Details
| Original language | English |
|---|---|
| Pages (from-to) | 11-28 |
| Number of pages | 18 |
| Journal | Journal of biotechnology |
| Volume | 62 |
| Issue number | 1 |
| Publication status | Published - 11 Jun 1998 |
Abstract
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. Copyright (C) 1998 Elsevier Science B.V.
Keywords
- Data processing, Extended Kalman filter, Flow injection, On-line analysis, Parameter estimation, State space model
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Chemical Engineering(all)
- Bioengineering
- Immunology and Microbiology(all)
- Applied Microbiology and Biotechnology
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In: Journal of biotechnology, Vol. 62, No. 1, 11.06.1998, p. 11-28.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Fast on-line data evaluation of flow-injection analysis signals based on parameter estimation by an extended Kalman filter
AU - Wu, X.
AU - Bellgardt, K. H.
N1 - Funding Information: This work was financially supported by the `Bundes Ministerium für Forschung und Technologie (BMFT)', Biotechnology program (No. BEO 0310087A) and by the `Arbeitsgemainschaft Industrieller Forschungsvereinigungen (AIF)', (Project No. 8959). We would like to thank Dr Hitzmann, Dr Brandt and Dr Weigel who helpfully offered the experimental data for this work.
PY - 1998/6/11
Y1 - 1998/6/11
N2 - 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. Copyright (C) 1998 Elsevier Science B.V.
AB - 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. Copyright (C) 1998 Elsevier Science B.V.
KW - Data processing
KW - Extended Kalman filter
KW - Flow injection
KW - On-line analysis
KW - Parameter estimation
KW - State space model
UR - http://www.scopus.com/inward/record.url?scp=0345404171&partnerID=8YFLogxK
U2 - 10.1016/S0168-1656(98)00039-X
DO - 10.1016/S0168-1656(98)00039-X
M3 - Article
AN - SCOPUS:0345404171
VL - 62
SP - 11
EP - 28
JO - Journal of biotechnology
JF - Journal of biotechnology
SN - 0168-1656
IS - 1
ER -