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一种表面增强拉曼散射定量分析平台,用于检测痕量 Cu,该平台结合了无标记维多利亚蓝 B 分子探针的催化反应和金纳米颗粒聚集。

A surface enhanced Raman scattering quantitative analytical platform for detection of trace Cu coupled the catalytic reaction and gold nanoparticle aggregation with label-free Victoria blue B molecular probe.

机构信息

Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection of Ministry Education, Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guangxi Normal University, Guilin 541004, China.

Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection of Ministry Education, Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guangxi Normal University, Guilin 541004, China.

出版信息

Biosens Bioelectron. 2017 Jan 15;87:888-893. doi: 10.1016/j.bios.2016.09.053. Epub 2016 Sep 16.

Abstract

With development of economy and society, there is an urgent need to develop convenient and sensitive methods for detection of Cu pollution in water. In this article, a simple and sensitive SERS sensor was proposed to quantitative analysis of trace Cu in water. The SERS sensor platform was prepared a common gold nanoparticle (AuNP)-SiO sol substrate platform by adsorbing HSA, coupling with the catalytic reaction of Cu-ascorbic acid (HA)-dissolved oxygen, and using label-free Victoria blue B (VBB) as SERS molecular probes. The SERS sensor platform response to the AuNP aggregations by hydroxyl radicals (•OH) oxidizing from the Cu catalytic reaction, which caused the SERS signal enhancement. Therefore, by monitoring the increase of SERS signal, Cu in water can be determined accurately. The results show that the SERS sensor platforms owns a linear response with a range from 0.025 to 25μmol/L Cu, and with a detection limit of 0.008μmol/L. In addition, the SERS method demonstrated good specificity for Cu, which can determined accurately trace Cu in water samples, and good recovery and accuracy are obtained for the water samples. With its high selectivity and good accuracy, the sensitive SERS quantitative analysis method is expected to be a promising candidate for determining copper ions in environmental monitoring and food safety.

摘要

随着经济和社会的发展,迫切需要开发用于检测水中 Cu 污染的便捷、灵敏的方法。本文提出了一种简单、灵敏的 SERS 传感器,用于水中痕量 Cu 的定量分析。该 SERS 传感器平台通过吸附 HSA 制备了常见的金纳米颗粒(AuNP)-SiO 溶胶基底平台,与 Cu-抗坏血酸(HA)-溶解氧的催化反应相耦合,并使用无标记维多利亚蓝 B(VBB)作为 SERS 分子探针。SERS 传感器平台对 Cu 催化反应产生的羟基自由基(•OH)氧化引起的 AuNP 聚集做出响应,从而增强了 SERS 信号。因此,通过监测 SERS 信号的增加,可以准确测定水中的 Cu。结果表明,该 SERS 传感器平台对 Cu 的线性响应范围为 0.025 至 25μmol/L,检测限为 0.008μmol/L。此外,SERS 法对 Cu 具有良好的特异性,可准确测定水样中的痕量 Cu,且对水样的回收率和准确性均较好。该敏感的 SERS 定量分析方法具有高选择性和良好的准确性,有望成为环境监测和食品安全中测定铜离子的有前途的候选方法。

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