具有普适性的表面增强拉曼光谱定量分析技术的研究

项目名称： 具有普适性的表面增强拉曼光谱定量分析技术的研究

项目编号： No.21275046

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 数理科学和化学

项目作者： 陈增萍

作者单位： 湖南大学

项目金额： 80万元

中文摘要： 由于难以获得重现性和稳定性好的增强基底，表面增强拉曼光谱（SERS）目前仅属于定性或半定量分析技术，尚未成为一项成熟的定量分析技术。本项目拟发展和完善SERS定量分析技术，包括：1）弄清SERS基底的物理性质（如：银、金纳米粒子形状、粒径、聚集度等）和激光光源变化对待测物质SERS信号的影响，建立新型SERS光谱定量分析模型；2）发展SERS定量分析新策略，消除SERS基底物理性质和激光光源变化对SERS定量分析结果的影响；3）在SERS定量分析新理论的指导下设计和制备具有准确定量分析功能的SERS基底。本课题的最终研究成果将能够提高SERS技术的普适性及其定量分析结果的精确度，突破传统SERS技术基本上只能进行定性和半定量分析的限制，将其提升为能进行准确定量分析的高检测灵敏度的光谱分析技术，为生物医学、食品安全以及环境保护等研究领域提供重要的定量检测工具，为我国经济建设和社会发展服务。

中文关键词： 表面增强拉曼光谱；定量分析；SERS定量分析模型；乘子效应；

英文摘要： Due to the challenges of preparing highly stable and reproducible enhancing media, surface-enhanced Raman spectroscopy (SERS) is primarily a qualitative or semi-quantitative analytical technique, has not yet been adopted as a routine quantitative method. This proposal aims to develop quantitative SERS technique, which includes: 1) investigating the effects of the physical properties of SERS enhancing media (such as the particle size, shape and degree of aggregation of gold and silver nanoparticles) and the laser excitation power and focusing position on the SERS signal of target analytes, and deriving advanced quantitative SERS analysis model from the obtained results; 2) formulating new quantitative SERS analysis strategy based on the established quantitative SERS analysis model to eliminate the detrimental multiplicative effects caused by the variations in the physical properties of SERS enhancing media and the laser excitation power and focusing position on the SERS signal of target analytes; 3) designing and producing SERS enhancing media with quantitative capability under the theoretical guidance of the advanced quantitative SERS analysis model and the new quantitative SERS analysis strategy. The most significant contributions from this research will be to greatly improve the quantitative accuracy of SERS t

英文关键词： Surface-enhanced Raman spectroscopy；Quantitative analysis；Quantitative SERS model；Multiplicative effects；