角度扫描型SPR传感器在免疫反应检测中的数据处理研究

摘要

The Surface Plasmon Resonance (SPR) sensor is widely applied in the immune reaction detection of biomolecules. For the self-developed angle scanning surface plasmon resonance sensor, the kinetics detection and kinetics data analysis software system were developed according to Langumair model, and the data processing method of polynomial fitting combined with centroid method was proposed. The established method could effectively inhibit the interference on SPR resonance angle detection by noise, ambient temperature and mechanical vibration in the process of detection. The immune reaction kinetics of mice antigen and antibody was detected. Its association rate constant ka≈2.05×104 M-s- and issociation rate constantkd≈0.005 s-. The feasibility of the established device and data processing method was confirmed. This method could effectively improve the accuracy and capacity of resisting disturbance of angle scanning surface plasmon resonance sensor, and it is worthy to be applied and promoted.%表面等离子体共振(SPR)传感器广泛应用于生物分子的免疫反应检测。针对自行研制的角度扫描型 SPR 传感器，根据Langumair模型开发了动力学检测和动力学数据分析软件系统，提出了一种采用多项式拟合和质心法相结合的数据处理方法，该方法可有效抑制免疫反应检测过程中噪声、环境温度和机械振动等对SPR共振角测量的干扰。检测小鼠抗原、抗体免疫反应动力学，求出其结合速率常数ka≈2.05×104 M-s-、解离速率常数kd≈0.005 s-，验证了该装置和数据处理方法的可行性。该方法能有效提高角度扫描型表面等离子体共振传感器的精度和抗干扰能力，具有良好的应用和推广价值。