Industrial waste utilization, nano- and biomaterial division, CSIR- Advanced Materials and Processes Research Institute (CSIR-AMPRI), Hoshangabad Road, Bhopal, Madhya Pradesh, 462026, India.
Department of Chemical Engineering, Indian Institute of Technology, Jammu, Jagti, Nagrota, Jammu & Kashmir, 181221, India.
Chem Asian J. 2024 May 17;19(10):e202400241. doi: 10.1002/asia.202400241. Epub 2024 Mar 29.
Electrochemical sensors offer promising prospects for real-time pollutant monitoring. In this study, copper oxide-dispersed graphitic carbon nanofibers (CuO-CNFs) grown via chemical vapour deposition were employed as a robust platform for detecting a variety of environmental pollutants. This array-based sensor adeptly identifies three different classes of analytes, i. e., antibiotics (chloramphenicol (CP) and tylosin tartrate (TT)), heavy metals (cadmium (Cd) and lead (Pb)), and pesticides (quinalphos (QP) and imidacloprid (IP)). Electron collection is facilitated by a glassy carbon electrode, while various physico-electrochemical methods delve into the properties of CuO-CNFs. The CuO-CNF-modified GCE array rapidly discerns (<15 sec) a broad linear range: 1-20 ppm for CP, 1-13.33 ppm for TT, 0.66-11.66 ppm for Cd, 20-33.33 ppm for Pb, 1.6-11.6 ppm for QP, and 5-25 ppm for IP, boasting quantification limits of 1.0, 1.0, 0.66, 20.0, 1.6, and 5.0 ppm for CP, TT, Cd, Pb, QP, and IP, respectively. Notably, this sensor achieves simultaneous identification of mixed analytes, including CP and TT, Cd and Pb, and QP and IP, within real tap water. Furthermore, the electrochemical sensor exhibits robustness; heightened sensitivity, selectivity, and stability; a swift response; and impressive reproducibility in detecting CP, TT, Cd, Pb, QP, and IP within aqueous samples. Consequently, this array-based electrochemical sensor has emerged as a rapid and simultaneous detection tool for diverse pollutant residues in surface and groundwater samples.
电化学传感器在实时污染物监测方面具有广阔的应用前景。在本研究中,采用化学气相沉积法生长的氧化铜分散石墨相氮化碳纳米纤维(CuO-CNFs)作为一种强大的平台,用于检测多种环境污染物。这种基于阵列的传感器能够灵敏地识别三类不同的分析物,即抗生素(氯霉素(CP)和酒石酸泰乐菌素(TT))、重金属(镉(Cd)和铅(Pb))和农药(喹硫磷(QP)和吡虫啉(IP))。电子收集是通过玻碳电极实现的,同时还采用各种物理电化学方法研究了 CuO-CNFs 的性质。CuO-CNF 修饰的 GCE 阵列能够快速区分(<15 秒)较宽的线性范围:CP 的 1-20 ppm、TT 的 1-13.33 ppm、Cd 的 0.66-11.66 ppm、Pb 的 20-33.33 ppm、QP 的 1.6-11.6 ppm 和 IP 的 5-25 ppm,CP、TT、Cd、Pb、QP 和 IP 的定量限分别为 1.0、1.0、0.66、20.0、1.6 和 5.0 ppm。值得注意的是,该传感器在实际自来水中能够实现混合分析物(包括 CP 和 TT、Cd 和 Pb、QP 和 IP)的同时识别。此外,该电化学传感器具有鲁棒性、高灵敏度、选择性和稳定性、快速响应和出色的重现性,可用于检测水样中的 CP、TT、Cd、Pb、QP 和 IP。因此,这种基于阵列的电化学传感器已成为一种快速、同时检测地表水和地下水中多种污染物残留的工具。