Literature DB >> 20416962

Application of mechanistic models to fermentation and biocatalysis for next-generation processes.

Krist V Gernaey1, Anna Eliasson Lantz, Pär Tufvesson, John M Woodley, Gürkan Sin.   

Abstract

Mechanistic models are based on deterministic principles, and recently, interest in them has grown substantially. Herein we present an overview of mechanistic models and their applications in biotechnology, including future perspectives. Model utility is highlighted with respect to selection of variables required for measurement, control and process design. In the near future, mechanistic models with a higher degree of detail will play key roles in the development of efficient next-generation fermentation and biocatalytic processes. Moreover, mechanistic models will be used increasingly in the frame of multi-objective decision-making under uncertainty and to promote increased selectivity of products.

Mesh:

Year:  2010        PMID: 20416962     DOI: 10.1016/j.tibtech.2010.03.006

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  9 in total

1.  Usage of Digital Twins Along a Typical Process Development Cycle.

Authors:  Peter Sinner; Sven Daume; Christoph Herwig; Julian Kager
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

Review 2.  Review of microfluidic microbioreactor technology for high-throughput submerged microbiological cultivation.

Authors:  Hanaa M Hegab; Ahmed Elmekawy; Tim Stakenborg
Journal:  Biomicrofluidics       Date:  2013-04-05       Impact factor: 2.800

3.  Towards the Development of Digital Twins for the Bio-manufacturing Industry.

Authors:  Carina L Gargalo; Simoneta Caño de Las Heras; Mark Nicholas Jones; Isuru Udugama; Seyed Soheil Mansouri; Ulrich Krühne; Krist V Gernaey
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

4.  Data-based dynamic compartment model: Modeling of E. coli fed-batch fermentation in a 600 m3 bubble column.

Authors:  Jonas Bisgaard; James A Zahn; Tannaz Tajsoleiman; Tue Rasmussen; Jakob K Huusom; Krist V Gernaey
Journal:  J Ind Microbiol Biotechnol       Date:  2022-10-13       Impact factor: 4.258

Review 5.  Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology.

Authors:  Michalis Koutinas; Alexandros Kiparissides; Efstratios N Pistikopoulos; Athanasios Mantalaris
Journal:  Comput Struct Biotechnol J       Date:  2013-03-10       Impact factor: 7.271

Review 6.  Advances in monitoring and control of refolding kinetics combining PAT and modeling.

Authors:  Jan Niklas Pauk; Janani Raju Palanisamy; Julian Kager; Krisztina Koczka; Gerald Berghammer; Christoph Herwig; Lukas Veiter
Journal:  Appl Microbiol Biotechnol       Date:  2021-02-17       Impact factor: 4.813

7.  Mechanistic model for production of recombinant adeno-associated virus via triple transfection of HEK293 cells.

Authors:  Tam N T Nguyen; Sha Sha; Moo Sun Hong; Andrew J Maloney; Paul W Barone; Caleb Neufeld; Jacqueline Wolfrum; Stacy L Springs; Anthony J Sinskey; Richard D Braatz
Journal:  Mol Ther Methods Clin Dev       Date:  2021-04-16       Impact factor: 6.698

8.  Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes.

Authors:  Carina L Gargalo; Isuru Udugama; Katrin Pontius; Pau C Lopez; Rasmus F Nielsen; Aliyeh Hasanzadeh; Seyed Soheil Mansouri; Christoph Bayer; Helena Junicke; Krist V Gernaey
Journal:  J Ind Microbiol Biotechnol       Date:  2020-09-07       Impact factor: 3.346

9.  Three-level hybrid modeling for systematic optimization of biocatalytic synthesis: α-glucosyl glycerol production by enzymatic trans-glycosylation from sucrose.

Authors:  Alexander Sigg; Mario Klimacek; Bernd Nidetzky
Journal:  Biotechnol Bioeng       Date:  2021-07-28       Impact factor: 4.530

  9 in total

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