首页> 外文期刊>Journal of Food Measurement and Characterization >Detection of herbicides in drinking water by surface-enhanced Raman spectroscopy coupled with gold nanostructures.
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Detection of herbicides in drinking water by surface-enhanced Raman spectroscopy coupled with gold nanostructures.

机译:通过表面增强拉曼光谱结合金纳米结构检测饮用水中的除草剂。

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摘要

This study aimed to use surface-enhanced Raman spectroscopy (SERS) to detect herbicide residues (atrazine and arsenic trioxide) in drinking water. Gold-coated nanosubstrates were used in the SERS measurements to acquire enhanced Raman signals of herbicides in drinking water. Compared with the control, characteristic patterns of SERS spectra were distinguishable for atrazine at 3 ppb and arsenic trioxide at 1 ppb. Partial least squares analysis was used to develop quantitative models for detection of two herbicides in drinking water and calibration curves were plotted with R2 of 0.988 and 0.991 for atrazine and arsenic trioxide, respectively. The study of limit of detection (LOD) demonstrates that at 99.86 % confidence interval, SERS can detect both herbicides at 0.1 ppm in drinking water. Satisfactory recoveries were obtained for samples with concentration at and higher than the LOD (92.3-119.3 % for atrazine and 88.2-102.1 % for arsenic trioxide). These results demonstrate that SERS coupled with gold nanostructures holds great potential for rapid detection of herbicide residues and other chemical contaminants in drinking water
机译:这项研究旨在使用表面增强拉曼光谱(SERS)来检测饮用水中的除草剂残留(阿特拉津和三氧化二砷)。镀金的纳米底物用于SERS测量中,以获取饮用水中除草剂的增强拉曼信号。与对照相比,阿特拉津3 ppb和三氧化二砷1 ppb时,SERS光谱的特征图谱很明显。采用偏最小二乘分析法建立了饮用水中两种除草剂检测的定量模型,并绘制了r去津和三氧化二砷的R 2 分别为0.988和0.991的校正曲线。对检测限(LOD)的研究表明,在置信区间为99.86%的情况下,SERS可以在饮用水中检测出0.1 ppm的两种除草剂。浓度达到或高于LOD(阿特拉津为92.3-119.3%,三氧化二砷为88.2-102.1%)时,样品的回收率令人满意。这些结果表明,SERS结合金纳米结构在快速检测饮用水中除草剂残留物和其他化学污染物方面具有巨大潜力

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