基于双酚A含量检测的微流控表面增强拉曼光谱研究

Currently, the traditional chromatography method is applied to analyze the trace amount of bisphenol A. However, the analytical process is complicated and time consuming. Therefore, it is necessary to develop a rapid, effective and highly sensitive analytical method. This proposal is to prepare surface enhanced Raman scattering (SERS) substrate using the colloidal Nano gold, molecular assembly as well as the decoration with a bio-sensitive film layer. Meanwhile, with the micro-fluidic channels, a rapid, highly sensitive, highly selective SERS analytical method is developed to determine the trace amount of bisphenol A under a multi-component condition. Furthermore, to explore the effect of the dimension of micro-fluidic channels, size of colloidal Nano gold as well as its distribution on substrate on the performance of micro-fluidic based SERS system. In addition, to investigate the property of this micro-fluidic based SERS system such as without sample pre-treatment, real time detection, high-throughput and chip reusable. The results of this proposal could be able to provide a method to design novel micro-fluidic based SERS system and to quantify the concentrations of other many kinds of trace amount of environmental endocrine pollutants under a multi-component condition.

目前，对双酚A的痕量分析检测仍多采用传统的色谱方法。其检测过程繁琐，检测时间较长。因此，有必要研究快速、高效、高灵敏度的分析检测方法。本项目拟采用化学合成方法制备金纳米粒子，利用分子自组装、修饰生物敏感膜等方法制成表面增强拉曼基底。同时，结合微流控通道器件制成快速、高灵敏、高特异性的表面增强拉曼微流控芯片系统，用于检测复杂组分条件下痕量双酚A的含量。探讨微流控通道器件通道尺寸、金纳米粒子粒径大小及在基底表面分布情况等影响表面增强拉曼微流控芯片系统检测性能的规律。研究表面增强拉曼微流控芯片系统在检测样品过程中无需样品预处理、可实时在线检测、可多通道检测、可重复使用等性质。本项目研究可为将来设计和制造高效、高灵敏、高选择性的表面增强拉曼微流控芯片系统提供新材料和新技术途径，推动实现该技术用于各种痕量环境激素污染物分析检测研究进程。

完成了项目相关的理论研究包括：利用时域有限差分法 (FDTD, Finite Difference Time Domain)仿真优化了SERS纳米结构的参数，并拓展研究了包括改进偏最小二乘法和基因遗传的拉曼光谱的基线矫正算法。采用化学合成和自组装的方法制备了SERS基底；利用微纳加工和镀膜的方法制备了双金属协同增强SERS基底；结合模板复制和镀膜的方法制备了PDMS柔性SERS基底。分别对上述三种基底进行了理化参数的表征及其SERS性能进行研究。其中双金属SERS基底对双酚A含量检测限达0.5ppm。搭建了微流控拉曼光谱检测系统，并利用流动型纳米颗粒SERS器件初步进行了分析检测研究。同时，研究成果发表SCI论文8篇，申请国家发明专利 5 项，其中获得授权3项。