On-line batch fermentation process monitoring (NIR) - Introducing 'biological process time'

Journal of Chemometrics

Volumn 18, Issue 2, 2004, Pages 81-91

  Jørgensen, Pia ^a   Pedersen, Joan Grønkjaer ^a   Jensen, Ejner Paaske ^a   Esbensen, Kim H ^b  

^a Biotechnological Institute Denmark   (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Batch process monitoring; Biological process time; Multivariate statistical process control (MSPC) charts; NIR; Time alignment

Indexed keywords

ALIGNMENT; BATCH DATA PROCESSING; INFRARED DEVICES; MULTIVARIANT ANALYSIS; PROCESS MONITORING; STATISTICAL PROCESS CONTROL;

BATCH FERMENTATION PROCESS; BATCH PROCESS MONITORING; BIOLOGICAL PROCESS; BIOLOGICAL PROCESS TIME; MULTIVARIATE STATISTICAL PROCESS CONTROL CHARTS; NEAR INFRARED; NEAR-INFRARED; PROCESS TIME; RELATIVE TIME; TIME ALIGNMENT;

FERMENTATION;

ARTICLE; BATCH FERMENTATION; FERMENTATION MONITORING; MULTIVARIATE ANALYSIS; NEAR INFRARED SPECTROSCOPY; ONLINE MONITORING; PROCESS MONITORING;

EID: 3242671538     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.850     Document Type: Article

References (25)

1. Kourti T, Lee J, MacGregor JF. Experiences with industrial applications of projection methods for multivariate statistical process control. Comput. Chem. Eng. 1996; 20: S745-S750.
2. Neogi D, Schlags CE. Multivariate statistical analysis of an emulsion batch process. Ind. Eng. Chem. Res. 1998; 37: 3971-3979.
3. Moore CF, Kaistha N, Johnson MS. Monitoring and analysis of batch profiles. J. Process Anal. Chem. 2000; V(1,2): 65-79.
4. Burns DA, Ciurczak EW. Handbook of Near-infrared Analysis. Practical Spectroscopy, vol. 13. Marcel Dekker, 2001.
5. Geladi P, Aberg P. Three-way modelling of a batch organic synthesis process monitored by near infrared spectroscopy. J. Near Infrared Spectrosc. 2001; 9: 1-9.
6. Lindemann C, Marose S, Scheper T, Nielsen HO, Reardon KH. Fluorescence Techniques for Bioprocess Monitoring. In Bioprocess Technology: Fermentation, Biocatalysis, and Bioseparation, Flickinger MC, Drew SW (eds). J Wiley & Sons, Ltd.: New York, 1999; 1238-1244.
7. Srinivasan N, Johnson RC, Kasthurikrishnan N, Wong P, Cooks RG. Membrane introduction mass spectrometry. Anal. Chim. Acta 1997; 350: 257-271.
8. Jorgensen P, Pedersen JG, Jensen EP, Esbensen KH. Online batch fermentation process monitoring (NIR, fluorescence and MIMS) - the need for prediction of 'biological process time'. Technical Report, Biotechnological Institute, Kolding (www.kemometri.dk) 2003.
9. Kawano S, Abe H. Development of a calibration equation with temperature compensation for determining the Brix value in intact peaches. J. Near Infrared Spectrosc. 1995; 3: 211-218.
10. Langford VS, McKinley AJ, Quickenden TI. Temperature dependence of the visible-near-infrared absorption spectrum of liquid water. J. Phys. Chem. A. 2001; 15: 8916-8921.
11. MacGregor JF, Jaeckle C. Process monitoring and diagnosis by multiblock PLS methods. AIChE J. 1994; 40: 826-838.
12. Kresta JV, MacGregor JF, Marlin TE. Multivariate statistical monitoring of process operating performance. Can. J. Chem. Eng. 1991; 69: 35-47.
13. Kourti T, Nomikos P, MacGregor JF. Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS. J. Process Control 1995; 5: 227-284.
14. Westerhuis JA, Kourti T, MacGregor JF. Comparing alternative approaches for multivariate statistical analysis of batch process data. J. Chemometrics 1999; 13: 397-413.
15. Nomikos P, MacGregor JF. Multiway partial least squares in monitoring batch processes. Chemometrics Intell. Lab. Syst. 1995; 30: 97-108.
16. Ränner S, MacGregor JF, Wold S. Adaptive batch monitoring using hierarchical PCA. Chemometrics Intell. Lab. Syst. 1998: 41: 73-81.
17. Martens H, Næs T. Multivariate Calibration. Wiley: Chichester, 1989.
18. Wold S, Kettaneh N, Fridén H, Holmberg A. Modelling and diagnosing of batch processes and analogous kinetic experiments. Chemometrics Intell. Lab. Syst. 1998; 44: 331-340.
19. Pedersen JG, Jorgensen P, Hansen KF. On-line NIR monitoring of a fermentation proces. New Food 1999; 2: 9-14.
20. Esbensen KH. Multivariate Data Analysis - in Practice (5th edn). Camo Process AS: Oslo, Norway, 2001.
21. Westerhuis JA, Gurden SP, Smilde AK. Standardized Q-statistic for improved sensitivity in the monitoring of residuals in MSPC. J. Chemometrics 2000; 14: 335-349.
22. Wise BM, Gallagher NB. The process chemometrics approach to process monitoring and fault detection. J. Process Control 1996; 6: 329-348.
23. Jorgensen P. Proceskemometri i praksis. Dansk Kemi 2001; 82: 31-32.
24. Van den Berg FWJ, Ossenbruggen WA, Smilde AK. Process analytical chemistry in the distillation industry using near infrared spectroscopy. Process Control Qual. 1997; 9: 51-57.
25. Gallignani M, Garrigues S, de la Guardia M. Direct determination of ethanol in all types of alcoholic beverages by near-infrared derivative spectrometry. Analyst 1993; 118: 1167-1173.