大鼠体内有机磷农药残留活体监测及在线代谢转化规律研究

In this project, microdialysis sampline-in vivo analysis will be combined with molecular imprinting technology (MIT)-electrochemical sensing for detection of the organophosphorus pesticides residues and the investigation their metabolic mechanism. It will also supply an effective sampling method for the pesticide monitoring in single rat during a long time. Through the molecular design, the parathion will be used as the template molecule to synthesize the molecular imprinting polymers (MIPs) with good sensitivity. The MIPs as the recognition, the MIPs-chemical sensing system will be constructed combining with different kinds of transfers. Coupled microdialysis sampling with-electrochemical sensing, we can achieve the rapid, online and continuous determination for the pesticides with sensitivity and selectivity. In addition, with the separation and determination of organic phosphorus pesticides and their metabolites by the technologies of LC-MS and GC-MS, a scientific method will be achieved for the further research of the adsorption, distribution and the metabolic dynamics. It will also provide an theory evidence and effective direction for the evaluation for human health and environmental pollution.

本项目中，我们创新性地采用微渗析活体取样-在线检测技术与分子印迹-电化学传感技术相结合，开展有关活体动物体内有机磷农药残留在体监测及其代谢状况研究，为长时间监测单个动物体内农药的含量及其代谢过程提供更为科学的取样平台；拟通过分子设计，以对硫磷等为模板分子，合成对特定农药分子具有高度敏感性的分子印迹材料；以合成的分子印迹聚合物为识别元件,结合不同种类的转换器，建立对硫磷等农药分子印迹-化学传感体系，为体内残留农药的快速检测提供一个可靠的分析平台；将微渗析取样技术与分子印迹-电化学传感技术相结合，实现对特定农药分子的高选择性、高灵敏度的快速、在线、连续检测；同时结合LC-MS和GC-MS，实现多种有机磷农药及其代谢物的分离-分析，为农药在人及动物体内吸收、分布、排泄以及代谢动力学的深入研究提供科学的手段，也为农药对人体健康的影响和对环境风险的评估提供更加可靠的理论根据和有效指导。

了解有机磷农药在人及动物体内吸收、分布、排泄以及代谢动力学等，对于研究有机磷农药对人体健康的影响及环境风险的评估具有十分重要的意义。本项目中，我们通过合理的分子设计，结合不同种类的传感器的优势，建立了多种高灵敏、高选择的有机磷农药分析新方法，为体内有机磷农药残留的在线检测提供了可靠的分析平台；同时，我们构建了高效的微渗析活体取样系统，并将其与在线检测分析方法相结合，成功实现了对单个动物体内有机磷农药含量的长时间监测；在此基础上，我们进一步利用所建立的微渗析活体取样-在线分析系统开展了有关活体动物体内有机磷农药代谢转化规律的研究。至今，我们已经完成了项目中的各项任务，在Biosensors and Bioelectronics, Environmental Science & Technology, Sensors and Actuators B -Chemical等国际知名期刊杂志上发表SCI收录论文19篇，取得了较好的研究和应用成果。