Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering.
Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering.
复制标题
利用表面增强拉曼散射检测废水中的抗生素。
DOI：
10.1021/acs.est.3c00027
复制
发表时间：
2023-03-28
影响因子：
11.4
通讯作者：
Jiang, Sunny
中科院分区：
文献类型：
--
作者：
Huang, Yen-Hsiang;Wei, Hong;Santiago, Peter J.;Thrift, William John;Ragan, Regina;Jiang, Sunny
快速和经济有效地检测废水中和废水处理过程中的抗生素，是制定有效战略消除抗生素的重要第一步。表面增强拉曼散射(SERS)具有无标记、实时检测环境中抗生素污染的潜力。这项研究报告了两种金纳米结构作为SERS底物的测试，用于无标记检测喹啉，一种常见于废水中的小分子抗生素。结果表明，自组装的SERS底物能够定量测定废水中的喹啉，检测下限为5.01 ppb。SERStrate(带有金纳米柱的商用SERS底物)对纯水(LOD为1.15 ppb)中的喹啉定量具有类似的灵敏度，但由于废水中非目标分子的干扰，SERStrate对废水中的喹啉定量(LOD为97.5 ppm)表现不佳。基于机器学习算法构建的模型可以在一定程度上提高喹啉拉曼光谱与干扰分子光谱的分离和识别，但SERS增强的选择性对实现目标分析物的识别和定量更为关键。这项研究的结果为SERS在环境污染物的无标签传感中的应用提供了概念验证。有必要进行进一步的研究，将这一概念转化为环境监测的实用技术。本研究证明了利用表面增强拉曼散射技术快速检测废水中的小分子抗生素喹啉。
Rapid and cost-effective detection of antibiotics in wastewater and through wastewater treatment processes is an important first step in developing effective strategies for their removal. Surface-enhanced Raman scattering (SERS) has the potential for label-free, real-time sensing of antibiotic contamination in the environment. This study reports the testing of two gold nanostructures as SERS substrates for the label-free detection of quinoline, a small-molecular-weight antibiotic that is commonly found in wastewater. The results showed that the self-assembled SERS substrate was able to quantify quinoline spiked in wastewater with a lower limit of detection (LoD) of 5.01 ppb. The SERStrate (commercially available SERS substrate with gold nanopillars) had a similar sensitivity for quinoline quantification in pure water (LoD of 1.15 ppb) but did not perform well for quinoline quantification in wastewater (LoD of 97.5 ppm) due to interferences from non-target molecules in the wastewater. Models constructed based on machine learning algorithms could improve the separation and identification of quinoline Raman spectra from those of interference molecules to some degree, but the selectivity of SERS intensification was more critical to achieve the identification and quantification of the target analyte. The results of this study are a proof-of-concept for SERS applications in label-free sensing of environmental contaminants. Further research is warranted to transform the concept into a practical technology for environmental monitoring. This study demonstrates the rapid detection of quinoline, a small-molecular-weight antibiotic, in wastewater using surface-enhanced Raman scattering.
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