基于银染放大和图像分析的高灵敏铅离子检测  

Highly Sensitive Lead Ion Detection Based on Silver Staining Amplification and Image Analysis

作　　者：李甜 陈菲 卢萍 付瑶 张莉萍 LI Tian;CHEN Fei;LU Ping;FU Yao;ZHANG Liping(School of Basic Medical Sciences,Henan University of Science and Technology,Luoyang 471023)

机构地区：[1]河南科技大学基础医学院,河南洛阳471023

出　　处：《分析科学学报》2023年第4期469-473,共5页Journal of Analytical Science

基　　金：河南省自然科学基金青年基金(202300410145);河南科技大学博士启动基金(13480042);河南省科技攻关计划(212102311038);国家级大学生创新创业训练计划(202210464053)。

摘　　要：构建了一种基于银染放大和图像分析的高灵敏铅离子检测方法。采用双硫腙溶液处理尼龙膜制备检测试纸。试纸上的双硫腙可捕获溶液中的Pb^(2+),并进一步与Na_(2)S反应生成PbS,PbS催化随后的银染反应,实现信号放大。用扫描仪扫描试纸,通过软件分析图像的灰度值,可实现Pb^(2+)的定量检测。考察了膜种类、溶液pH和银染条件的影响,在优化的检测条件下,试纸的灰度值与Pb^(2+)浓度的对数呈良好的线性关系(相关系数R^(2)=0.994),检出限为13.2 nmol/L(0.0027 mg/L),灵敏度可满足饮用水质检测要求。利用本法对Pb^(2+)加标的自来水样品进行分析,1μmol/L和10μmol/L Pb^(2+)的回收率分别为92.2%和96.0%,相对标准偏差(RSD,n=3)为6.1%和5.3%。该方法可用于实际水样中Pb^(2+)的分析。A highly sensitive Pb^(2+) sensor based on silver staining amplification and image analysis was constructed.The sensory paper was prepared by applying dithizone solution onto the nylon film.Dithizone reacted and captured Pb^(2+) in the sample solution,and subsequently the captured Pb^(2+) reacted with Na_(2)S to form PbS,which can catalyze the silver deposition on the nylon film to realize signal amplification.The greyscales produced by silver staining was measured by a scanner to realize the quantitative detection of Pb^(2+).The effects of film type,solution pH and silver staining conditions were investigated to optimize the detection.Under the optimized detection conditions,the greyscale and the logarithm of Pb^(2+) concentration showed a good linear relationship(R^(2)=0.994)with the detection limit of 13.2 nmol/L(0.0027 mg/L),which can meet the requirements for Pb^(2+) detection in drinking water.The spike recovery(n=3)of Pb^(2+) in tap water was found to be 92.2%for 1μmol/L and 96.0%for 10μmol/L with the standard deviation of 6.1%and 5.3%,respectively,showing that this method has the potential for Pb^(2+) detection in real sample.

关 键 词：银染放大 图像分析 铅离子 双硫腙 

分 类 号：O661.1[理学—分析化学]