基于局域表面等离子体共振效应的农药残留检测光学生物传感界面研究

项目名称： 基于局域表面等离子体共振效应的农药残留检测光学生物传感界面研究

项目编号： No.61304245

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 谭文斌

作者单位： 天津商业大学

项目金额： 27万元

中文摘要： 目前农药残留已成为最大的食品安全隐患之一，对农产品中残留农药进行精确、快速和低成本检测不仅对我国农产品出口贸易具有重要意义，而且为人类健康和生命安全提供重要保障。而现有农药残留检测方法具有前处理复杂、检测时间长、成本高等缺点，本项目针对这些问题，提出采用基于局域表面等离子体共振效应的光学生物传感方法，根据不同种类农药设计不同的纳米结构，以获得最优灵敏度和探测极限；根据农药的物理化学特性，匹配适合的生物识别元件（酶、抗体和人工受体）和固化方法，实现最优的结合力、稳定性、选择性和较低的成本。本项目的研究成果将为新型实时在线农药残留检测仪器的研制提供理论依据和技术基础。

中文关键词： 局域表面等离子体共振；农药残留；壳状结构；对称性破缺；Fano共振

英文摘要： At present，pesticide residues has become one of the largest food safety hazards，and the precise, fast and low-cost detection of pesticide residues in agricultural products not only has great significance in the export of agricultural products in China, but also provide an important protection for human health and life safety.However,the current detection methods of pesticide residues have many shortcomings such as complex pre-processing,long time,high cost and so on, the project aiming at these issues proposed the optical biosensing means based on localized surface plasmon resonance,devising different nanostructures for a considerable variety of pesticides to acquire optimal sensitivity and the limit of detection;According to the physical and chemical properties of the pesticide,we selected best biological recognition elements (enzymes,antibodies,artificial receptors )and immobilized methods in order to get the best combination , stability, selectivity, and low-cost.The research results of the project will be offer for the development of novel real-time pesticide residues testing instruments theoretical and technical basis.

英文关键词： local surface plasmon resonance (LSPR)；pesticide residue；nanoshells；symmetry breaking；Fano resonances