Suppr超能文献

用于超灵敏检测镉(II)的铋/多孔石墨烯异质结构

Bismuth/Porous Graphene Heterostructures for Ultrasensitive Detection of Cd (II).

作者信息

Huang Luyi, Ito Yoshikazu, Fujita Takeshi, Ge Xingbo, Zhang Ling, Zeng Heping

机构信息

School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Institute of Applied Physics, Graduate School of Pure and Applied Sciences, University of Tsukuba, Tennodai, Tsukuba 305-8571, Japan.

出版信息

Materials (Basel). 2020 Nov 12;13(22):5102. doi: 10.3390/ma13225102.

Abstract

Heavy metals pollution is one of the key problems of environment protection. Electrochemical methods, particularly anodic stripping voltammetry, have been proven a powerful tool for rapid detection of heavy metal ions. In the present work, a bismuth modified porous graphene (Bi@PG) electrode as an electrochemical sensor was adopted for the detection of heavy metal Cd in an aqueous solution. Combining excellent electronic properties in sensitivity, peak resolution, and high hydrogen over-potential of bi-continuous porous Bi with the large surface-area and high conductivity on PG, the Bi@PG electrode exhibited excellent sensing ability. The square wave anodic stripping voltammetry response showed a perfect liner range of 10-10 M with a correlation coefficient of 0.9969. The limit of detection (LOD) and the limit of quantitation (LOQ) are calculated to be 0.1 and 0.34 nM with a sensitivity of 19.05 μA·nM, which is relatively excellent compared to other carbon-based electrodes. Meanwhile, the Bi@PG electrode showed tremendous potential in composite detection of multifold heavy metals (such as Pb and Cd) and wider linear range.

摘要

重金属污染是环境保护的关键问题之一。电化学方法,尤其是阳极溶出伏安法,已被证明是快速检测重金属离子的有力工具。在本工作中,采用铋修饰的多孔石墨烯(Bi@PG)电极作为电化学传感器来检测水溶液中的重金属镉。Bi@PG电极将双连续多孔铋在灵敏度、峰分辨率和高析氢过电位方面的优异电子性能与PG的大表面积和高导电性相结合,表现出优异的传感能力。方波阳极溶出伏安法响应显示出10-10 M的完美线性范围,相关系数为0.9969。检测限(LOD)和定量限(LOQ)经计算分别为0.1和0.34 nM,灵敏度为19.05 μA·nM,与其他碳基电极相比相对优异。同时,Bi@PG电极在多种重金属(如铅和镉)的复合检测以及更宽的线性范围方面显示出巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c41a/7697896/781a554e4725/materials-13-05102-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验