Molecularly imprinted polymers as biomimetic antibodies used in immunoassay has been a hot research field. However, there are many problems such as it can selectively recognize of single substance and the sensitivity of analysis method is relative low. Thus, their applications in multi-pesticide residues have been extremely limited. Based on many previous studies, this research will focus on following aspects: (1) Select and synthesize a water-soluble macromolecular compound that having many functional groups as the functional monomer, and use the mixed template or public template which having critical "group" as the template molecular, a hydrophilic molecularly imprinted membrane that can selectively recognize of 3-5 organophosphorous pesticides will be prepared in aqueous solution. (2) The compatibility between chemical reaction and biochemical reaction for the multicomponents will be investigated in detail, and the sensitivity of analysis method will be improved. Based on the multicolor characteristic of quantum dot label and the multiple recognition ability of biomimetic antibody, a new biomimetic immunoassay method will be developed, which can be applied in the simultaneous analysis of multi-pesticide residues. (3) The synthesis and recognition mechanisms of the molecularly imprinted polymer that having multiple recognition ability and the multi-residue biomimetic immunoassay mechanism will be investigated from the molecular level and space structure. This study will provide a theoretical basis for the development of biomimetic immunology and a technical basis for high-throughput screening of sample in food safety areas.
分子印迹聚合物作为仿生抗体应用于免疫分析领域是国内外研究的热点,但存在选择识别单一、检测灵敏度低等技术难题,在农药多残留检测中的应用受到限制。本课题在大量前期研究的基础上,拟开展以下研究工作:(1) 筛选合成多官能团水溶性功能单体,以复合模板或具有关键"决定簇"的公共模板作为模板分子,水相中制备对3-5种有机磷农药具有高选择性的亲水性印迹聚合物膜(仿生抗体)。(2) 探讨多组分化学识别反应与免疫生化反应的协同性,进一步提高仿生免疫分析的灵敏度,基于量子点的多色标记和仿生抗体多识别性能建立可用于农药多残留同步检测的仿生免疫分析新方法。(3) 从分子水平和空间结构层面探索多识别性能印迹聚合物的合成和水相识别机理以及多残留仿生免疫分析机理。从而为仿生免疫学的发展提供理论依据,为食品安全领域高通量样品筛选方法的建立提供技术基础。
分子印迹聚合物作为仿生抗体应用于免疫分析领域是国内外研究的热点,但存在选择识别单一、检测灵敏度低等技术难题,在农药多残留检测中的应用受到限制。本课题系统优化了化学识别反应与免疫生化反应的协同性,以分子印迹聚合物作为仿生抗体,基于量子点和化学发光标记物,建立了4种高灵敏仿生免疫分析方法,满足了企业自检需要。筛选具有有机磷农药关键结构的中间体作为公共模板或复合模板分子,构建了多识别位点仿生抗体的通用制备方法,合成了对2-3种有机磷农药具有高选择性的亲水性仿生抗体,以纳米级多色量子点代替酶作为标记物,建立了2种可用于农药多残留同步检测的仿生免疫分析新方法,并对多识别性能印迹聚合物的合成和识别机理以及多残留仿生免疫分析机理进行了探索研究。课题同时建立了基于量子点和分子印迹技术的有机磷快速检测方法。课题研究成果为仿生免疫学的发展提供理论依据,为食品安全领域高通量样品筛选方法的建立提供技术基础。
{{i.achievement_title}}
数据更新时间:2023-05-31
玉米叶向值的全基因组关联分析
正交异性钢桥面板纵肋-面板疲劳开裂的CFRP加固研究
硬件木马:关键问题研究进展及新动向
基于SSVEP 直接脑控机器人方向和速度研究
温和条件下柱前标记-高效液相色谱-质谱法测定枸杞多糖中单糖组成
量子点标记农药多残留免疫分析技术研究
基于新型多功能磁性纳米仿生杂化材料的农药多残留快速分析研究
食品抗生素多残留的量子点标记免疫层析检测技术研究
量子点/酶纳米复合光学传感器用于食品中有机磷农药残留的检测