2007
DOI: 10.1016/j.jprocont.2007.01.019
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Oxygen control for an industrial pilot-scale fed-batch filamentous fungal fermentation

Abstract: Industrial filamentous fungal fermentations are typically operated in fed-batch mode. Oxygen control represents an important operational challenge due to the varying biomass concentration. In this study, oxygen control is implemented by manipulating the substrate feed rate, i.e. the rate of oxygen consumption. It turns out that the setpoint for dissolved oxygen represents a trade-off since a low dissolved oxygen value favors productivity but can also induce oxygen limitation. This paper addresses the regulatio… Show more

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Cited by 55 publications
(31 citation statements)
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References 15 publications
(23 reference statements)
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“…There also exists processes such as aerospace control systems, vertical takeoff airplane (Filatov et al [2]), DC motors and high speed disk drives (Liu et al [3]), oxygen control in fed batch filamental fungal fermentation reactors (Bodizs et al [4]) whose dynamics show the characteristics of double integrator types.…”
Section: Introductionmentioning
confidence: 99%
“…There also exists processes such as aerospace control systems, vertical takeoff airplane (Filatov et al [2]), DC motors and high speed disk drives (Liu et al [3]), oxygen control in fed batch filamental fungal fermentation reactors (Bodizs et al [4]) whose dynamics show the characteristics of double integrator types.…”
Section: Introductionmentioning
confidence: 99%
“…The inlet flow rate was measured, as were the mass fractions of oxygen and carbon dioxide in the inlet and the exhaust gases. By using these quantities and a nitrogen (inert) balance, oxygen uptake rate (OUR) and carbon dioxide evolution rate (CER) and respiratory quotient (RQ) were all calculated in real‐time by computer from the following balance Equations: OUR=FinnormalVnormalCO2in−Cinertin*normalCO2in1−normalCO2out+normalCCO2out*273273+normalTnormalin*11+h*normalPnormalin*1×10−5 CER=FinnormalVCinertin*normalCCO2in1−normalCO2out+normalCCO2out−normalCCO2in*273273+normalTnormalin*11+h*normalPnormalin*1×10−5 normalRnormalQ=normalCnormalEnormalROUR …”
Section: Methodsmentioning
confidence: 99%
“…While RTO methods have primarily been developed for the more widespread continuous processes, there is also a significant interest in applying RTO to transient processes, and the process engineering literature is rich with applications to batch and semi-batch chemical processes for fine chemicals (Ruppen et al, 1998;Filippi-Bossy et al, 1989;Ubrich et al, 1999), polymerization (Kadam et al, 2007;François et al, 2004;Zafiriou and Zhu, 1990;Clarke-Pringle and Mac Gregor, 1998), distillation (Welz et al, 2008), crystallization (Fiordalis and Georgakis, 2013), and bio-processes (Visser et al, 2000;Bodizs et al, 2007). A review of RTO for batch processes is given by Bonvin et al (2002).…”
Section: Ma For Run-to-run Optimization Of Dynamic Processesmentioning
confidence: 99%