注：北京市教育委员会科技发展计划面上项目（NO. KM201611232021）；
    国家自然科学基金项目（NO. 61601037）；
    北京市优秀人才培养资助基金项目（NO. 2014000020124G104）
作者：宋怡然1，胡敬芳2，邹小平2，高国伟1,2
单位：1. 北京信息科技大学 自动化学院，北京100192；
      2. 北京信息科技大学 传感器重点实验室，北京100101
中图分类号：TP212.2；X832    
文献标识码：A    
文章编号：1006-883X(2017)12-0017-07
收稿日期：2017-11-19

摘要：中国工业快速发展伴随而来的水质重金属污染问题正日益影响着人们的正常生活，寻求快速准确的水质重金属检测方法是十分迫切的。众多水质检测传感器中，电化学传感器具有检测灵敏、操作简单、成本低、便携等优势，在水质重金属检测领域占据了十分重要地位，拥有广阔的前景。本文重点介绍了用于水质重金属检测的几种电化学传感器，包括它们的构造、分类及其检测原理。并对应用于水质重金属检测的电流型电化学传感器和电位型电化学传感器进行了详细说明，介绍了阳极溶出伏安法和离子选择性电极法在内的几种电化学分析方法，以及近年来相关研究的现状。
关键词：电化学传感器；水质重金属检测；电化学分析方法

Application of electrochemical sensors in heavy metal detection
SONG Yi-ran1, HU Jing-fang2, ZOU Xiao-ping2, GAO Guo-wei1, 2
1. Institute of Automation, Beijing Information Science & technology University, Beijing 100192, China; 2. Key laboratory of information acquisition & detection, Beijing Information Science & Technology University, Beijing 100101, China
Abstract: With the rapid development of Chinese industry, the problem of heavy metal pollution in water is increasingly affecting peoples normal life. It is very urgent to seek fast and accurate methods for detection of heavy metals in water. Among the water quality monitoring sensors, electrochemical sensor plays an important role in the detection field of heavy metal in water with the advantages of sensitive detection, simple operation and low cost, and has a broad prospect. Several electrochemical sensors for the detection of heavy metals in water are focused on in this paper, including their structures, classification and detection principles. The current electrochemical sensors and potential electrochemical sensors used in the detection of heavy metals in water are introduced in detail. Several electrochemical analysis methods, including anodic stripping voltammetry and ion selective electrode method, are introduced. The brief introductions of related researches in recent years are also presented.
Key words: electrochemical sensor; detection of heavy metals in water; electrochemical analysis method

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备注：2017年 第23卷 第12期