Experimental optimization of a real time fed-batch fermentation process using Markov decision process

Saucedo, Victor M.; Karim, M. Nazmul

doi:10.1002/(sici)1097-0290(19970720)55:2<317::aid-bit9>3.0.co;2-l

Cited by 13 publications

(6 citation statements)

References 29 publications

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“…It is designed for the purpose of searching mathematical expressions and minimizing possible error matrices. With MDP, a mathematical framework is generated for optimizing problems under stochastic environment and forecasting successive action interference [47]. It performs calculations to explore whether the system is likely to work prior to assembly.…”

Section: Bioreactors For Vascular Bypass Graftsmentioning

confidence: 99%

Bioreactors for tissue engineering: An update

Zhao

Griffin

Cai

et al. 2016

Biochemical Engineering Journal

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One of the greatest puzzles in wound healing is how to substitute or replace the defect caused by loss and damaged tissue or organs. In regenerative medicine, Tissue Engineering has been proposed to supply this demand by generating tissues in vitro. Bioreactors are the key to translate these cells and tissue-based constructs into large-scale biological products that are clinically effective, safe and financially pliable. In this review, we summarise the different upto-date bioreactor designs being used for different cell types and special design scaffolds, and highlight advantages of different bioreactors, current challenges and the future trends. It is our belief that with efforts combined from multiple disciplinary participants, a novel bioreactor system that is capable of fast, large scale tissue culture would come about in near future.

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Section: Bioreactors For Vascular Bypass Graftsmentioning

confidence: 99%

Bioreactors for tissue engineering: An update

Zhao

Griffin

Cai

et al. 2016

Biochemical Engineering Journal

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“…In the field of fermentation optimization, several studies focus on developing models for cell growth and product formation (Patel et al 2000, Tsao et al 2004, Xing et al 2010. These cell growth models are also incorporated into optimization models to determine the optimal control policies that increase the titer (Saucedo and Karim 1997, Yang et al 2000, Peroni et al 2005, Gnoth et al 2007, Martagan et al 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In practice, these controls correspond to manufacturing protocols related to the choice of buffers, adjustment of physical and biological parameters, feeding strategies, etc. Determining these controls itself is a process design problem (see Saucedo and Karim 1997, Yang et al 2000, Xing et al 2010, Martagan et al 2016, and is outside our scope. Instead, we are interested in determining the protein amount p 1 to be produced in the upstream fermentation operation.…”

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confidence: 99%

Managing Trade-offs in Protein Manufacturing: How Much to Waste?

Martagan

Krishnamurthy²,

Leland

2020

M&SOM

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DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Hodge and Karim have employed a nonlinear model predictive control algorithm that uses a sequential solution to predict solutions to the optimal control problem in real time and maximize fed‐batch ethanol production by recombinant Zymomonas mobilis . Additionally, work by Saucedo and Karim has shown that the use of input–output models for the real time optimization and control of fed‐batch cultivation processes can be used to enhance ethanol production in Escherichia coli systems . Further work by Sridhar and Saucedo has shown the existence of globally optimal solutions to the optimal control problem of continuous production of ethanol via Saccharomyces cerevisiae using the dilution rate or mass transfer coefficient as decision variables .…”

Section: Introductionmentioning

confidence: 99%

Economic improvement of continuous pharmaceutical production via the optimal control of a multifeed bioreactor

Raftery

DeSessa

Karim

2017

Biotechnology Progress

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Projections on the profitability of the pharmaceutical industry predict a large amount of growth in the coming years. Stagnation over the last 20 years in product development has led to the search for new processing methods to improve profitability by reducing operating costs or improving process productivity. This work proposes a novel multifeed bioreactor system composed of independently controlled feeds for substrate(s) and media used that allows for the free manipulation of the bioreactor supply rate and substrate concentrations to maximize bioreactor productivity and substrate utilization while reducing operating costs. The optimal operation of the multiple feeds is determined a priori as the solution of a dynamic optimization problem using the kinetic models describing the time-variant bioreactor concentrations as constraints. This new bioreactor paradigm is exemplified through the intracellular production of beta-carotene using a three feed bioreactor consisting of separate glucose, ethanol and media feeds. The performance of a traditional bioreator with a single substrate feed is compared to that of a bioreactor with multiple feeds using glucose and/or ethanol as substrate options. Results show up to a 30% reduction in the productivity with the addition of multiple feeds, though all three systems show an improvement in productivity when compared to batch production. Additionally, the breakeven selling price of beta-carotene is shown to decrease by at least 30% for the multifeed bioreactor when compared to the single feed counterpart, demonstrating the ability of the multifeed reactor to reduce operating costs in bioreactor systems. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:902-912, 2017.

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Experimental optimization of a real time fed-batch fermentation process using Markov decision process

Cited by 13 publications

References 29 publications

Bioreactors for tissue engineering: An update

Bioreactors for tissue engineering: An update

Managing Trade-offs in Protein Manufacturing: How Much to Waste?

Economic improvement of continuous pharmaceutical production via the optimal control of a multifeed bioreactor

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