Study on a modified algorithm—iterative Kalman filter and its application in enzymic kinetics

Abstract

A modified algorithm, the iterative Kalman filter, for the analysis of enzymic kinetic data was investigated and successfully applied to the determination of urea in human blood by a urease catalytic reaction. This reaction was monitored with a novel sensor, the surface acoustic wave enzyme sensor system recently proposed by our laboratory. The results were compared with those provided by a calibration graph and classical colorimetry methods. In contrast to these conventional methods, the iterative extended-Kalman filter is shown to be an excellent data analysis method for enzyme kinetic analysis. The urease kinetic parameters were also estimated according to the iterative Kalman filtering results.