STUDY ON A MODIFIED ALGORITHM - ITERATIVE KALMAN FILTER AND ITS APPLICATION IN ENZYMATIC KINETICS

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 res ults were compared with those provided by a calibration graph and clas sical 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-parame ters were also estimated according to the iterative Kalman filtering r esults.