In this article, we propose a new strategy to build a sensor for easy handling and rapid analysis on-site. Our sensor is based on the combination of surface-enhanced Raman spectroscopy (SERS) and molecularly imprinted polymers (MIPs). SERS provides a strong sensitivity for the detection of trace molecules while MIPs offer a highly selective and specific recognition platform. The research presented here focuses on the detection of the interaction between a robust ultra-thin layer of MIPs and of paracetamol, the targeted molecule. This drug is an environmental emerging pollutant, i.e., a molecule whose presence and significance have not yet been elucidated, which gives rise to health and environmental concerns. The results are a combined analysis of the SERS spectra and a multivariate analysis. The former provides a clear demonstration of the evolution of the MIP-nanostructure interaction when the concentration of paracetamol increases. The statistical analysis produces the proof of the selectivity of the sensor.

中文翻译：

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基于独立成分分析的SERS-MIP纳米传感器传感聚合物/对乙酰氨基酚相互作用

在本文中，我们提出了一种构建传感器的新策略，以便于现场轻松处理和快速分析。我们的传感器基于表面增强拉曼光谱（SERS）和分子印迹聚合物（MIP）的组合。SERS为痕量分子的检测提供了强大的灵敏度，而MIP提供了高度选择性和特异性的识别平台。此处提出的研究重点是检测MIP的坚固超薄层与目标分子扑热息痛之间的相互作用。该药物是环境中新兴的污染物，即尚未阐明其存在和重要性的分子，这引起了对健康和环境的关注。结果是SERS光谱和多元分析的组合分析。前者提供了对乙酰氨基酚浓度增加时MIP-纳米结构相互作用演变的清晰证明。统计分析产生了传感器选择性的证明。