49. Löffler M, Simen JD, Müller J, Jäger G, Laghrami S, Schäferhoff K, Freund A, Takors R (2017)
Switching between nitrogen and glucose limitation: unraveling transcriptional dynamics in
Escherichia coli. J Biotechnol 258(April):2–12. https://doi.org/10.1016/j.jbiotec.2017.04.011
50. Liné A, Gabelle JC, Morchain J, Anne-Archard D, Augier F (2013) On POD analysis of PIV
measurements applied to mixing in a stirred vessel with a shear thinning fluid. Chem Eng Res
Des 91(11):2073–2083. https://doi.org/10.1016/j.cherd.2013.05.002
51. Noorman H (2011) An industrial perspective on bioreactor scale-down: what we can learn from
combined large-scale bioprocess and model fluid studies. Biotechnol J 6(8):934–943. https://
doi.org/10.1002/biot.201000406
52. Clift R, Grace JR, Weber ME (2005) Bubbles, drops, and particles. In: Clift R, Grace JR, Weber
ME (eds) Dover books on engineering. Dover, Mineola
53. Lamont JC, Scott DS (1970) An eddy cell model of mass transfer into the surface of a turbulent
liquid. AICHE J 16(4):513–519. https://doi.org/10.1002/aic.690160403
54. Roels JA (1983) Roels JA (ed) Energetics and kinetics in biotechnology. Elsevier Biomedical
Press, Amsterdam
55. Senn H, Lendenmann U, Snozzi M, Hamer G, Egli T (1994) Biochi ~ Mic ~ a et biophysica A ~
Ta the growth of Escherichia coli in glucose-limited chemostat cultures: a re-examination of the
kinetics. Sci Technol 1201:424–436
56. Kita K, Konishi K, Anraku Y (1984) Terminal oxidases of Escherichia coli aerobic respiratory
chain. J Biol Chem 259(5):3368–3374
57. Valgepea K, Adamberg K, Vilu R (2011) Decrease of energy spilling in Escherichia coli
continuous cultures with rising specific growth rate and carbon wasting. BMC Syst Biol
5. https://doi.org/10.1186/1752-0509-5-106
58. Jain R, Srivastava R (2009) Metabolic investigation of host/pathogen interaction using
MS2-infected Escherichia coli. BMC Syst Biol 3. https://doi.org/10.1186/1752-0509-3-121
59. Hewitt CJ, Von Caron GN, Axelsson B, McFarlane CM, Nienow AW (2000) Studies related to
the scale-up of high-cell-density E. coli fed-batch fermentations using multiparameter flow
cytometry: effect of a changing microenvironment with respect to glucose and dissolved oxygen
concentration. Biotechnol Bioeng 70(4):381–390. https://doi.org/10.1002/1097-0290
(20001120)70:4<381::AID-BIT3>3.0.CO;2-0
60. Takors R (2012) Scale-up of microbial processes: impacts, tools and open questions. J
Biotechnol 160(1–2):3–9. https://doi.org/10.1016/j.jbiotec.2011.12.010
61. Ankenbauer A, Schäfer RA, Viegas SC, Pobre V, Voß B, Arraiano CM, Takors R (2020)
Pseudomonas putida KT2440 is naturally endowed to withstand industrial-scale stress conditions. Microb Biotechnol:635536. https://doi.org/10.1111/1751-7915.13571
62. Delvigne F, Takors R, Mudde R, van Gulik W, Noorman H (2017) Bioprocess scale-up/down
as integrative enabling technology: from fluid mechanics to systems biology and beyond.
Microb Biotechnol 10(5):1267–1274. https://doi.org/10.1111/1751-7915.12803
63. George S, Larsson G, Enfors SO (1993) A scale-down two-compartment reactor with controlled
substrate oscillations: metabolic response of Saccharomyces cerevisiae. Bioprocess Eng 9
(6):249–257. https://doi.org/10.1007/BF01061530
64. Sweere APJ, Mesters JR, Janse L, Luyben KCAM, Kossen NWF (1988b) Experimental
simulation of oxygen profiles and their influence on Baker’s yeast production: I. One-fermentor
system. Biotechnol Bioeng 31(6):567–578. https://doi.org/10.1002/bit.260310609
65. Enfors SO, Jahic M, Rozkov A, Xu B, Hecker M, Jürgen B, Krüger E et al (2001) Physiological
responses to mixing in large scale bioreactors. J Biotechnol 85(2):175–185. https://doi.org/10.
1016/S0168-1656(00)00365-5
66. Delvigne F, Lejeune A, Destain J, Thonart P (2006) Stochastic models to study the impact of
mixing on a fed-batch culture of Saccharomyces cerevisiae. Biotechnol Prog 22(1):259–269.
https://doi.org/10.1021/bp050255m
67. Sastre R, Rosa ZC, Perner-Nochta I, Fleck-Schneider P, Posten C (2007) Scale-down of
microalgae cultivations in tubular photo-bioreactors-A conceptual approach. J Biotechnol 132
(2):127–133. https://doi.org/10.1016/j.jbiotec.2007.04.022
Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance. . .
253
Switching between nitrogen and glucose limitation: unraveling transcriptional dynamics in
Escherichia coli. J Biotechnol 258(April):2–12. https://doi.org/10.1016/j.jbiotec.2017.04.011
50. Liné A, Gabelle JC, Morchain J, Anne-Archard D, Augier F (2013) On POD analysis of PIV
measurements applied to mixing in a stirred vessel with a shear thinning fluid. Chem Eng Res
Des 91(11):2073–2083. https://doi.org/10.1016/j.cherd.2013.05.002
51. Noorman H (2011) An industrial perspective on bioreactor scale-down: what we can learn from
combined large-scale bioprocess and model fluid studies. Biotechnol J 6(8):934–943. https://
doi.org/10.1002/biot.201000406
52. Clift R, Grace JR, Weber ME (2005) Bubbles, drops, and particles. In: Clift R, Grace JR, Weber
ME (eds) Dover books on engineering. Dover, Mineola
53. Lamont JC, Scott DS (1970) An eddy cell model of mass transfer into the surface of a turbulent
liquid. AICHE J 16(4):513–519. https://doi.org/10.1002/aic.690160403
54. Roels JA (1983) Roels JA (ed) Energetics and kinetics in biotechnology. Elsevier Biomedical
Press, Amsterdam
55. Senn H, Lendenmann U, Snozzi M, Hamer G, Egli T (1994) Biochi ~ Mic ~ a et biophysica A ~
Ta the growth of Escherichia coli in glucose-limited chemostat cultures: a re-examination of the
kinetics. Sci Technol 1201:424–436
56. Kita K, Konishi K, Anraku Y (1984) Terminal oxidases of Escherichia coli aerobic respiratory
chain. J Biol Chem 259(5):3368–3374
57. Valgepea K, Adamberg K, Vilu R (2011) Decrease of energy spilling in Escherichia coli
continuous cultures with rising specific growth rate and carbon wasting. BMC Syst Biol
5. https://doi.org/10.1186/1752-0509-5-106
58. Jain R, Srivastava R (2009) Metabolic investigation of host/pathogen interaction using
MS2-infected Escherichia coli. BMC Syst Biol 3. https://doi.org/10.1186/1752-0509-3-121
59. Hewitt CJ, Von Caron GN, Axelsson B, McFarlane CM, Nienow AW (2000) Studies related to
the scale-up of high-cell-density E. coli fed-batch fermentations using multiparameter flow
cytometry: effect of a changing microenvironment with respect to glucose and dissolved oxygen
concentration. Biotechnol Bioeng 70(4):381–390. https://doi.org/10.1002/1097-0290
(20001120)70:4<381::AID-BIT3>3.0.CO;2-0
60. Takors R (2012) Scale-up of microbial processes: impacts, tools and open questions. J
Biotechnol 160(1–2):3–9. https://doi.org/10.1016/j.jbiotec.2011.12.010
61. Ankenbauer A, Schäfer RA, Viegas SC, Pobre V, Voß B, Arraiano CM, Takors R (2020)
Pseudomonas putida KT2440 is naturally endowed to withstand industrial-scale stress conditions. Microb Biotechnol:635536. https://doi.org/10.1111/1751-7915.13571
62. Delvigne F, Takors R, Mudde R, van Gulik W, Noorman H (2017) Bioprocess scale-up/down
as integrative enabling technology: from fluid mechanics to systems biology and beyond.
Microb Biotechnol 10(5):1267–1274. https://doi.org/10.1111/1751-7915.12803
63. George S, Larsson G, Enfors SO (1993) A scale-down two-compartment reactor with controlled
substrate oscillations: metabolic response of Saccharomyces cerevisiae. Bioprocess Eng 9
(6):249–257. https://doi.org/10.1007/BF01061530
64. Sweere APJ, Mesters JR, Janse L, Luyben KCAM, Kossen NWF (1988b) Experimental
simulation of oxygen profiles and their influence on Baker’s yeast production: I. One-fermentor
system. Biotechnol Bioeng 31(6):567–578. https://doi.org/10.1002/bit.260310609
65. Enfors SO, Jahic M, Rozkov A, Xu B, Hecker M, Jürgen B, Krüger E et al (2001) Physiological
responses to mixing in large scale bioreactors. J Biotechnol 85(2):175–185. https://doi.org/10.
1016/S0168-1656(00)00365-5
66. Delvigne F, Lejeune A, Destain J, Thonart P (2006) Stochastic models to study the impact of
mixing on a fed-batch culture of Saccharomyces cerevisiae. Biotechnol Prog 22(1):259–269.
https://doi.org/10.1021/bp050255m
67. Sastre R, Rosa ZC, Perner-Nochta I, Fleck-Schneider P, Posten C (2007) Scale-down of
microalgae cultivations in tubular photo-bioreactors-A conceptual approach. J Biotechnol 132
(2):127–133. https://doi.org/10.1016/j.jbiotec.2007.04.022
Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance. . .
253