of pesticides during uptake, extraction, and δC measurements of pesticides, independently of the pesticide concentrations (1-10 μg.L) or the flow speeds (6 or 14 cm.s). However, simulated rainfall events of pesticide runoff affected the δC of pesticides in POCIS. In-house POCIS coupled with CSIA of pesticides were also tested under different field conditions, including three flow-through and off-stream ponds and one stream receiving pesticides from agricultural catchments. The POCIS-CSIA method enabled to determine whether degradation of S-metolachlor and dimethomorph mainly occurred in agricultural soil or surface waters. Comparison of δC of S-metolachlor in POCIS deployed in a stream with δC of S-metolachlor in commercial formulations suggested runoff of fresh S-metolachlor in the midstream sampling site, which was not recorded in grab samples. Altogether, our study highlights that the POCIS-CSIA approach represents a unique opportunity to evaluate the contribution of degradation to the overall dissipation of pesticides in surface waters.

摘要

农药导致地表水受到污染,并对水生生物产生生态毒性效应。需要采取新的策略来评估降解对地表水总体农药消散的贡献。在这里,我们将极性有机化学整合采样器 (POCIS) 与化合物特异性同位素分析 (CSIA) 相结合,以追踪人工池塘和农业溪流中农药的原位降解情况。由于环境浓度处于μg.L 的低水平范围,目前农药 CSIA 在地表水的应用受到限制,需要处理大量的水体积。一系列实验室实验表明,POCIS 能够在模拟地表水条件下对常见农药进行预浓缩和准确记录其碳同位素特征 (δC),并适用于各种情况。商业和内部 POCIS 在吸收、提取和测量农药的 δC 过程中,并不会显著改变 (ΔδC < 1 %) 农药的 δC,无论农药浓度 (1-10 μg.L) 或流速 (6 或 14 cm.s) 如何。然而,模拟农药径流的降雨事件会影响 POCIS 中农药的 δC。内部 POCIS 与农药的 CSIA 也在不同的现场条件下进行了测试,包括三个流动和非溪流池塘以及一个接收农业流域农药的溪流。POCIS-CSIA 方法能够确定 S-甲草胺和二甲戊灵的降解主要发生在农业土壤还是地表水中。在溪流中部署的 POCIS 中 S-甲草胺的 δC 与商业制剂中 S-甲草胺的 δC 进行比较,表明在中游采样点有新鲜 S-甲草胺的径流,而这在 grab 采样中并未记录到。总的来说,我们的研究强调了 POCIS-CSIA 方法代表了评估降解对地表水总体农药消散的贡献的独特机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验