Department of Chemistry, K.L.E. Institute of Technology, Hubballi, 580030, Karnataka, India.
Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidyanagar, Hubballi, 580 031, Karnataka, India.
Chemosphere. 2022 Sep;303(Pt 1):134919. doi: 10.1016/j.chemosphere.2022.134919. Epub 2022 May 11.
Incorporating new pollutants and environmental pollution has become a formidable issue as new pollutants are introduced into it and have become a significant concern in recent years. Detection of such pollutants needs a susceptible, selective, and cost-effective sensor that can sense their presence and quantify them at a trace level. In the present study, we have designed a 2D graphene oxide (GO)-based glassy carbon electrode (GCE) electrochemical sensor (GO/GCE) and utilized it as a sensing material for the detection and determination of CRZ. The voltammetric behavior of CRZ was studied using cyclic voltammetry (CV) and square wave voltammetry (SWV) techniques. The SWV was applied to quantify and analyze CRZ in actual samples. A better response of CRZ was noticed at GO/GCE when phosphate buffer solution of pH 4.2 was used as a supporting electrolyte for to experiment. The SWV technique achieved trace-level detection of CRZ. A linearity plot was obtained for the concentration range of 1.0 × 10 M to 2.5 × 10 M with a limit of detection of 1.38 × 10 M. The selectivity of the modified sensor was verified by the interference study of metal ions and other pesticides with CRZ. The agricultural and environmental significance of the developed method was successfully tested by estimating CRZ in water and soil samples.
将新污染物纳入其中,使其成为环境污染的一部分,已成为一个严峻的问题,这些新污染物近年来引起了人们的广泛关注。检测此类污染物需要一种敏感、选择性强且经济高效的传感器,以便能够在痕量水平下感知其存在并对其进行定量分析。在本研究中,我们设计了一种基于 2D 氧化石墨烯(GO)的玻碳电极(GCE)电化学传感器(GO/GCE),并将其用作检测和测定 CRZ 的传感材料。使用循环伏安法(CV)和方波伏安法(SWV)技术研究了 CRZ 的伏安行为。采用 SWV 技术对实际样品中的 CRZ 进行定量和分析。当使用 pH 值为 4.2 的磷酸盐缓冲溶液作为支持电解质进行实验时,在 GO/GCE 上观察到 CRZ 的响应更好。SWV 技术实现了对 CRZ 的痕量检测。获得了浓度范围为 1.0×10 -5 M 至 2.5×10 -5 M 的线性关系图,检测限为 1.38×10 -5 M。通过研究金属离子和其他农药对 CRZ 的干扰,验证了修饰传感器的选择性。通过估计水和土壤样品中的 CRZ,成功测试了所开发方法的农业和环境意义。