Fabre Victor, Carcenac Franck, Laborde Adrian, Doucet Jean-Baptiste, Vieu Christophe, Louarn Philippe, Trevisiol Emmanuelle
LAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
IRAP CNRS Université de Toulouse CNES Toulouse France.
Anal Sci Adv. 2025 Feb 25;6(1):e202400013. doi: 10.1002/ansa.202400013. eCollection 2025 Jun.
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.
一种将(1)表面增强拉曼光谱(SERS)和(2)超疏水表面相结合的特定装置被开发出来,用于检测水溶液中亚飞摩尔浓度稀释的痕量分析物。分析的第一步是将一滴溶液蒸发在该装置上,该装置旨在将所有分析物浓缩在一个中心功能化的小区域(直径80微米)上。这个分析区域覆盖有用于增强拉曼信号的银纳米颗粒。第二步,逐像素扫描该区域以积累约2200个拉曼光谱。第三步是对光谱堆进行算法分析,以识别目标分子特有的拉曼峰。我们详细介绍了一种原始分析方法,该方法允许(1)选择与纯溶剂蒸发时获得的光谱有显著差异的光谱(对照实验),(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。该方法使用层次相关聚类技术,其独特之处在于根据光谱的峰位置对不同光谱进行分类,所有峰都在相同强度和带宽下进行归一化。该方法能够令人信服地识别目标分子(即罗丹明B)的光谱,检测限低至阿托摩尔浓度。