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International Journal of Chemical Reactor Engineering

Ed. by de Lasa, Hugo / Xu, Charles Chunbao

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1542-6580
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Substrate Feeding Strategy Integrated with a Biomass Bayesian Estimator for a Biotechnological Process

Adriana Amicarelli
  • Corresponding author
  • Instituto de Automática (INAUT), Universidad Nacional de San Juan, Av. Libertador San Martín 1109 (oeste), J5400ARL, San Juan, Argentina
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/ Lucía Quintero Montoya / Fernando di Sciascio
  • Instituto de Automática (INAUT), Universidad Nacional de San Juan, Av. Libertador San Martín 1109 (oeste), J5400ARL, San Juan, Argentina
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Published Online: 2016-04-01 | DOI: https://doi.org/10.1515/ijcre-2015-0182

Abstract

This work proposes a substrate feeding strategy for a bioprocess integrated with a biomass estimator based in nonlinear filtering techniques. The performance of the proposed estimator and the substrate strategy are illustrated for the δ-endotoxin production of Bacillus thuringiensis (Bt) in batch and fed batch cultures. Nonlinear filtering techniques constitutes an adequate option as estimation tool because of the strongly nonlinear dynamics of this bioprocess and also due to nature of the uncertainties and perturbations that cannot be supposed Gaussians distributed. Biomass estimation is performed from substrate and dissolved oxygen. Substrate feeding strategy is intended to obtain high product concentration. Simulations results along with their experimental verifications demonstrate the acceptable performance of the proposed biomass estimator and the substrate feeding strategy.

Keywords: biomass estimation; nonlinear filtering; Bayes theory; fed batch process; substrate feeding strategy

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About the article

Published Online: 2016-04-01

Published in Print: 2016-12-01


Citation Information: International Journal of Chemical Reactor Engineering, Volume 14, Issue 6, Pages 1187–1200, ISSN (Online) 1542-6580, ISSN (Print) 2194-5748, DOI: https://doi.org/10.1515/ijcre-2015-0182.

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