食品中痕量污染物光热-荧光二维定量高灵敏免疫分析方法与机理研究

本课题以食品中痕量有害物免疫快速可视化定性及精准定量检测的技术需求为导向，选择具有代表性的光热及荧光淬灭信号为研究对象，以高荧光淬灭率及光热转换效率的黑磷/金属异质结构为光热元件及荧光受体、环境友好的碳量子点为荧光供体，构建新型光热-荧光二维定量体系，揭示该定量体系高效信号输出及验证机理。将免疫分析特异性识别元件与灵敏度高、稳定性好的荧光信号及抗基质干扰能力强且信号捕获、处理方法简便的光热信号有机整合，形成新型二维定量免疫传感分析方法，在同时实现荧光及光热定量检测分析的基础上，以上述两种信号互为横纵坐标，纠正信号偏差，实现检测结果的相互验证。从技术上解决传统免疫方法灵敏度低及准确性差等瓶颈问题，实现食品中痕量有害物的现场高灵敏可视化和定量分析检测。本项目研究志在探索新兴纳米传感技术与传统免疫分析技术的有效结合点，研究成果对相关技术在食品安全检测领域的进一步发展提供一定的理论参考和技术支持。

This subject is guided by the technical requirements for rapid, visualized, qualitative and accurate quantitative detection of trace harmful substances in food. Representative photothermal and fluorescence quenching signals are selected as the research object, and a new photothermal-fluorescence two-dimensional quantitative system will be established based on the black phosphorous/metal heterostructure as photothermal signal element and fluorescence acceptor, and the carbon dots as the fluorescence donors. The efficient signal output and verification mechanism of the two-dimensional quantitative system will be in-depth exploration. In addition, the specific identification elements of immunoassays will be organically integrated with highly sensitive and stable fluorescent signals and photothermal signals with strong anti-matrix interference capabilities to form a new two-dimensional quantitative immunosensing system. Based on the simultaneous realization of fluorescence and photothermal quantitative detection and analysis, the above two signals will be used as the horizontal and vertical coordinates to correct the signal deviation and realize the mutual verification of the detection results. Technically, it will solve the bottleneck problems of traditional immunoassays such as low sensitivity and poor accuracy, and realizes on-site highly sensitive visualization and quantitative detection of trace harmful substances in food. The research of this project aims to explore the effective combination of emerging nano-sensing technology and traditional immunoassay technology, and the research results provide a certain theoretical reference and technical support for the further development of related technologies in the field of food safety detecting.