Understanding gradients in industrial bioreactors.

Autor: Nadal-Rey G; Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark., McClure DD; The University of Sydney, School of Chemical and Biomolecular Engineering, Building J01, Camperdown 2006, NSW, Australia., Kavanagh JM; The University of Sydney, School of Chemical and Biomolecular Engineering, Building J01, Camperdown 2006, NSW, Australia., Cornelissen S; Novozymes A/S, Fermentation Pilot Plant, Krogshoejvej 36, 2880 Bagsvaerd, Denmark., Fletcher DF; The University of Sydney, School of Chemical and Biomolecular Engineering, Building J01, Camperdown 2006, NSW, Australia., Gernaey KV; Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark. Electronic address: kvg@kt.dtu.dk.
Jazyk: angličtina
Zdroj: Biotechnology advances [Biotechnol Adv] 2021 Jan-Feb; Vol. 46, pp. 107660. Date of Electronic Publication: 2020 Nov 19.
DOI: 10.1016/j.biotechadv.2020.107660
Abstrakt: Gradients in industrial bioreactors have attracted substantial research attention since exposure to fluctuating environmental conditions has been shown to lead to changes in the metabolome, transcriptome as well as population heterogeneity in industrially relevant microorganisms. Such changes have also been found to impact key process parameters like the yield on substrate and the productivity. Hence, understanding gradients is important from both the academic and industrial perspectives. In this review the causes of gradients are outlined, along with their impact on microbial physiology. Quantifying the impact of gradients requires a detailed understanding of both fluid flow inside industrial equipment and microbial physiology. This review critically examines approaches used to investigate gradients including large-scale experimental work, computational methods and scale-down approaches. Avenues for future work have been highlighted, particularly the need for further coordinated development of both in silico and experimental tools which can be used to further the current understanding of gradients in industrial equipment.
(Copyright © 2020 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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