摘要
基于L-半胱氨酸(L-Cys)和三磷酸腺苷(ATP)功能化的纳米银(AgNPs)建立了一种检测环境水样中Hg^(2+)的比色方法。L-Cys和ATP共同修饰的AgNPs(ATP-L-Cys-AgNPs),在水溶液中分散性良好,经紫外-可见光谱扫描显示在386 nm处有强吸收峰。在pH 9.5条件下,Hg^(2+)可与ATP-L-Cys-AgNPs发生配位反应,导致功能化AgNPs聚集,溶液由亮黄色转变为紫色,在554 nm处出现新的吸收峰,同时伴随着386 nm处吸收值下降。在最佳实验条件下,体系386 nm和554 nm处吸光度比值A386nm/A554nm的变化与Hg^(2+)浓度在1.3×10^(-7)~1.0×10^(-6)mol·L^(-1)范围内成线性关系,线性回归方程为ΔA386nm/A554nm=0.39c(0.1μmol·L^(-1))+0.86,相关系数r=0.9982,检出限为4.0×10-8 mol·L^(-1)。该方法简便、快捷、准确,可用于环境水样中Hg^(2+)含量的检测。
In this work,a new colorimetric strategy for the determination of Hg^(2+)in environmental water samples was proposed based on L-Cys and ATP functionalized silver nanoparticles(ATP-L-Cys-AgNPs).The prepared ATP-L-Cys-AgNPs had good dispersibility in aqueous solution and the ultraviolet-visible spectrum scan showed a strong absorption peak at 386 nm.In the presence of Hg^(2+),ATP-L-Cys-AgNPs exhibited a state change from dispersed to aggregated in pH 9.5 Tris-HAc buffer due to the special and strong coordination between ATP-L-Cys-AgNPs and Hg^(2+),the absorption peak at 386 nm decreased gradually and a new absorption peak at 554 nm correspondingly increased,and the color turned from bright yellow to red brown.Under the optimized conditions,the concentration of Hg2+in the range of 1.3×10^(-7)~1.0×10^(-6)mol·L^(-1)showed a good linear relationship with the change of the ratio of A386nm/A554nm of ATP-L-Cys-AgNPs.The regression equation wasΔA386nm/A554nm=0.39c(0.1μmol·L^(-1))+0.86,r=0.9982.The limit of detection(LOD)was 40 nM.The method also showed good precision and high repeatability in determining Hg^(2+)in real water samples such as pond water,tap water and river water.
作者
胡聪聪
樊鹏飞
刘璨
陈薇
刘金权
程健琳
肖福兵
杨胜园
HU Cong-cong;FAN Peng-fei;LIU Can;CHEN Wei;LIU Jin-quan;CHENG Jian-lin;XIAO Fu-bing;YANG Sheng-yuan(College of Public Health,University of South China,Hengyang 421001,China;Key Laboratory of Hengyang for Health Hazard Factors Inspection and Quarantine,Hengyang 421001,China)
出处
《化学研究与应用》
CAS
CSCD
北大核心
2021年第6期1181-1185,共5页
Chemical Research and Application
基金
国家自然科学基金项目(11205085)资助
湖南省自然科学基金面上项目(2018JJ2323)资助
湖南省教育厅项目(16C1388,19B481)资助
湖南省衡阳市重点实验室项目(2018KJ110)资助。