Twelve quick tips for designing sound dynamical models for bioprocesses

Because of the inherent complexity of bioprocesses, mathematical models are more and more used for process design, control, optimization, etc. These models are generally based on a set of biochemical reactions. Model equations are then derived from mass balance, coupled with empirical kinetics. Biol...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 15; no. 8; p. e1007222
Main Authors:	Mairet, Francis, Bernard, Olivier
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 22.08.2019 PLOS Public Library of Science (PLoS)
Subjects:	Algae Algorithms Automatic Control Engineering Biochemistry Bioengineering Biological models (mathematics) Biological Phenomena Biology Biology and Life Sciences Biophysical Phenomena Biotechnology Calibration Complexity Computational Biology Computer and Information Sciences Computer Science Computer Simulation Design optimization Education Empirical equations Growth models Kinetics Mass balance Mathematical Concepts Mathematical models Metabolism Metabolites Methods Models, Biological Nonlinear Dynamics Objectives Optimization Parameter identification Physical Sciences Plankton Reaction kinetics Reengineering (Management) Research and analysis methods Temperature effects France
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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