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基于 SERS 的方法定量水样中超痕量氧化石墨烯。

SERS-Based Methodology for the Quantification of Ultratrace Graphene Oxide in Water Samples.

机构信息

Department of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.

Department of Organic Chemistry, Faculty of Science and Chemistry Technologies, University of Castilla-La Mancha (UCLM), 13071 Ciudad Real, Spain.

出版信息

Environ Sci Technol. 2022 Jul 5;56(13):9527-9535. doi: 10.1021/acs.est.2c00937. Epub 2022 Jun 14.

Abstract

The extensive use of graphene materials in real-world applications has increased their potential release into the environment. To evaluate their possible health and ecological risks, there is a need for analytical methods that can quantify these materials at very low concentrations in environmental media such as water. In this work, a simple, reproducible, and sensitive method to detect graphene oxide (GO) in water samples using the surface-enhanced Raman spectroscopy (SERS) technique is presented. The Raman signal of graphene is enhanced when deposited on a substrate of gold nanoparticles (AuNPs), thus enabling its determination at low concentrations with no need for any preconcentration step. The practical limit of quantification achieved with the proposed method was 0.1 ng mL, which is lower than the predicted concentrations for graphene in effluent water reported to date. The optimized procedure has been successively applied to the determination of ultratraces of GO in water samples.

摘要

石墨烯材料在实际应用中的广泛使用增加了它们潜在释放到环境中的可能性。为了评估它们可能对健康和生态的风险,需要能够在水环境等环境介质中对这些材料进行非常低浓度定量分析的方法。在这项工作中,提出了一种使用表面增强拉曼光谱(SERS)技术检测水样中氧化石墨烯(GO)的简单、可重复、灵敏的方法。当石墨烯沉积在金纳米粒子(AuNPs)的基底上时,其拉曼信号得到增强,从而可以在无需任何预浓缩步骤的情况下,在低浓度下进行测定。该方法的实际定量下限为 0.1ng/mL,低于迄今为止报道的废水中石墨烯的预测浓度。优化后的程序已成功应用于水样中超痕量 GO 的测定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec3/9261266/e4c3f4872364/es2c00937_0002.jpg

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