On-line multi-analyzer monitoring of biomass, glucose and acetate for growth rate control of a Vibrio cholerae fed-batch cultivation

Journal of Biotechnology

Volumn 115, Issue 1, 2005, Pages 67-79

  Navrátil, Marián ^a   Norberg, Anna ^b   Lembrén, Lars ^b   Mandenius, Carl Fredrik ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

^b SBL Vaccin AB   (Sweden)

Author keywords

Acetate overflow metabolism; Bioprocess monitoring; Chemometrics; Cholera toxin; Electronic nose; Near infrared spectroscopy; Partial least squares.

Indexed keywords

NEAR INFRARED (NIR) SPECTROSCOPY; PARTIAL LEAST SQUARE (PLS) REGRESSION;

CONTAMINATION; DISEASES; GLUCOSE; INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; TOXIC MATERIALS;

BIOMASS;

ACETIC ACID; GLUCOSE;

ALGORITHM; ARTICLE; CORRELATION ANALYSIS; DIAGNOSIS, MEASUREMENT AND ANALYSIS; FED BATCH CULTURE; GROWTH RATE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MICROBIAL BIOMASS; NEAR INFRARED SPECTROSCOPY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SPECIES CULTIVATION; SPECTROSCOPY; VIBRIO CHOLERAE;

ACETATES; ALGORITHMS; BIOMASS; BIOREACTORS; CELL CULTURE TECHNIQUES; CELL PROLIFERATION; CHOLERA TOXIN; COLONY COUNT, MICROBIAL; COMPUTER SIMULATION; COMPUTER SYSTEMS; EXPERT SYSTEMS; FEEDBACK; FLOW INJECTION ANALYSIS; GLUCOSE; MODELS, BIOLOGICAL; ONLINE SYSTEMS; SPECTROSCOPY, NEAR-INFRARED; VIBRIO CHOLERAE;

BACTERIA (MICROORGANISMS); VIBRIO; VIBRIO CHOLERAE;

EID: 10644262099     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2004.07.013     Document Type: Article

References (26)

1. M. Åkesson, P. Hagander, and J.P. Axelsson Avoiding acetate accumulation in Escherichia coli cultures using feedback control of glucose feeding Biotechnol. Bioeng. 73 2001 223 230
2. S.A. Arnold, R. Gaensakoo, L.M. Harvey, and B. McNeil Use of at-line and in situ near-infrared spectroscopy to monitor biomass in an industrial fed-batch Escherichia coli process Biotechnol. Bioeng. 80 2002 405 413
3. S.A. Arnold, J. Crowley, N. Woods, L.M. Harvey, and B. McNeill In situ near infrared spectroscopy to monitor key analytes in mammalian cell cultivation Biotechnol. Bioeng. 84 2003 13 19
4. T. Bachinger, and C.-F. Mandenius Searching for process information in the aroma of cell cultures Trends Biotechnol. 18 2000 495 500
5. T. Bachinger, U. Riese, R. Eriksson, and Mandenius Gas sensor arrays for the early detection of infection in mammalian cell culture Biosens. Bioelectron. 17 2002 395 403
6. I.M. Baskir, and A.V. Drozd New Matlab software for wavelength selection Chemometrics Intell. Lab. Syst. 66 2003 89 91
7. C. Cimander, M. Carlsson, and C.-F. Mandenius Sensor fusion for on-line monitoring of yoghurt fermentation J. Biotechnol. 99 2002 237 248
8. C. Cimander, T. Bachinger, and C.-F. Mandenius Integration of distributed multi-analyzer monitoring and control in bioprocessing based on a real-time expert system J. Biotechnol. 103 2003 237 248
9. L. De Maré, L. Andersson, and P. Hagander Probing control of glucose feeding in Vibrio cholerae cultivations Bioprocess. Biosys. Eng. 25 2003 221 228
10. K.J. Duan, and C.S. Yin Control of glucose feeding using exit gas data and comparison of pH stat and glucose stat for fed batch fermentation of recombinant E. coli XL1 Blue Abstr. Pap. Am. Chem. Soc. 221 2001 189
11. Z. Ge, A.G. Cavinato, and J.B. Callis Noninvasive spectroscopy for monitoring cell density in a fermentation process Anal. Chem. 66 1994 1354 1362
12. A. Hagman, and P. Sivertsson The use of NIR spectroscopy in monitoring and controlling bioprocesses Process Contr. Qual. 11 1998 125 128
13. J.W. Hall, B. McNeil, M.J. Rollins, I. Draper, B.G. Thompson, and G. Macaloney Near-infrared spectroscopic determination of acetate, ammonium, biomass, and glycerol in an industrial Escherichia coli fermentation Appl. Spectrosc. 50 1996 102 108
14. S. Hathun, K. Matischak, and P. Friedl Determination of recombinant protein in animal cell culture supernatant by near-infrared spectroscopy Anal. Biochem. 251 1997 73 78
15. S. Kawano Sampling and sample presentation H.W. Siesler Y. Ozaki S. Kawata H.M. Heise Near-infrared Spectroscopy: Principles, Instruments, Application 2002 Wiley-VCH Verlag, Winheim 138 138
16. C.-F. Mandenius, T. Eklöv, and I. Lundström Sensor fusion with on-line gas emission multisensor arrays and standard process measurement devices in a baker's yeast manufacturing process Biotechnol. Bioeng. 55 1997 427 438
17. P.K. Namdev Sniffing out trouble: use of electronic nose in bioprocesses Biotechnol. Prog. 14 1998 75 78
18. M. Navrátil, C. Cimander, and C.-F. Mandenius On-line multisensor monitoring of yoghurt and filmjölk fermentations on production scale J. Agric. Food Chem. 52 2004 415 420
19. A. Nilsson, M.J. Taherzadeh, and G. Liden On-line estimation of sugar concentration for control of fed-batch fermentation of lignocellulosic hydrolyzates by Saccharomyces cerevisiae Bioprocess. Biosyst. Eng. 25 2002 183 191
20. T.C. O'Haver, and T. Begley Signal-to-noise ratio in higher order derivative spectrometry Anal. Chem. 53 1981 1876 1878
21. G.L. Kleman, and W.R. Strohl Acetate metabolism by Escherichia coli in high-cell-density fermentation Appl. Environ. Microbiol. 60 1994 3952 3958
22. P. Komaraiah, M. Navrátil, M. Carlsson, P. Jeffers, M. Brodelius, P.E. Brodelius, P.M. Kieran, and C.-F. Mandenius Growth behaviour in plant cell cultures based on emissions detected by a multisensor array Biotechnol. Prog. 20 2004 1245 1250
23. S.Y. Lee High cell-density culture of Escherichia coli Trends Biotechnol. 14 1996 98 105
24. A. Ramesh, A.K. Panda, B.R. Maiti, and A. Mukhopadhyay Studies on plasmid stability and LTB production by recombinant Vibrio choleraein batch and chemostat cultures: a lesson for optimizing conditions for chemical induction J. Biotechnol. 43 1995 45 51
25. P. Stchur, D. Cleveland, J. Zhou, and R.G. Michel A review of recent applications of near infrared spectroscopy, and of the characteristics of a novel PbS CCD array-based near-infrared spectrometer Appl. Spectrosc. Rev. 37 2002 383 428
26. S. Wold, M. Sjöström, and L. Eriksson PLS-regression: a basic tool of chemometrics Chemometrics Intell. Lab. Syst. 58 2001 109 130