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利用基于绿色微藻的光学生物测定法快速筛选海洋环境中的农药。

Fast pesticide pre-screening in marine environment using a green microalgae-based optical bioassay.

机构信息

Biosensor Srl, Via degli Olmetti 44, 00060 Formello, Rome, Italy.

Water and Soil Quality Research Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/ Jordi Girona 18-26, 08034 Barcelona, Catalonia, Spain.

出版信息

Mar Pollut Bull. 2018 Apr;129(1):212-221. doi: 10.1016/j.marpolbul.2018.02.036. Epub 2018 Feb 24.

DOI:10.1016/j.marpolbul.2018.02.036
PMID:29680540
Abstract

The present study evaluates an optical bioassay based on green photosynthetic microalgae as a promising alternative for monitoring of relevant seawater pollutants. Photosystem II fluorescence parameters from several microalgae species were examined in the presence of three common marine pesticides that act as photosynthesis inhibitors. The three pollutants were detected within 10 min in concentrations between ng/L-μg/L. The different algae species showed slightly diverse pesticide sensitivities, being Chlorella mirabilis the most sensitive one. Potential interferences due to oil-spill pollutants were discarded. The lipid content was characterized to identify microorganisms with suitable mechanisms that could facilitate stress acclimatization. C. mirabilis presented elevated content of unsaturated lipids, showing a promising potential for biosensing in saline stress conditions. The optimized microalgae-based bioassay was preliminarily incorporated into a marine buoy for autonomous pre-screening of pesticides in coastal areas, demonstrating its suitability for real-time monitoring of marine water and quantitative evaluation of total biotoxicity.

摘要

本研究评估了一种基于绿色光合微藻的光学生物测定法,作为监测相关海水污染物的一种有前途的替代方法。在存在三种常见的作为光合作用抑制剂的海洋农药的情况下,检查了几种微藻物种的光合系统 II 荧光参数。这三种污染物在 ng/L-μg/L 浓度范围内可在 10 分钟内检测到。不同的藻类物种对农药的敏感性略有不同,其中蛋白核小球藻最为敏感。已排除因溢油污染物造成的潜在干扰。对脂质含量进行了表征,以鉴定具有合适机制的微生物,这些微生物可以促进应激适应。蛋白核小球藻表现出较高含量的不饱和脂质,显示出在盐胁迫条件下进行生物传感的有前途的潜力。优化后的基于微藻的生物测定法已初步纳入海洋浮标中,用于沿海地区农药的自主预筛选,证明其适用于海洋水的实时监测和总生物毒性的定量评估。

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