地下水中阴离子染料的基团选择性识别:用于工业规模废水监测和控制排放的超灵敏电化学传感器

Taimur Ali, Nimra Bashir, Tajamal Hussain and Adeel Afzal*, 
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引用次数: 0

摘要

不加控制和不加控制的工业废水排放造成水污染,对人类健康和环境构成重大威胁。对于工业和环境主管部门来说,单独监测每种污染物是不可行的,因为对每种污染物采用单独的传感器或方法所涉及的复杂性、成本和时间限制。为了解决这个问题,我们提出了首个同类的开发,基团选择性电化学传感器,用于工业规模监测阴离子或酸性染料,一类在水中解离成阴离子的有色有机化合物,主要是磺化偶氮染料。电化学传感器采用掺杂钒的石墨氮化碳纳米片(V-gCN)和改性铅笔石墨电极,提供了具有高灵敏度和基团选择性的成本效益和可持续的解决方案。与未掺杂gCN和10% V-gCN传感器相比,5%V-gCN传感器具有优越的电化学性能。5%V-gCN传感器在检测水溶液、混合物和地下水中的铬黑T (EBT)、甲基橙(MO)和刚果红(CR)等阴离子染料方面表现出优异的性能。这些传感器具有出色的可靠性,高灵敏度(0.44-1.16 μA cm-2 nM - 1)和亚纳摩尔(< 1 nM)的检测限。基团选择性是通过测试阳离子染料,如亚甲基蓝(MB)和罗丹明B (RhB)证明。此外,5%V-gCN传感器具有优异的操作稳定性、再现性和可回收性。这项工作证明了5%V-gCN传感器在阴离子染料环境监测和工业废水控制排放方面的潜力,以确保后代的水质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Group-Selective Recognition of Anionic Dyes in Groundwater: Ultrasensitive Electrochemical Sensors for Industrial-Scale Monitoring and Controlled Release of Effluents

Group-Selective Recognition of Anionic Dyes in Groundwater: Ultrasensitive Electrochemical Sensors for Industrial-Scale Monitoring and Controlled Release of Effluents

Unchecked and uncontrolled release of industrial effluents causes water pollution and poses a major threat to human health and the environment. For industries and environmental authorities, it is not viable to monitor each pollutant individually due to the complexity, cost, and time constraints involved in employing separate sensors or methods for each contaminant. To address this issue, we present the development of the first-of-its-kind, group-selective electrochemical sensors for the industrial-scale monitoring of anionic or acid dyes, a class of colored organic compounds that dissociate into anions in water, primarily sulfonated azo dyes. The electrochemical sensors employ vanadium-doped graphitic carbon nitride nanosheets (V-gCN) and modified pencil graphite electrodes to provide a cost-effective and sustainable solution with high sensitivity and group selectivity. The 5%V-gCN sensor boasts superior electrochemical properties compared to both undoped gCN and 10% V-gCN sensors. The 5%V-gCN sensors show outstanding performance in detecting anionic dyes like erichrome black T (EBT), methyl orange (MO), and congo red (CR) in aqueous solutions, mixtures, and groundwater. These sensors deliver excellent reliability, high sensitivity (0.44–1.16 μA cm–2 nM–1), and sub-nanomolar (< 1 nM) limit of detection. Group selectivity is demonstrated by testing cationic dyes such as methylene blue (MB) and rhodamine B (RhB). Moreover, the 5%V-gCN sensor exhibits excellent operational stability, reproducibility, and recyclability. This work demonstrates the potential of a 5%V-gCN sensor for environmental monitoring of anionic dyes and controlled release of industrial effluents to ensure water quality for future generations.

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