Literature DB >> 33221379

Understanding gradients in industrial bioreactors.

Gisela Nadal-Rey1, Dale D McClure2, John M Kavanagh2, Sjef Cornelissen3, David F Fletcher2, Krist V Gernaey4.   

Abstract

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.

Keywords:  Bioreactor; Compartment model; Computational Fluid Dynamics (CFD); Gradients; Industrial fermentation processes; Kinetic modelling; Microbial physiology; Scale-down; Scale-up; Sensor particles

Year:  2020        PMID: 33221379     DOI: 10.1016/j.biotechadv.2020.107660

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  6 in total

1.  Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments.

Authors:  Benjamin Bayer; Mark Duerkop; Gerald Striedner; Bernhard Sissolak
Journal:  Front Bioeng Biotechnol       Date:  2021-12-23

Review 2.  Application of bioreactor technology for cell culture-based viral vaccine production: Present status and future prospects.

Authors:  Zhongbiao Fang; Jingting Lyu; Jianhua Li; Chaonan Li; Yuxuan Zhang; Yikai Guo; Ying Wang; Yanjun Zhang; Keda Chen
Journal:  Front Bioeng Biotechnol       Date:  2022-08-09

Review 3.  Optimization and Scale-Up of Fermentation Processes Driven by Models.

Authors:  Yuan-Hang Du; Min-Yu Wang; Lin-Hui Yang; Ling-Ling Tong; Dong-Sheng Guo; Xiao-Jun Ji
Journal:  Bioengineering (Basel)       Date:  2022-09-14

4.  Stochastic parcel tracking in an Euler-Lagrange compartment model for fast simulation of fermentation processes.

Authors:  Cees Haringa; Wenjun Tang; Henk J Noorman
Journal:  Biotechnol Bioeng       Date:  2022-04-11       Impact factor: 4.395

5.  Development of a miniature bioreactor model to study the impact of pH and DOT fluctuations on CHO cell culture performance as a tool to understanding heterogeneity effects at large-scale.

Authors:  Roman Zakrzewski; Kenneth Lee; Gary J Lye
Journal:  Biotechnol Prog       Date:  2022-05-07

6.  Changes in Oxygen Availability during Glucose-Limited Chemostat Cultivations of Penicillium chrysogenum Lead to Rapid Metabolite, Flux and Productivity Responses.

Authors:  Qi Yang; Wenli Lin; Jiawei Xu; Nan Guo; Jiachen Zhao; Gaoya Wang; Yongbo Wang; Ju Chu; Guan Wang
Journal:  Metabolites       Date:  2022-01-07
  6 in total

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