Cited by 362Fluid Dynamics and MixingMicrobial Metabolic Engineering and BioproductionViral Infectious Diseases and Gene Expression in Insects

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Optimization and scale up of industrial fermentation processes

Schmidt, F. R.·2005·Applied Microbiology and Biotechnology

DOI 10.1007/s00253-005-0003-0

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Abstract

To increase product yields and to ensure consistent product quality, key issues of industrial fermentations, process optimization and scale up are aimed at maintaining optimum and homogenous reaction conditions minimizing microbial stress exposure and enhancing metabolic accuracy. For each individual product, process and facility, suitable strategies have to be elaborated by a comprehensive and detailed process characterization, identification of the most relevant process parameters influencing product yield and quality and their establishment as scale-up parameters to be kept constant as far as possible. Physical variables, which can only be restrictedly kept constant as single parameters, may be combined with other pertinent parameters to appropriate mathematical groups or dimensionless terms. Process characterization is preferably based on real-time or near real-time data collected by in situ and on-line measurements and may be facilitated by supportive approaches and tools like neural network based chemometric data analysis and modelling, clarification of the mixing and stream conditions through computational fluid dynamics and scale-down simulations. However, as fermentation facilities usually are not strictly designed according to scale-up criteria and the process conditions in the culture vessels thus may differ significantly and since any strategy and model can only insufficiently consider and reflect the highly complex interdependence and mutual interaction of fermentation parameters, successful scale up in most cases is not the result of a conclusive and straight-lined experimental strategy, but rather will be the outcome of a separate process development and optimization on each scale. This article gives an overview on the problems typically coming along with fermentation process optimization and scale up, and presents currently applied scale-up strategies while considering future technologies, with emphasis on Escherichia coli as one of the most commonly fermented organisms.

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Wolfbeis, O. S. (2006) · Analytical Chemistry · doi:10.1021/ac060490z · Cited by 1,635
High cell-density culture of Escherichia coli
Lee, S. Y. (1996) · Trends in biotechnology · doi:10.1016/0167-7799(96)80930-9 · Cited by 893
Identification of thermolabile Escherichia coli proteins: prevention and reversion of aggregation by DnaK and ClpB
Mogk, A., Tomoyasu, T., Goloubinoff, P., Rüdiger, S., Röder, D., Langen, H., & Bukau, B. (1999) · The EMBO Journal · doi:10.1093/emboj/18.24.6934 · Cited by 596
Physiological responses to mixing in large scale bioreactors
Enfors, S., Jahic, M., Rozkov, A., Xu, B., Hecker, M., Jürgen, B., Krüger, E., Schweder, T., Hamer, G., O'Beirne, D., et al. (2001) · Journal of Biotechnology · doi:10.1016/s0168-1656(00)00365-5 · Cited by 480
The bacterial universal stress protein: function and regulation
Kvint, K., Nachin, L., Diez, A., & Nyström, T. (2003) · Current Opinion in Microbiology · doi:10.1016/s1369-5274(03)00025-0 · Cited by 474
Fermentation and Enzyme Technology
Wiseman, A. (1980) · Biochemical Education · doi:10.1016/0307-4412(80)90096-5 · Cited by 344
Fiber-Optic Chemical Sensors and Biosensors
Wolfbeis, O. S. (2002) · Analytical Chemistry · doi:10.1021/ac020176e · Cited by 325
Fermentation and Enzyme Technology
Cooney, C. L., & Demain, A. L. (1979) · Cited by 286
Plasmid Copy Number and Plasmid Stability
Friehs, K. (2003) · Advances in biochemical engineering, biotechnology · doi:10.1007/b12440 · Cited by 283
Substrate gradient formation in the large-scale bioreactor lowers cell yield and increases by-product formation
Bylund, F., Collet, E., Enfors, S., & Larsson, G. (1998) · Bioprocess Engineering · doi:10.1007/s004490050427 · Cited by 231
Quantification of Intracellular Metabolites in Escherichia coli K12 Using Liquid Chromatographic-Electrospray Ionization Tandem Mass Spectrometric Techniques
Buchholz, A., Takors, R., & Wandrey, C. (2001) · Analytical Biochemistry · doi:10.1006/abio.2001.5183 · Cited by 221
Substrate gradients in bioreactors: origin and consequences
Larsson, G., T�rnkvist, M., Wernersson, E. S., Tr�g�rdh, C., Noorman, H. J., & Enfors, S. (1996) · Bioprocess and Biosystems Engineering · doi:10.1007/bf00369471 · Cited by 205
Glucose overflow metabolism and mixed-acid fermentation in aerobic large-scale fed-batch processes with Escherichia coli
Xu, B., Jahic, M., Blomsten, G., & Enfors, S. (1999) · Applied Microbiology and Biotechnology · doi:10.1007/s002530051433 · Cited by 202
Automated Sampling Device for Monitoring Intracellular Metabolite Dynamics
Schaefer, U., Boos, W., Takors, R., & Weuster‐Botz, D. (1999) · Analytical Biochemistry · doi:10.1006/abio.1999.4048 · Cited by 183
Biosensor arrays for simultaneous measurement of glucose, lactate, glutamate, and glutamine
Moser, I. (2002) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(01)00298-6 · Cited by 183
Computational Fluid Dynamics Modeling of Steady‐State Momentum and Mass Transport in a Bioreactor for Cartilage Tissue Engineering
Williams, K., Saini, S., & Wick, T. M. (2002) · Biotechnology Progress · doi:10.1021/bp020087n · Cited by 173
Bioprocess monitoring
Harms, P. D., Kostov, Y. V., & Rao, G. (2002) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(02)00295-1 · Cited by 155
Combinatorial mixing of microfluidic streams
NEILS, C. M., Tyree, Z., Finlayson, B. A., & Folch, A. (2004) · Lab on a Chip · doi:10.1039/b314962e · Cited by 154
Current trends in `artificial-nose' technology
Dickinson, T. A., White, J., Kauer, J. S., & Walt, D. R. (1998) · Trends in biotechnology · doi:10.1016/s0167-7799(98)01185-8 · Cited by 150
Scale‐down model to simulate spatial pH variations in large‐scale bioreactors
Amanullah, A., McFarlane, C. M., Emery, A. N., & Nienow, A. W. (2001) · Biotechnology and Bioengineering · doi:10.1002/bit.1072 · Cited by 144
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Hewitt, C. J., & Nebe‐von‐Caron, G. (2004) · Advances in biochemical engineering, biotechnology · doi:10.1007/b93997 · Cited by 140
High cell density fermentation of recombinant Escherichia coli expressing human interferon alpha 1
Riesenberg, D., Menzel, K., Schulz, V., Schümann, K., Veith, G., Zuber, G., & Knorre, W. A. (1990) · Applied Microbiology and Biotechnology · doi:10.1007/bf00170927 · Cited by 129
Metabolic load of recombinant protein production: Inhibition of cellular capacities for glucose uptake and respiration after induction of a heterologous gene in Escherichia coli
Neubauer, P. B., Lin, H. Y., & Mathiszik, B. (2003) · Biotechnology and Bioengineering · doi:10.1002/bit.10645 · Cited by 127
Quantifying heterogeneity: flow cytometry of bacterial cultures
Kell, D. B., Ryder, H. M., Kaprelyants, A. S., & Westerhoff, H. V. (1991) · Antonie van Leeuwenhoek · doi:10.1007/bf00430362 · Cited by 124
Biosensors — what real progress is being made?
Griffiths, D., & Hall, G. F. (1993) · Trends in biotechnology · doi:10.1016/0167-7799(93)90086-o · Cited by 123
Separation of β-lactam antibiotics by micellar electrokinetic chromatography
Nishi, H., Tsumagari, N., Kakimoto, T., & Terabe, S. (1989) · Journal of Chromatography A · doi:10.1016/s0021-9673(01)89635-7 · Cited by 120
General hybrid multizonal/CFD approach for bioreactor modeling
Bezzo, F., Macchietto, S., & Pantelides, C. C. (2003) · AIChE Journal · doi:10.1002/aic.690490821 · Cited by 110
Identification of an expanded set of translationally active methionine analogues in Escherichia coli
Kiick, K. L., Weberskirch, R., & Tirrell, D. A. (2001) · FEBS Letters · doi:10.1016/s0014-5793(01)02657-6 · Cited by 105
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Thiry, M., & Cingolani, D. (2002) · Trends in Biotechnology · doi:10.1016/s0167-7799(02)01913-3 · Cited by 102
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Hall, J. W., McNeil, B. W. J., Rollins, M. J., Draper, I., Thompson, B. G., & Macaloney, G. (1996) · Applied Spectroscopy · doi:10.1366/0003702963906726 · Cited by 99
Determination of the maximum specific uptake capacities for glucose and oxygen in glucose‐limited fed‐batch cultivations of Escherichia coli
Lin, H., Mathiszik, B., Xu, B., Enfors, S., & Neubauer, P. B. (2001) · Biotechnology and Bioengineering · doi:10.1002/bit.1068 · Cited by 98
Understanding the bioreactor
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Incorporation of Norvaline at Leucine Positions in Recombinant Human Hemoglobin Expressed in Escherichia coli
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Electric chips for rapid detection and quantification of nucleic acids
Gabig‐Cimińska, M., Holmgren, A., Andresen, H., Barken, K. B., Wümpelmann, M., Albers, J., Hintsche, R., Breitenstein, A., Neubauer, P. B., Los, M., et al. (2003) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(03)00273-2 · Cited by 89
Gas—Liquid Mass Transfer Coefficient in Stirred Tank Reactors
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Separation and determination of aspoxicillin in human plasma by micellar electrokinetic chromatography with direct sample injection
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A near‐infrarod spectroscopy technique for the control of fermentation processes: An application to lactic acid fermentation
Vaccari, G., Dosi, E., Campi, A. L., Mantovani, G., Antonio González‐Vara y, R., & Matteuzzi, D. (1994) · Biotechnology and Bioengineering · doi:10.1002/bit.260431003 · Cited by 84
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Influence of controlled glucose oscillations on a fed-batch process of recombinant Escherichia coli
Lin, H. Y., & Neubauer, P. B. (2000) · Journal of Biotechnology · doi:10.1016/s0168-1656(00)00217-0 · Cited by 78
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Turner, A. P. F. (1994) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(05)80069-2 · Cited by 33
Formate accumulation due to DNA release in aerobic cultivations of Escherichia coli
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High-level secretory production of human granulocyte-colony stimulating factor by fed-batch culture of recombinant Escherichia coli
Yim, S., Jeong, K., Chang, H., & Lee, S. Y. (2001) · Bioprocess and Biosystems Engineering · doi:10.1007/s004490100267 · Cited by 32
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Monitoring biomass and glycerol in an Escherichia coli fermentation using near-infrared spectroscopy
Macaloney, G., Hall, J. W., Rollins, M. J., Draper, I., Thompson, B. G., & McNeil, B. W. J. (1994) · Biotechnology Techniques · doi:10.1007/bf00155422 · Cited by 32
Influence of impeller type on mass transfer in fermentation vessels
Junker, B., Stanik, M., Barna, C., Salmon, P. M., & Buckland, B. C. (1998) · Bioprocess Engineering · doi:10.1007/s004490050540 · Cited by 32
Monitoring of the glucose concentration during microbial fermentation using a novel mass-producible biosensor suitable for on-line use
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Automated monitoring of biotechnological processes using on-line ultrafiltration and column liquid chromatography
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Oxygen transfer measurements during yeast fermentations in a pilot scale airlift fermenter
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Error-prone PCR ofVitreoscilla hemoglobin (VHb) to support the growth of microaerobicEscherichia coli
Andersson, C. I. J., Holmberg, N., Farrés, J., Bailey, J. E., Bülow, L., & Kallio, P. T. (2000) · Biotechnology and Bioengineering · doi:10.1002/1097-0290(20001120)70:4 · Cited by 24
Cell lines with reduced UDP-N-acetylhexosamine pool in the presence of ammonium
�ayl, A., Hirschmann, F., Wirth, M., Häuser, H., & Wagner, R. (1999) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19991020)65:2 · Cited by 24
Heat‐Induced Translocation of Cytoplasmic β‐Galactosidase across Inner Membrane of Escherichiacoli
Umakoshi, H., Kuboi, R., Komasawa, I., Tsuchido, T., & Matsumura, Y. (1998) · Biotechnology Progress · doi:10.1021/bp970111a · Cited by 22
Ion- and substrate-selective optode membranes and optical detection modes
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Scaleup Strategies for Bioreactors Containing Non‐Newtonian Broths
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Characterization and application of an on-line flow injection analysis/wall-jet electrode system for glucose monitoring during fermentation
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Scale-up strategy for bioreactors with Newtonian and non-Newtonian broths
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Compact, high voltage power supply for the lab-on-a-chip
Collins, G. E., Wu, P., Lu, Q., Ramsey, J. D., & Bromund, R. H. (2004) · Lab on a Chip · doi:10.1039/b314349j · Cited by 18
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Weickert, M. J., & Apostoł, I. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.5.1589-1593.1998 · Cited by 18
Scale-up of recombinant hirudin production fromSaccharomyces cerevisiae
Kim, C. H., Rao, K. J., Youn, D. J., & Rhee, S. K. (2003) · Biotechnology and Bioprocess Engineering · doi:10.1007/bf02949222 · Cited by 14
Optimisation of agitation and aeration in fermenters
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Existence of β-methylnorleucine in recombinant hirudin produced by Escherichia coli
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Effect of pH on the production of lipolyzed butter oil by a calf pregastric esterase immobilized in a hollow-fiber reactor: I. Uniresponse kinetics
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Experimental behavior of a whole cell immobilized dextransucrase biocatalyst in batch and packed bed reactors
Quirasco, M., Remaud‐Siméon, M., MONSAN, P. F., & López-Munguı́a, A. (1999) · Bioprocess Engineering · doi:10.1007/s004490050593 · Cited by 13
A new control strategy for yeast production based on the L/A* approach
Dantigny, P., Ninow, J. L., & Lakrori, M. (1991) · Applied Microbiology and Biotechnology · doi:10.1007/bf00208155 · Cited by 12
Fermentation scale up for recombinant K99 antigen production cloned in Escherichia coli MC1061
Wong, I., Hernández, A., Garcı́a, M. A., Segura, R. L., & Rodrı́guez, I. (2002) · Process Biochemistry · doi:10.1016/s0032-9592(01)00299-0 · Cited by 12
Capillary Electrophoresis in the Analysis and Monitoring of Biotechnological Processes
Klyushnichenko, V. (2004) · Humana Press eBooks · doi:10.1385/1-59259-798-x:077 · Cited by 7
Fuzzy-aided estimation of biological parameters based on material balances
Horiuchi, J., & Kishimoto, M. (1998) · Journal of Fermentation and Bioengineering · doi:10.1016/s0922-338x(98)80042-1 · Cited by 6
Model Based Sequential Experimental Design for Bioprocess Optimisation — an Overview
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Research works printed but not linked: 3

Hammond SV (1992) NIR analysis of antibiotic fermentation. In: Murray I, Cowe IA (eds) Making light work: advances in near infrared spectroscopy, vol 1. VCH, New York, pp 584–589
Hammond SV, Brookes IK (1992) Near infrared spectroscopy—a powerful technique for at-line and on-line analysis of fermentations. In: Ladisch MR, Bose A (eds) Harnessing biotechnology for the 21st century: proceedings of the 9th international symposium and exhibition. Am Chem Soc, Washington DC, pp 325–333
Oniscu C, Galaction AI, Cascaval D, Ungureanu F (2001) Modelling of mixing in stirred bioreactors 1. Mixing time for non-aerated simulated broths. Roum Biotechnol Lett 6:119–129

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Authors: Schmidt, F. R.
Affiliations: Sanofi (Germany) (DE)
Corresponding author: Schmidt, F. R.
Venue: Applied Microbiology and Biotechnology
Publisher: Springer Science and Business Media LLC
Published: 2005-07-07
Volume: 68
Issue: 4
Pages: 425-435
ISSN: 0175-7598 (ISSN-L)
1432-0614
DOI: 10.1007/s00253-005-0003-0
OpenAlex: W2024244058
Cited by: 362
References: 100
Citations by year: 2026: 23 · 2025: 37 · 2024: 29 · 2023: 25 · 2022: 20 · 2021: 18 · 2020: 24 · 2019: 19 · 2018: 26 · 2017: 18 · 2016: 19 · 2015: 12 · 2014: 12 · 2013: 12 · 2012: 17
FWCI: 0.67
Type: journal article
Language: en
Update notices: erratum (2005-10-01)
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Applied Microbiology and Biotechnology (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Fluid Dynamics and Mixing
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
Keywords: industrial fermentation, process optimization, scale-up, process characterization, microbial stress, product yield, product quality, in situ monitoring, online measurement, chemometrics, artificial neural networks, computational fluid dynamics, Escherichia coli, dimensionless parameters
MeSH terms: Computer Simulation, Facility Design and Construction, Fermentation, Industrial Microbiology, Cell Culture Techniques, Bioreactors

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Optimization and scale up of industrial fermentation processes

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