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伦巴第水域污染物的协同效应。

Synergistic effects of contaminants in Lombardy waters.

作者信息

La Porta Caterina A M, Fumagalli Maria Rita, Gomarasca Stefano, Lionetti Maria Chiara, Zapperi Stefano, Bocchi Stefano

机构信息

Center for Complexity and Biosystems, University of Milan, via Celoria 16, 20133, Milan, Italy.

Department of Environmental Science and Policy, University of Milan, via Celoria 26, 20133, Milan, Italy.

出版信息

Sci Rep. 2021 Jul 6;11(1):13888. doi: 10.1038/s41598-021-93321-6.

Abstract

Quantifying synergistic environmental effects in water contamination is still an open issue. Here, we have analyzed geolocalized data of pollutants recorded in 2018 in surface and groundwater of Lombardy, one of the areas with the highest agricultural production rates, not only in Italy, but also in Europe. Both herbicides and insecticides are present at concentration levels above the legal limit, mainly in surface waters. Geolocalized analysis allows us to identify interesting areas particularly affected by a combination of multiple pesticides. We thus investigated possible synergistic effects of these compounds on the environment, using the alga C. reinhardtii as a biosensor. Our results show that exposure for 7 days to four compounds, that we found present together at high concentration in surface waters, was able to induce a stress in the algae, as indicated by the presence of palmelloids. Our work results in a pipeline that could easily be exported to monitor other territories in Italy and abroad.

摘要

量化水污染中的协同环境效应仍是一个未解决的问题。在此,我们分析了2018年在伦巴第大区地表水和地下水中记录的污染物的地理定位数据,伦巴第大区不仅是意大利,也是欧洲农业生产率最高的地区之一。除草剂和杀虫剂的浓度均高于法定限值,主要存在于地表水中。地理定位分析使我们能够识别受多种农药组合特别影响的有趣区域。因此,我们以莱茵衣藻作为生物传感器,研究了这些化合物对环境可能产生的协同效应。我们的结果表明,将藻类暴露于在地表水中高浓度共同存在的四种化合物7天,能够诱导藻类产生应激反应,这表现为出现似亲孢子。我们的工作成果形成了一个流程,该流程可以轻松输出,用于监测意大利国内外的其他地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59e2/8260714/80334cd10fb9/41598_2021_93321_Fig1_HTML.jpg

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