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激光烧蚀银纳米颗粒辅助水中草甘膦的光谱检测。

Spectroscopic Detection of Glyphosate in Water Assisted by Laser-Ablated Silver Nanoparticles.

作者信息

De Góes Rafael Eleodoro, Muller Marcia, Fabris José Luís

机构信息

Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology-Parana, Curitiba 80230-901, Brazil.

出版信息

Sensors (Basel). 2017 Apr 26;17(5):954. doi: 10.3390/s17050954.

DOI:10.3390/s17050954
PMID:28445394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5461078/
Abstract

Glyphosate is one of the most widely used herbicides in the world. Its safety for both human health and aquatic biomes is a subject of wide debate. There are limits to glyphosate's presence in bodies of water, and it is usually detected through complex analytical procedures. In this work, the presence of glyphosate is detected directly through optical interrogation of aqueous solution. For this purpose, silver nanoparticles were produced by pulsed laser ablation in liquids. Limits of detection of 0.9 mg/L and 3.2 mg/L were obtained with UV-Vis extinction and Surface Enhanced Raman spectroscopies, respectively. The sensing mechanism was evaluated in the presence of potential interferents as well as with commercial glyphosate-based herbicides.

摘要

草甘膦是世界上使用最广泛的除草剂之一。其对人类健康和水生生物群落的安全性是一个广泛争论的话题。水体中草甘膦的存在是有限的，通常通过复杂的分析程序来检测。在这项工作中，通过对水溶液的光学检测直接检测草甘膦的存在。为此，通过液体中的脉冲激光烧蚀制备了银纳米颗粒。分别用紫外可见消光光谱和表面增强拉曼光谱获得了0.9 mg/L和3.2 mg/L的检测限。在存在潜在干扰物的情况下以及使用基于草甘膦的商业除草剂对传感机制进行了评估。

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3
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4
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5
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