On-line estimation of biomass, glucose and ethanol in Saccharomyces cerevisiae cultivations using in-situ multi-wavelength fluorescence and software sensors

Journal of Biotechnology

Volumn 144, Issue 2, 2009, Pages 102-112

  Ödman, Peter ^a   Johansen, Claus Lindvald ^b   Olsson, Lisbeth ^a   Gernaey, Krist V ^a   Lantz, Anna Eliasson ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b DANISCO A S   (Denmark)

Author keywords

Bioprocess monitoring; High gravity; Multi wavelength fluorescence; PARAFAC; PLS; Saccharomyces cerevisiae; Software sensor

Indexed keywords

BIOPROCESS MONITORING; HIGH GRAVITY; MULTI-WAVELENGTH FLUORESCENCE; PARAFAC; PLS; SACCHAROMYCES CEREVISIAE; SOFTWARE SENSOR;

BIOMASS; CELL MEMBRANES; CHARGE DENSITY WAVES; COMPUTER SOFTWARE; ETHANOL; FLUORESCENCE; MATHEMATICAL MODELS; SENSORS; YEAST;

GLUCOSE;

ALCOHOL; GLUCOSE;

ARTICLE; BATCH REACTOR; BIOPROCESS; CONTROLLED STUDY; DRY WEIGHT; FLUORESCENCE; FUNGAL BIOMASS; GLUCOSE INTAKE; GRAVITY; NONHUMAN; ONLINE MONITORING; OSMOTIC STRESS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE; SENSOR;

BIOMASS; BIOSENSING TECHNIQUES; CELL CULTURE TECHNIQUES; ETHANOL; FLUORESCENCE; GLUCOSE; GRAVITATION; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; ONLINE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SACCHAROMYCES CEREVISIAE; SOFTWARE; TIME FACTORS;

SACCHAROMYCES CEREVISIAE;

EID: 70350247465     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2009.08.018     Document Type: Article

References (54)

1. Albert S., and Kinley R.D. Multivariate statistical monitoring of batch processes: an industrial case study of fermentation supervision. Trends Biotechnol. 19 (2001) 53-62
2. Arnold S.A., Matheson L., Harvey L.M., and McNeil B. Temporally segmented modelling: a route to improved bioprocess monitoring using near-infrared spectroscopy?. Biotechnol. Lett. 23 (2001) 143-147
3. Bapat P.M., Das D., Dave N.N., and Wangikar P.P. Phase shifts in the stoichiometry of rifamycin B fermentation and correlation with the trends in the parameters measured online. J. Biotechnol. 127 (2006) 115-128
4. Bro R. PARAFAC. Tutorial and applications. Chemometr. Intel. Lab. 38 (1997) 149-171
5. Bro R. Multiway calibration. Multilinear PLS. J. Chemometr. 10 (1996) 47-61
6. Bro R., and Kiers H. A new efficient method for determining the number of components in PARAFAC models. J. Chemometr. 17 (2003) 274-286
7. Camacho J., Pico J., and Ferrer A. Multi-phase analysis framework for handling batch process data. J. Chemometr. 22 (2008) 632-643
8. Cervera Padrell, A.E., Petersen, N., Eliasson Lantz, A., Larsen, A., Gernaey, K.V. Review on the application of near-infrared spectroscopy for fermentation monitoring and control. Biotechnol. Prog., in press, doi: 10.1021/bp.280.
9. Cheung J.Y., and Stephanopoulos G. Representation of process trends-Part I. A formal representation framework. Comput. Chem. Eng. 14 (1990) 495-510
10. Clementschitsch F., Kern J., Pötschacher F., and Bayer K. Sensor combination and chemometric modelling for improved process monitoring in recombinant E. coli fed-batch cultivations. J. Biotechnol. 120 (2005) 183-197
11. Diano A., Bekker-Jensen S., Dynesen J., and Nielsen J. Polyol synthesis in Aspergillus niger: influence of oxygen availability, carbon and nitrogen sources on the metabolism. Biotechnol. Bioeng. 94 (2006) 899-908
12. Dijken J.P., and Scheffers W.A. Redox balances in the metabolism of sugars by yeasts. FEMS Microbiol. Lett. 32 (1986) 199-224
13. Doan X.-T., Srinivasan R., Bapat P.M., and Wangikar P.P. Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: a case study with rifamycin B fermentation. J. Biotechnol. 132 (2007) 156-166
14. Eliasson A., Christensson C., Wahlbom C.F., and Hahn-Hagerdal B. Anaerobic xylose fermentation by recombinant Saccharomyces cerevisiae carrying XYL1, XYL2, and XKS1 in mineral medium chemostat cultures. Appl. Environ. Microb. 66 (2000) 3381-3386
15. Eliasson Lantz A., Jørgensen P., Poulsen E., Lindemann C., and Olsson L. Determination of cell mass and polymyxin using multi-wavelength fluorescence. J. Biotechnol. 121 (2006) 544-554
16. Ganzlin M., Marose S., Lu X., Hitzmann B., Scheper T., and Rinas U. In situ multi-wavelength fluorescence spectroscopy as effective tool to simultaneously monitor spore germination, metabolic activity and quantitative protein production in recombinant Aspergillus niger fed-batch cultures. J. Biotechnol. 132 (2007) 461-468
17. Haack M.B., Eliasson A., and Olsson L. On-line cell mass monitoring of Saccharomyces cerevisiae cultivations by multi-wavelength fluorescence. J. Biotechnol. 114 (2004) 199-208
18. Haack M.B., Lantz A.E., Mortensen P.P., and Olsson L. Chemometric analysis of in-line multi-wavelength fluorescence measurements obtained during cultivations with a lipase producing Aspergillus oryzae strain. Biotechnol. Bioeng. 96 (2007) 904-913
19. Hagedorn A., Legge R.L., and Budman H. Evaluation of spectrofluorometry as a tool for estimation in fed-batch fermentations. Biotechnol. Bioeng. 83 (2003) 104-111
20. Hagedorn A., Levadoux W., Groleau D., and Tartakovsky B. Evaluation of multiwavelength culture fluorescence for monitoring the aroma compound 4-hydroxy-2 (or 5)-ethyl-5 (or 2)-methyl-3 (2 H)-furanone (HEMF) production. Biotechnol. Prog. 20 (2004) 361-367
21. Hallsworth J.E. Ethanol-induced water stress in yeast. J. Ferment. Bioeng. 85 (1998) 125-137
22. Hantelmann K., Kollecker M., Hull D., Hitzmann B., and Scheper T. Two-dimensional fluorescence spectroscopy: a novel approach for controlling fed-batch cultivations. J. Biotechnol. 121 (2006) 410-417
23. Jenzsch M., Simutis R., Eisbrenner G., Stückrath I., and Lübbert A. Estimation of biomass concentrations in fermentation processes for recombinant protein production. Bioprocess Biosyst. Eng. 29 (2006) 19-27
24. Kamimura R., Konstantinov K., and Stephanopoulos G. Knowledge-based systems, artificial neural networks and pattern recognition: applications to biotechnological processes. Curr. Opin. Biotech. 7 (1996) 231-234
25. Konstantinov K., and Yoshida T. Real-time qualitative analysis of the temporal shapes of (bio-) process variables. AIChE J. 38 (1992) 1703-1715
26. Lee K.-I., Yim Y.-S., Chung S.-W., Wei J., and Rhee J.I. Application of artificial neural networks to the analysis of two-dimensional fluorescence spectra in recombinant E. coli fermentation processes. J. Chem. Technol. Biotechnol. 80 (2005) 1036-1045
27. Lin B., Recke B., Knudsen J.K., and Jørgensen S.B. A systematic approach for soft sensor development. Comput. Chem. Eng. 31 (2007) 419-425
28. Lindemann C., Marose S., Nielsen H.O., and Scheper T. 2-Dimensional fluorescence spectroscopy for on-line bioprocess monitoring. Sens. Actuators B: Chem. 51 (1998) 273-277
29. Luong J.H.T. Kinetics of ethanol inhibition in alcohol fermentation. Biotechnol. Bioeng. 27 (1985) 280-285
30. Lübbert A., and Jørgensen S.B. Bioreactor performance: a more scientific approach for practice. J. Biotechnol. 85 (2001) 187-210
31. Mandenius C.-F. Recent developments in the monitoring, modeling and control of biological production systems. Bioproc. Biosyst. Eng. 26 (2004) 347-351
32. Marose S., Lindemann C., and Scheper T. Two-dimensional fluorescence spectroscopy: a new tool for on-line bioprocess monitoring. Biotechnol. Prog. 14 (1998) 63-74
33. Mortensen P.P., and Bro R. Real-time monitoring and chemical profiling of a cultivation process. Chemomet. Intel. Lab. 84 (2006) 106-113
34. Nevoigt E., and Stahl U. Osmoregulation and glycerol metabolism in the yeast Saccharomyces cerevisiae. FEMS Microbiol. Rev. 21 (1997) 231-241
35. Nielsen J., Liden G., and Villadsen J. Bioreaction Engineering Principles (2003), Kluwer Academic/Plenum Press, New York
36. Petersen, N., Ödman, P., Cervera Padrell, A., Stocks, S., Eliasson Lantz, A., Gernaey, K.V. In-situ NIR spectroscopy for analyte specific monitoring of glucose and ammonium in Streptomyces coelicolor fermentations. Biotechnol. Prog., in press, doi: 10.1021/bp.288.
37. Rhee J.I., and Kang T.-H. On-line process monitoring and chemometric modeling with 2D fluorescence spectra obtained in recombinant E. coli fermentations. Process Biochem. 42 (2007) 1124-1134
38. Rhiel M., Cohen M.B., Murhammer D.W., and Arnold M.A. Nondestructive near-infrared spectroscopic measurement of multiple analytes in undiluted samples of serum-based cell culture media. Biotechnol. Bioeng. 77 (2002) 73-82
39. Riley M.R., Crider H.M., Nite M.E., Garcia R.A., Woo J., and Wegge R.M. Simultaneous measurement of 19 components in serum-containing animal cell culture media by Fourier transform near-infrared spectroscopy. Biotechnol. Prog. 17 (2001) 376-378
40. Roels J.A. Application of macroscopic principles to microbial metabolism. Biotechnol. Bioeng. 22 (1980) 2457-2514
41. Ross R.T., and Leurgans S. Component resolution using multilinear models. Method. Enzymol. 246 (1995) 679-700
42. Scarff M., Arnold S.A., Harvey L.M., and McNeil B. Near-infrared spectroscopy for bioprocess monitoring and control: current status and future trends. Crit. Rev. Biotechnol. 26 (2006) 17-39
43. Schlanderer G., Held W., Reimann J., and Dellweg H. Metabolic changes during substrate shifts in continuous cultures of the yeast Candida boidinii variant 60. Appl. Microbiol. Biot. 6 (1978) 133-144
44. Schügerl K. Progress in monitoring, modeling and control of bioprocesses during the last 20 years. J. Biotechnol. 85 (2001) 149-173
45. Skibsted E., Lindemann C., Roca C., and Olsson L. On-line bioprocess monitoring with a multi-wavelength fluorescence sensor using multivariate calibration. J. Biotechnol. 88 (2001) 47-57
46. Smilde A.K., Bro R., and Geladi P. Multiway Analysis with Applications in the Chemical Sciences (2004), Wiley, Chichester
47. Sundström H., and Enfors S.O. Software sensors for fermentation processes. Bioproc. Biosyst. Eng. 31 (2008) 145-152
48. Surribas A., Amigo J.M., Coello J., Montesinos J.L., Valero F., and Maspoch S. Parallel factor analysis combined with PLS regression applied to the on-line monitoring of Pichia pastoris cultures. Anal. Bioanal. Chem. 385 (2006) 1281-1288
49. Surribas A., Geissler D., and Gierse A. State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris. J. Biotechnol. 124 (2006) 412-420
50. Thatipamala R., Rohani S., and Hill G.A. Effects of high product and substrate inhibitions on the kinetics and biomass and product yields during ethanol batch fermentation. Biotechnol. Bioeng. 40 (1992) 289-297
51. Ulber R., Frerichs J.G., and Beutel S. Optical sensor systems for bioprocess monitoring. Anal. Bioanal. Chem. 376 (2003) 342-348
52. Verduyn C., Postma E., Scheffers W.A., and Van Dijken J.P. Effect of benzoic acid on metabolic fluxes in yeasts: a continuous-culture study on the regulation of respiration and alcoholic fermentation. Yeast 8 (1992) 501-517
53. Vojinovic V., Cabral J.M., and Fonseca L.P. Real-time bioprocess monitoring. Sens. Actuators B: Chem. 114 (2006) 1083-1091
54. Wanner U., and Egli T. Dynamics of microbial growth and cell composition in batch culture. FEMS Microbiol. Lett. 75 (1990) 19-43