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SERS 作为环境科学中的分析工具:通过应用微流控芯片装置在纳摩尔范围内检测磺胺甲恶唑。

SERS as an analytical tool in environmental science: The detection of sulfamethoxazole in the nanomolar range by applying a microfluidic cartridge setup.

机构信息

Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Helmholtzweg 4, D-07743 Jena, Germany.

Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.

出版信息

Anal Chim Acta. 2017 Jan 1;949:1-7. doi: 10.1016/j.aca.2016.10.009. Epub 2016 Oct 14.

DOI:10.1016/j.aca.2016.10.009
PMID:27876141
Abstract

Sulfamethoxazole (SMX) is a commonly applied antibiotic for treating urinary tract infections; however, allergic reactions and skin eczema are known side effects that are observed for all sulfonamides. Today, this molecule is present in drinking and surface water sources. The allowed concentration in tap water is 2·10 mol L. SMX could unintentionally be ingested by healthy people when drinking contaminated tap water, representing unnecessary drug intake. To assess the quality of tap water, fast, specific and sensitive detection methods are required, in which consequence measures for improving the purification of water might be initiated in the short term. Herein, the quantitative detection of SMX down to environmentally and physiologically relevant concentrations in the nanomolar range by employing surface-enhanced Raman spectroscopy (SERS) and a microfluidic cartridge system is presented. By applying surface-water samples as matrices, the detection of SMX down to 2.2·10 mol L is achieved, which illustrates the great potential of our proposed method in environmental science.

摘要

磺胺甲恶唑(SMX)是一种常用于治疗尿路感染的抗生素;然而,所有磺胺类药物都有已知的副作用,包括过敏反应和皮肤湿疹。如今,这种分子存在于饮用水和地表水水源中。自来水中允许的浓度为 2.10 mol/L。当健康人饮用受污染的自来水时,SMX 可能会无意中被摄入,这代表了不必要的药物摄入。为了评估自来水的质量,需要快速、特异和敏感的检测方法,因此可以在短期内采取措施改善水的净化。本文介绍了通过表面增强拉曼光谱(SERS)和微流控芯片系统,在环境和生理相关的纳摩尔浓度范围内对 SMX 进行定量检测的方法。通过应用地表水样本作为基质,实现了对 SMX 的检测,浓度低至 2.2×10 -6 mol/L,这说明了我们提出的方法在环境科学中的巨大潜力。

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