Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, India; MEMS, Microfluidics and Nanoelectronics Lab (MMNE), Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, India.
MEMS, Microfluidics and Nanoelectronics Lab (MMNE), Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, India; Department of Mechanical Engineering, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, India.
Environ Res. 2023 Mar 1;220:115192. doi: 10.1016/j.envres.2022.115192. Epub 2022 Dec 29.
This work demonstrates the simultaneous identification of four hazardous heavy metals in water samples, namely copper, lead, cadmium, and mercury. A simple yet selective electrode with the simplest fabrication procedure was used. The modified porous carbon threads coated with gold nanoparticles (AuNPs) was employed as a working electrode. The surface chemistry and morphology of the AuNPs deposited porous carbon thread surface were examined. The electrocatalytic activity of the metals on the Au-modified thread surface was observed using the differential pulse voltammetry (DPV) technique. Furthermore, all four metal ions were detected simultaneously, and no interference was observed. Individual and simultaneous experiments to test the impact of concentration revealed that the limit of detection (LoD) was observed to be 1.126 μM, 1.419 μM, 0.966 μM, 0.736 μM for the Cd, Pb, Cu, and Hg metal ions respectively in a linear concentration range of 10-110 μM of each. Subsequently, the study of pH, interference with coexisting metal ions, repeatability study, and stability analysis was also performed. A real sample analysis utilising three different lake water samples is also carried out to further understand the application of the proposed sensor. A good recovery rate is achieved, and the results are reported. This work paves way for the on-field applicability of the present heavy metal detection platform.
这项工作展示了对水样中四种有害重金属（铜、铅、镉和汞）的同时识别。使用了一种具有最简单制造工艺的简单而选择性的电极。修饰的多孔碳丝涂有金纳米粒子（AuNPs），用作工作电极。研究了 AuNPs 沉积在多孔碳丝表面的表面化学和形态。使用差分脉冲伏安法（DPV）技术观察金属在 Au 修饰的线表面上的电催化活性。此外，还同时检测了所有四种金属离子，没有观察到干扰。单独和同时进行的浓度实验测试表明，检测限（LoD）观察到 Cd、Pb、Cu 和 Hg 金属离子的 LoD 分别为 1.126 μM、1.419 μM、0.966 μM 和 0.736 μM，每个金属离子的线性浓度范围为 10-110 μM。随后，还进行了 pH 值、共存金属离子干扰、重复性研究和稳定性分析研究。还利用三个不同的湖水样本进行了实际样本分析，以进一步了解所提出传感器的应用。实现了良好的回收率，并报告了结果。这项工作为当前重金属检测平台的现场应用铺平了道路。
