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利用 SERS 对未知复杂体系中的痕量化学物质进行定量分析。

Quantification of trace chemicals in unknown complex systems by SERS.

机构信息

State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, PR China.

High-Tech Institute of Xi'an, Shanxi 710025, PR China.

出版信息

Talanta. 2018 Aug 15;186:452-458. doi: 10.1016/j.talanta.2018.04.095. Epub 2018 May 1.

DOI:10.1016/j.talanta.2018.04.095
PMID:29784387
Abstract

The chemical quantitative analysis at trace level has been widely explored by means of various techniques. While it still remains challenging to achieve ultrasensitive but facile, rapid, and inexpensive detection methods. In this paper, the possibility of employing surface-enhanced Raman scattering technique on a portable Raman system for rapid and accurate quantitative analysis of target chemicals in unknown systems was investigated. This detection approach contains 3 steps: (1) adding target chemicals with different amount to the initial unknown solution, leading to new solutions with target molecules of various concentrations; (2) Obtaining different samples' SERS spectra and capturing featured SERS peaks whose intensity grew up with the addition of target chemicals; (3) examining the relationship between featured peak intensity increment after adding target chemicals and its corresponding addition amount, and thus we could perform quantitative analysis of the chemical in an unknown solution and obtain its initial concentration. The validity of this method was systematically demonstrated by estimating the concentrations of 2-Naphthalenethiol (2-NaT) and 4-Mercaptopyridine (4-MPY) both in their single-component solutions and binary solutions, respectively. Predictions are close to their real values. Furthermore, we successfully predicted the concentrations of malachite green (MG) in fish water and benzidine in ground water. This study clearly demonstrates an accurate and facile approach to calculate the concentration of target chemicals in unknown systems, which fully exploit the potential of SERS quantitative analysis.

摘要

痕量化学定量分析已经通过各种技术得到了广泛的探索。虽然实现超灵敏但简便、快速和廉价的检测方法仍然具有挑战性。在本文中,研究了在便携式拉曼系统上利用表面增强拉曼散射技术对未知系统中目标化学物质进行快速准确定量分析的可能性。这种检测方法包含 3 个步骤:(1)向初始未知溶液中加入不同量的目标化学物质,得到目标分子浓度不同的新溶液;(2)获得不同样品的 SERS 光谱,并捕捉特征 SERS 峰,其强度随着目标化学物质的加入而增加;(3)检查加入目标化学物质后特征峰强度的增加与相应加入量之间的关系,从而可以对未知溶液中的化学物质进行定量分析并获得其初始浓度。通过分别估算 2-萘硫醇(2-NaT)和 4-巯基吡啶(4-MPY)在其单一组分溶液和二元溶液中的浓度,系统地证明了该方法的有效性。预测值与真实值非常接近。此外,我们成功预测了鱼水中孔雀石绿(MG)和地下水中联苯胺的浓度。这项研究清楚地表明了一种准确且简便的方法来计算未知系统中目标化学物质的浓度,充分利用了 SERS 定量分析的潜力。

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