Steinicke Franziska, Oltmann-Norden Imke, Wätzig Hermann
University of Braunschweig, Institute of Medicinal and Pharmaceutical Chemistry, Beethovenstraße 55, 38106 Braunschweig, Germany.
University of Braunschweig, Institute of Medicinal and Pharmaceutical Chemistry, Beethovenstraße 55, 38106 Braunschweig, Germany.
Anal Biochem. 2017 Aug 1;530:94-103. doi: 10.1016/j.ab.2017.05.009. Epub 2017 May 10.
This work presents an extensive parameter list that facilitates a survey of biosensor performance using Biacore instruments for kinetic binding studies. Six long term measurements were performed using a strongly interacting antigen-antibody (β2 microglobulin) system. Both Single Cycle Kinetic (SCK) and Multi Cycle Kinetic (MCK) were executed each with five different analyte concentrations. The overall comparison of the long term monitored parameters, like the dissociation constant (K with approximately 3-6% relative percental standard deviation), the association and dissociation rate constants (k, k), the analyte binding capacity (R), chi and the sum of the absolute values of the residuals, revealed the delicate factors that make the system performance vulnerable. The main influential factors on kinetic performance were the regeneration conditions, the quality of the sensor surface, the usage time and alteration of the sensor surface, the dilution series and the number of run cycles (about 250-600 per chip). Moreover the direct comparison of MCK and SCK uncovered distinct differences in the accuracy of the K values. The study of sensor chips from two manufacturers showed distinct differences in the precision of the data. Using control charts for the surveillance of these parameters contributes to an overall better system performance.
这项工作展示了一个广泛的参数列表,有助于使用Biacore仪器进行动力学结合研究来调查生物传感器的性能。使用强相互作用的抗原-抗体(β2微球蛋白)系统进行了六项长期测量。单循环动力学(SCK)和多循环动力学(MCK)均在五种不同的分析物浓度下执行。对长期监测参数的总体比较,如解离常数(K,相对百分比标准偏差约为3-6%)、结合和解离速率常数(k、k)、分析物结合能力(R)、卡方以及残差绝对值之和,揭示了使系统性能易受影响的微妙因素。对动力学性能的主要影响因素包括再生条件、传感器表面质量、传感器表面的使用时间和变化、稀释系列以及运行循环次数(每个芯片约250-600次)。此外,MCK和SCK的直接比较揭示了K值准确性的明显差异。对来自两个制造商的传感器芯片的研究表明数据精度存在明显差异。使用控制图监测这些参数有助于整体提高系统性能。