基于动力学数学模型的HPLC-CL检测参数优化及卫生分析新方法研究与应用

Chemiluminescence detection is in sanitary inspection chemistry because of its high sensitivity and low cost. However, chemiluminescence detection has poor selectivity. Therefore, the project applicant will solve the key technical problems of this poor selectivity by combining chemiluminescence detection with a kind of separation technology, i.e., high-performance liquid chromatography (HPLC). Early studies of the applicant have shown that different chemical structures of target analytes lead to different enhancing or inhibiting chemiluminescence mechanisms, thereby resulting in different luminescence kinetics. Rules between the chemical structure of target analytes and luminescence kinetics have not yet been systematically studied. The proposed project generally aims to research the kinetic characteristics of different chemiluminescence systems, to establish a chemiluminescence kinetic mathematical model, and to explore factors influencing reaction kinetic parameters. More specifically, the project aims to design a novel chemiluminescence detector based on a kinetic mathematical model and to establish a novel method of analyzing paraquat and glutathione in poisoned rats through HPLC-chemiluminescence, thus providing technical support for the treatment of paraquat poisoning using glutathione intervention. The kinetic mathematical model-based detector design and parameter optimization can enhance chemiluminescence detection to a new theoretical level. The project will also extend the application scope of chemiluminescence detection and thus has theoretical and practical significance.

化学发光检测因其灵敏度高及成本低的特点成为卫生分析化学重要研究方向之一。由于化学发光检测存在选择性差的缺陷，研究者将其与分离技术联用解决了选择性差的关键技术问题。申请者前期研究表明，不同化学结构的待测物增敏或抑制化学发光体系的机制不同并产生不同的发光动力学。有关待测物化学结构与发光动力学研究缺乏系统性规律研究。本项目针对不同化学发光体系开展的动力学特征研究并建立化学发光动力学数学模型，探讨影响动力学参数的反应因素。基于动力学数学模型设计化学发光检测器并指导高效液相色谱分离-化学发光检测的条件优化。建立中毒大鼠体内百草枯及谷胱甘肽的高效液相色谱分离-化学发光卫生分析新方法，为谷胱甘肽干预治疗百草枯中毒提供技术支持。基于动力学数学模型的检测器设计和化学发光检测参数优化可以将化学发光检测提高到一个新的理论水平，拓展了化学发光检测的应用范围，具有重要的理论和实践意义。

化学发光检测因其灵敏度高及成本低的特点成为卫生分析化学重要研究方向之一。本课题研究者将其与分离技术联用解决了化学发光技术选择性差的关键技术问题。针对多种化合物，开展了化学发光动力学研究，并建立化学发光动力学数学模型，探讨化合物分子结构对动力学参数的影响规律。基于动力学数学模型设计化学发光检测器并指导高效液相色谱分离-化学发光检测的条件优化。建立了生物样本中抗坏血酸，尿酸和氧化应激标志物的灵敏定量方法，及人血清中7种单胺类神经递质含量检测方法。还建立了百草枯中毒小鼠模型，研究了小鼠血浆和肝组织中氧化应激标志物与百草枯中毒剂量的对应关系。基于动力学数学模型的检测器设计和化学发光检测参数优化将化学发光检测提高到一个新的理论水平，拓展了化学发光检测的应用范围。