Topic
Bioprocess
About: Bioprocess is a research topic. Over the lifetime, 2219 publications have been published within this topic receiving 50972 citations.
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01 Jan 2009
TL;DR: Computational Intelligence Techniques For Bioprocess Modelling Supervision and Control Studies In Computational Intelligence that can be your partner.
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23 citations
TL;DR: Conceptually, the whole set of biochemical reactions that take place in the microbial cell factory should be considered and this is valid for processes involving natural and/or recombinant products in wild type and/ or engineered hosts.
Abstract: When today scientists and bioprocess engineers look at a Microbial Cell Factory for the production of a protein or a metabolite of commercial or research interest, they think at the microorganism of choice first from a (i) molecular, then from a (ii) metabolic and finally from a (iii) process point of view. Analyses and manipulations of the pathway(s) involved in the synthesis of the desired product and how this pathway(s) interacts with the overall cell functions and activities are indeed steps required to obtain high yield of the product (g of compound per g of substrate), high production (g/l) and high productivity (g/l/h). Conceptually, the whole set of biochemical reactions that take place in the microbial cell factory should be considered. This is valid for processes involving natural and/or recombinant products in wild type and/or engineered hosts.
23 citations
TL;DR: Correlating qS and qP is of utmost importance for bioprocess observability and control and can be modeled actually by advanced metabolic flux models, but if most of these models are able to make prediction about metabolic switches still do not incorporate deviation due to biological noise, i.e. phenotypic and genotypic heterogeneity.
Abstract: Bioprocess deviations are likely to occur at different operating scales, leading in most of the case to substrate deviation from main metabolic routes and impact product synthesis. Correlating qS and qP is of utmost importance for bioprocess observability and control and can be modeled actually by advanced metabolic flux models. However, if most of these models are able to make prediction about metabolic switches, they still do not incorporate deviation due to biological noise, i.e. phenotypic and genotypic heterogeneity. These limitations impair observability and thus the use of fundamental knowledge about biological network for practical application, i.e. metabolic engineering or bioprocess scale-up.
23 citations
TL;DR: A commercially implied bioprocess developed for the co-production of PHB and violacein pigment using the Himalayan bacterium is experimentally validated for anticancerous and antimicrobial activities.
23 citations
TL;DR: A coculture bioprocess was developed with Clostridium strains producing butyric acid and Megasphaera hexanoica producing caproic acid from the butyRIC acid, with the fastest productivity higher than that previously reported.
23 citations