The potential of Kalman filtering for indication of unexpected components in a mixture was experimental evaluated by taking the spectrofluorimetric anal. of the tricomponent system of phenylalanine, tryptophan and tyrosine as an example. According to the whiteness of the innovation sequence, a criterion, which was defined as the math. expectation of the sequence of the innovation normalized to the measured signals (normalized innovations), was developed to flag for unexpected emissions. Insights into the relationship between the innovation sequence and the measurement noises revealed that the normalized innovations are numerically equivalent to the relative standard deviations (RSD) of the measured signals and the value of the criterion therefore should be of the order of the square of the RSD. The threshold of the criterion was thus determine experimental An omission of any contributed component in the model destroyed the whiteness of the innovation sequence and hence made the criterion higher than the threshold. Thus, an unexpected component was indicated. Furthermore, the peak position and the shape of the emission from the unexpected component were also approx. estimated by checking the structure of the normalized innovation sequence.

Key words: TRYPTOPHAN, TYROSINE, FLUOROSPECTROPHOTOMETRY, KALMAN FILTERING