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The present paper is concerned with the fast evaluation of the flow injection analysis (FIA) signals and the automatic correction of the analytical values interfered by systematic and stochastic disturbances. With the application of the extended Kalman filter, the highest amount of information for the data evaluation of analytical signals can be extracted from FIA peaks. The concentration of the analyte and the offset of the baseline are estimated as time-variable parameters by filtering. The results of the application to simulated and real FIA data show that the parameters corresponded to the evaluation of the analytical data, but is already available before the maximum of the FIA peak, i.e. the evaluation of the data with the Kalman filter can be done during the running peak. Good estimates of the measured values are already obtained short after start of the peak. For this reason, the measuring dead-time of the FIA system can be reduced by the use of this method. The evaluation of FIA signals disturbed often by fluctuation of the baseline and other noise can be corrected by estimation of the offset of FIA peaks and smoothing of real FIA signals. Therefore, the application of the extended Kalman filter can also improve conventional evaluation methods. |
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