A new methodology for sub-femtomolar detection of organic molecules through the combination of surface-enhanced Raman spectroscopy and a superhydrophobic fluidic concentrator

IF 3 Q2 CHEMISTRY, ANALYTICAL
Victor Fabre, Franck Carcenac, Adrian Laborde, Jean-Baptiste Doucet, Christophe Vieu, Philippe Louarn, Emmanuelle Trevisiol
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Abstract

A specific device that combines (1) surface-enhanced Raman spectroscopy (SERS) and (2) superhydrophobic surfaces is developed to detect traces of analytes diluted at sub-femtomolar concentration in water solutions. The first step of the analysis consists in the evaporation of a drop of the solution on the device, designed to concentrate all the analytes on a central functionalized small area (80 µm diameter). This analytical zone is covered with Ag nanoparticles dedicated to enhance Raman signals. In a second step, this zone is scanned pixel by pixel to accumulate around 2200 Raman spectra. The third step is an algorithmic analysis of the pile of spectra to identify Raman peaks that are specific to the targeted molecules. We detail an original analysis method that allows (1) to select spectra that are significantly different from those obtained when a pure solvent is evaporated (control experiment), (2) to classify the spectra by a criterion of similarity and, finally, (3) to select the SERS spectra of the analytes. This method uses hierarchical correlation clustering techniques, the originality being to classify the different spectra on the basis of their peak positions, with all peaks being normalized at the same intensity and bandwidth. The method leads to a convincing identification of spectra of the targeted molecules (i.e. rhodamine B), down to atto-molar concentrations.

Abstract Image

一种结合表面增强拉曼光谱和超疏水流体浓缩器的亚飞摩尔有机分子检测新方法
开发了一种结合了(1)表面增强拉曼光谱(SERS)和(2)超疏水表面的特殊装置,用于检测水溶液中亚飞摩尔浓度稀释的痕量分析物。分析的第一步包括在设备上蒸发一滴溶液,旨在将所有分析物集中在中心功能化的小区域(直径80 μ m)上。该分析区覆盖有银纳米粒子,用于增强拉曼信号。在第二步中,对该区域逐像素扫描,以累积约2200个拉曼光谱。第三步是对光谱堆进行算法分析,以识别特定于目标分子的拉曼峰。我们详细介绍了一种原始分析方法,该方法允许(1)选择与纯溶剂蒸发(对照实验)时获得的光谱有明显不同的光谱,(2)根据相似性标准对光谱进行分类,最后(3)选择分析物的SERS光谱。该方法采用层次相关聚类技术,其创新之处在于根据光谱的峰位置对不同光谱进行分类,并在相同的强度和带宽下对所有光谱进行归一化处理。该方法可对目标分子(如罗丹明B)的光谱进行令人信服的鉴定,精确到阿托摩尔浓度。
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CiteScore
4.60
自引率
0.00%
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