杀虫剂
二嗪酮
荧光
碳量子点
碳纤维
环境污染
环境化学
检出限
量子点
纳米技术
材料科学
化学
环境科学
色谱法
环境保护
物理
农学
复合数
复合材料
生物
量子力学
作者
Fatemeh Ashrafi Tafreshi,Zahra Fatahi,Seyedeh Fatemeh Ghasemi,Amirali Taherian,Neda Esfandiari
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2020-03-24
卷期号:15 (3): e0230646-e0230646
被引量:110
标识
DOI:10.1371/journal.pone.0230646
摘要
Pesticides, widely used in modern agriculture, could potentially cause environmental pollution and affect human lives. Hence, the development of a highly sensitive sensing element to detect pesticide residues is crucial for food safety and ecosystem protection. Optical methods based on fluorescence properties provide an ideal approach for screening and quantification of these compounds in different medias including water, plant, and nutritional products. The development of fluorescence emitting carbon dot-based sensors for monitoring pesticides has attracted great attention in recent years. In comparison to other fluorophores, carbon dots have more promising optical features, higher quantum yields and better biocompatibility. This article aims to present a novel fluorescent sensing method of diazinon, glyphosate, and amicarbazone using plant-based carbon dots. A comprehensive characterization of carbon dots obtained from cauliflower was performed by methods including UV-visible, FTIR spectroscopy, fluorometry, AFM, DLS, and zeta sizer. Following this step, carbon dots were used to detect pesticides. The fluorescence quenching property of carbon dots has been utilized to identify detection limit of 0.25, 0.5, and 2 ng ml-1 for diazinon, amicarbazone, and glyphosate, respectively. Also, real sample study revealed that the detection of pesticides accompanied by our developed nano-sensor is repeatable and accurate. According to carbon dots specificity determination, the prepared nano sensor does not have the potential to identify “bromacil” and “dialen super” pesticides but the other three mentioned pesticides are detectable. The results confirm that synthesized green carbon dots are well qualified for application in food safety and environmental monitoring.
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