1. Numerical Tools for Scaling Up Bioreactors
- Author
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Jérôme Morchain, Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés (LISBP), Institut National de la Recherche Agronomique (INRA)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Recherche Agronomique (INRA), and Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
scale-up ,[SDV.BIO]Life Sciences [q-bio]/Biotechnology ,Scale (ratio) ,Population ,population ,Mechanical engineering ,bioréacteur ,02 engineering and technology ,Biology ,bioreactor ,population cellulaire ,ingénierie métabolique ,020401 chemical engineering ,Mass transfer ,metabolic model ,population dynamics ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,Growth rate ,0204 chemical engineering ,education ,Scaling ,cell population ,education.field_of_study ,Steady state ,gas-liquid ,population microbienne ,probabilities ,modeling ,cell ,équilibre des populations ,021001 nanoscience & nanotechnology ,hétérogénéité environnementale ,Micromixing ,dynamique des populations ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,probabilité ,hydrodynamics ,SCALE-UP ,cellule ,heterogeneity ,metabolic engineering ,0210 nano-technology ,Biological system ,reduced model - Abstract
The present paper focuses on the development of a population balance model (PBM) accounting for microbial population dynamics in a fluctuating environment. Heterogeneity within the cell population has two origins: extrinsic/intrinsic noises (cell to cell variability due to biological processes) and external noise (due to fluctuations in the cell environment). Modelling the effects of concentration gradients on the population heterogeneity was addressed in previous works using a population balance model based on the specific growth rate. However that model was unable to predict the distribution of specific growth rates experimentally observed at steady state. Using recent experimental data, we now propose a suitable law for the probability that cells growing at a given specific rate produce daughter cells with a different growth rate. Characteristic times of substrate assimilation and mixing at the cell scale are then combined to produce a generic model for substrate uptake limited by micromixing. The simulated results compare favorably to experimental observations leading to a robust multiscale model for bioreactor dynamics combining liquid-cell mass transfer and population heterogeneity
- Published
- 2017