材料科学
电化学
碳纳米管
检出限
水溶液中的金属离子
循环伏安法
介电谱
电化学气体传感器
阳极溶出伏安法
自来水
纳米技术
化学工程
分析化学(期刊)
金属
电极
物理化学
色谱法
冶金
化学
环境工程
工程类
摘要
Abstract In recent years, the presence of heavy metal ions in food chains and water poses serious environmental and human health problems. Therefore, there has been a pressing need for fast simple, sensitive, and accurate methods for their detection. In this study a novel electrochemical sensor based on alginate sodium biopolymer decorating single‐walled carbon nanotubes was elaborated for the detection of trace level of heavy metal ions. Different brown algae were used to extract sodium alginate, with Cystoseira being the most common. Due to its high extraction yield and high mannuronate/guluronate (M/G) ratio, Compress a brown algae was chosen to disperse with single‐walled carbon nanotubes. Cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), scanning electron microscopy were monitored to investigate each surface modification. Differential pulse anodic stripping voltammetry (DPASV) was used to follow the electrochemical heavy metal ions determination. Moreover, the performance of the optimized heavy metal ions sensor in terms of sensitivity, linear range, limit of detection, and reproducibility was investigated. The detection limits were found to be 0.1, 31, and 1 nM for Pb 2+ , Cd 2+ , and Cu 2+ , respectively. The results reported in this work showed good stability, high sensitivity, and appealing inter‐electrode repeatability. Finally, lead detection in tap water was carried out. The metrological performance of the present sensor makes it a good alternative for heavy metal ions detection.
科研通智能强力驱动
Strongly Powered by AbleSci AI