title: Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology.
abstract: The complexity of the regulatory network and the interactions that occur in the intracellular environment of microorganisms highlight the importance in developing tractable mechanistic models of cellular functions and systematic approaches for modelling biological systems. To this end, the existing process systems engineering approaches can serve as a vehicle for understanding, integrating and designing biological systems and processes. Here, we review the application of a holistic approach for the development of mathematical models of biological systems, from the initial conception of the model to its final application in model-based control and optimisation. We also discuss the use of mechanistic models that account for gene regulation, in an attempt to advance the empirical expressions traditionally used to describe micro-organism growth kinetics, and we highlight current and future challenges in mathematical biology. The modelling research framework discussed herein could prove beneficial for the design of optimal bioprocesses, employing rational and feasible approaches towards the efficient production of chemicals and pharmaceuticals.
authors.affiliation: Department of Environmental Science and Technology, Cyprus University of Technology, 95 Irinis Street, 3041, Limassol, Cyprus.
authors.forename: Michalis
authors.initials: M
authors.lastname: Koutinas
authors.affiliation: Centre for Process Systems Engineering, Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ, London, United Kingdom.
authors.forename: Alexandros
authors.initials: A
authors.lastname: Kiparissides
authors.affiliation: Centre for Process Systems Engineering, Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ, London, United Kingdom.
authors.forename: Efstratios N
authors.initials: EN
authors.lastname: Pistikopoulos
authors.affiliation: Centre for Process Systems Engineering, Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ, London, United Kingdom.
authors.forename: Athanasios
authors.initials: A
authors.lastname: Mantalaris
keywords: Biological systems model development; Genetic circuit; Mechanistic model; Metabolic engineering; Model analysis; Sensitivity analysis