Direct-detection of glyphosate in drinking water via a scalable and low-cost laser-induced graphene sensor

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analytical Methods Pub Date : 2024-12-23 DOI:10.1039/D4AY01549E
Bruno Vasconcellos Lopes, Guilherme Kurz Maron, Mateus Gallucci Masteghin, Raphael Dorneles Caldeira Balboni, S. Ravi P. Silva and Neftali Lenin Villarreal Carreno
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Abstract

The use of pesticides has significantly increased and proliferated following the technological advancements established by the green revolution, aimed at boosting agricultural productivity. The extensive use of man-made chemicals as fertilizer and pesticides has consequently led to large-scale application, which has led to a number of environmental and human health problems. This study has helped to develop a laser-induced graphene (LIG) sensor for the detection of the most widely used herbicide in the world, glyphosate. The electrochemical sensor developed is based on a three-dimensional porous and fibrous structure with nanosheets, making it suitable for scalable manufacture. The study was conducted utilising a linear voltammetry technique and demonstrates the potential to identify glyphosate with good sensitivity. The sensor exhibited detection and quantification limits of 2.7 μmol L−1 and 9.0 μmol L−1, respectively, and showed good selectivity without significant interference from other elements. The sensor presents advantages suitable for scalable production, with case studies in screening of glyphosate-contaminated samples.

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通过可扩展和低成本激光诱导石墨烯传感器直接检测饮用水中的草甘膦。
随着旨在提高农业生产力的绿色革命所带来的技术进步,农药的使用显著增加和扩散。由于广泛使用人造化学品作为肥料和杀虫剂,导致大规模使用,从而导致了一些环境和人类健康问题。这项研究帮助开发了一种激光诱导石墨烯(LIG)传感器,用于检测世界上使用最广泛的除草剂草甘膦。所开发的电化学传感器基于纳米片的三维多孔纤维结构,适合规模化制造。这项研究是利用线性伏安法技术进行的,并证明了识别草甘膦具有良好灵敏度的潜力。该传感器的检测限和定量限分别为2.7 μmol L-1和9.0 μmol L-1,具有良好的选择性,不受其他元素的干扰。该传感器具有适合规模化生产的优势,并对草甘膦污染样品的筛选进行了案例研究。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
期刊最新文献
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