Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique

A modified Markov Chain Monte Carlo (MCMC) searching procedure was developed to search for an optimal set of decision variables and optimal feed rate trajectories for recombinant α-amylase expression by Bacillus subtilis ATCC 6051a. The bacterium also synthesizes proteases as undesirable products in...

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Main Authors: Wanwisa Skolpap, Somboon Nuchprayoon, Jeno M. Scharer, Nurak Grisdanurak, Peter L. Douglas, Murray Moo-Young
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/60223
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-602232018-09-10T03:39:59Z Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique Wanwisa Skolpap Somboon Nuchprayoon Jeno M. Scharer Nurak Grisdanurak Peter L. Douglas Murray Moo-Young Chemical Engineering Chemistry A modified Markov Chain Monte Carlo (MCMC) searching procedure was developed to search for an optimal set of decision variables and optimal feed rate trajectories for recombinant α-amylase expression by Bacillus subtilis ATCC 6051a. The bacterium also synthesizes proteases as undesirable products in fed-batch culture that need to be minimized. To maximize α-amylase productivity, a 14th-order fed-batch model was optimized by integrating Pontryagin's maximum principle with the Luedeking-Piret equation. The number of iterations and simulations of the proposed searching procedure were statistically examined for accuracy and acceptability of the results. It can be concluded that the proposed searching procedure increased the parameter selection opportunity near the tail ends of redefined triangular distribution. By applying a modified MCMC searching procedure with 1,500 iterations, the predicted α-amylase productivity was improved by 18% in comparison with near-optimum experimental results. This productivity was 3.5% higher than predicted by conventional MCMC optimization. © 2008 Springer. 2018-09-10T03:39:33Z 2018-09-10T03:39:33Z 2008-07-01 Journal 02561115 2-s2.0-52349110872 10.1007/s11814-008-0107-1 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=52349110872&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60223
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Chemical Engineering
Chemistry
spellingShingle Chemical Engineering
Chemistry
Wanwisa Skolpap
Somboon Nuchprayoon
Jeno M. Scharer
Nurak Grisdanurak
Peter L. Douglas
Murray Moo-Young
Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
description A modified Markov Chain Monte Carlo (MCMC) searching procedure was developed to search for an optimal set of decision variables and optimal feed rate trajectories for recombinant α-amylase expression by Bacillus subtilis ATCC 6051a. The bacterium also synthesizes proteases as undesirable products in fed-batch culture that need to be minimized. To maximize α-amylase productivity, a 14th-order fed-batch model was optimized by integrating Pontryagin's maximum principle with the Luedeking-Piret equation. The number of iterations and simulations of the proposed searching procedure were statistically examined for accuracy and acceptability of the results. It can be concluded that the proposed searching procedure increased the parameter selection opportunity near the tail ends of redefined triangular distribution. By applying a modified MCMC searching procedure with 1,500 iterations, the predicted α-amylase productivity was improved by 18% in comparison with near-optimum experimental results. This productivity was 3.5% higher than predicted by conventional MCMC optimization. © 2008 Springer.
format Journal
author Wanwisa Skolpap
Somboon Nuchprayoon
Jeno M. Scharer
Nurak Grisdanurak
Peter L. Douglas
Murray Moo-Young
author_facet Wanwisa Skolpap
Somboon Nuchprayoon
Jeno M. Scharer
Nurak Grisdanurak
Peter L. Douglas
Murray Moo-Young
author_sort Wanwisa Skolpap
title Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
title_short Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
title_full Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
title_fullStr Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
title_full_unstemmed Fed-batch optimization of recombinant α-amylase production by Bacillus subtilis using a modified Markov Chain monte carlo technique
title_sort fed-batch optimization of recombinant α-amylase production by bacillus subtilis using a modified markov chain monte carlo technique
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=52349110872&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/60223
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