Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/176620
Title: A Model-driven Approach towards Rational Microbial Bioprocess Optimization
Other Titles: Model-driven Bioprocess Optimization
Toward an integrated experimental-modeling approach in scale-up microbial bioprocess optimization
Authors: YEOH JING WUI 
SUDHAGHAR S/O JAYARAMAN 
TAN GUO-DONG, SEAN 
JAYARAMAN PREMKUMAR 
HOLOWKO, MACIEJ BARTOSZ 
ZHANG JINGYUN 
KANG CHANG-WEI
LEO HWA LIANG 
POH CHUEH LOO 
Keywords: Cell kinetic model
Computational fluid dynamics
Bioreactor
Bioprocess development
Optimization design
Model-based design
Issue Date: Sep-2020
Citation: YEOH JING WUI, SUDHAGHAR S/O JAYARAMAN, TAN GUO-DONG, SEAN, JAYARAMAN PREMKUMAR, HOLOWKO, MACIEJ BARTOSZ, ZHANG JINGYUN, KANG CHANG-WEI, LEO HWA LIANG, POH CHUEH LOO (2020-09). A Model-driven Approach towards Rational Microbial Bioprocess Optimization. Biotechnology and Bioengineering. ScholarBank@NUS Repository.
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Due to sustainability concerns, bio-based production capitalizing on microbes as cell factories is in demand to synthesize valuable products. Nevertheless, the non-homogenous variations of the extracellular environment in bioprocesses often challenge the biomass growth and the bioproduction yield. To enable a more rational bioprocess optimization, we have established a model-driven approach that systematically integrates experiments with modelling, executed from flask to bioreactor scale, using ferulic acid to vanillin bioconversion as a case study. The impacts of mass transfer and aeration on the biomass growth and bioproduction performances were examined using minimal small-scale experiments. An integrated model coupling the cell factory kinetics with the 3D computational hydrodynamics of bioreactor was developed to better capture the spatiotemporal distributions of bioproduction. Full-factorial predictions were then performed to identify the desired operating conditions. A bioconversion yield of 94% was achieved, which is one of the highest for recombinant Escherichia coli using ferulic acid as the precursor.
Source Title: Biotechnology and Bioengineering
URI: https://scholarbank.nus.edu.sg/handle/10635/176620
ISSN: 00063592
10970290
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Main_Manuscript.pdfMain manuscript of preprint1.6 MBAdobe PDF

OPEN

Pre-printView/Download
Supplementary_Material.pdfSupplementary information2.87 MBAdobe PDF

OPEN

Pre-printView/Download
Graphical Abstract.tifGraphical Abstract3.52 MBTIFF

OPEN

Pre-printThumbnail
View/Download

Page view(s)

33
checked on Dec 3, 2020

Download(s)

4
checked on Dec 3, 2020

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons