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A simple filter-based approach to surface enhanced Raman spectroscopy for trace chemical detection

机译:基于滤光片的表面增强拉曼光谱的简单方法,用于痕量化学检测

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摘要

We demonstrate an extremely simple and practical surface enhanced Raman spectroscopy (SERS) technique for trace chemical detection. Filter membranes first trap silver nanoparticles to form a SERS-active substrate and then concentrate analytes from a mL-scale sample into a μL-scale detection volume. We demonstrate a significant improvement in detection limit as compared to colloidal SERS for the pesticide malathion and the food contaminant melamine. The measured SERS intensity exhibits low variation relative to traditional SERS techniques, and the data can be closely fit with a Langmuir isotherm. Thus, due to the simple procedure, the low-cost of the substrates, the quantitative results, and the performance improvement due to analyte concentration, our technique enables SERS to be practical for a broad range of analytical applications, including field-based detection of toxins in large-volume samples. This journal is
机译:我们展示了一种用于痕量化学检测的极其简单实用的表面增强拉曼光谱(SERS)技术。滤膜首先捕获纳米银颗粒以形成具有SERS活性的底物,然后将毫升级样品中的分析物浓缩到微升级检测体积中。我们证明了与马拉硫磷和食品污染物三聚氰胺的胶体SERS相比,检出限有明显提高。相对于传统SERS技术,测得的SERS强度显示出较低的变化,并且数据可以与Langmuir等温线紧密拟合。因此,由于操作简单,底物的低成本,定量结果以及分析物浓度的提高,我们的技术使SERS在广泛的分析应用中都具有实用性,包括基于现场的检测大量样品中的毒素。这本日记是

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