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The development of an industrial-scale fed-batch fermentation simulation.
Goldrick, Stephen; Stefan, Andrei; Lovett, David; Montague, Gary; Lennox, Barry.
Afiliación
  • Goldrick S; Biopharmaceutical Bioprocess Technology Centre, Merz Court, Newcastle University, Newcastle-upon-Tyne, United Kingdom; Control Systems Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom; Perceptive Engineering Limited, Vanguard House, Keckwic
  • Stefan A; Control Systems Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
  • Lovett D; Perceptive Engineering Limited, Vanguard House, Keckwick Lane, Daresbury, Cheshire, United Kingdom.
  • Montague G; Biopharmaceutical Bioprocess Technology Centre, Merz Court, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
  • Lennox B; Control Systems Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom. Electronic address: barry.lennox@manchester.ac.uk.
J Biotechnol ; 193: 70-82, 2015 Jan 10.
Article en En | MEDLINE | ID: mdl-25449107
ABSTRACT
This paper describes a simulation of an industrial-scale fed-batch fermentation that can be used as a benchmark in process systems analysis and control studies. The simulation was developed using a mechanistic model and validated using historical data collected from an industrial-scale penicillin fermentation process. Each batch was carried out in a 100,000 L bioreactor that used an industrial strain of Penicillium chrysogenum. The manipulated variables recorded during each batch were used as inputs to the simulator and the predicted outputs were then compared with the on-line and off-line measurements recorded in the real process. The simulator adapted a previously published structured model to describe the penicillin fermentation and extended it to include the main environmental effects of dissolved oxygen, viscosity, temperature, pH and dissolved carbon dioxide. In addition the effects of nitrogen and phenylacetic acid concentrations on the biomass and penicillin production rates were also included. The simulated model predictions of all the on-line and off-line process measurements, including the off-gas analysis, were in good agreement with the batch records. The simulator and industrial process data are available to download at www.industrialpenicillinsimulation.com and can be used to evaluate, study and improve on the current control strategy implemented on this facility.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Microbiología Industrial / Reactores Biológicos / Técnicas de Cultivo Celular por Lotes Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Microbiología Industrial / Reactores Biológicos / Técnicas de Cultivo Celular por Lotes Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article
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