Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control

This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimati...

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Main Authors: A. Amicarelli, F. di Sciascio, J. M. Toibero, H. Alvarez
Format: Article
Language:English
Published: Brazilian Society of Chemical Engineering 2010-03-01
Series:Brazilian Journal of Chemical Engineering
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000100004
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spelling doaj-a4425e48f99e4682b166ce046a2453f12020-11-24T21:08:08ZengBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering0104-66321678-43832010-03-01271416210.1590/S0104-66322010000100004Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process controlA. AmicarelliF. di SciascioJ. M. ToiberoH. AlvarezThis paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000100004Dissolved Oxygen Phenomenological ModelBatch ProcessesBiotechnological ProcessesParameter EstimationDissolved Oxygen Control
collection DOAJ
language English
format Article
sources DOAJ
author A. Amicarelli
F. di Sciascio
J. M. Toibero
H. Alvarez
spellingShingle A. Amicarelli
F. di Sciascio
J. M. Toibero
H. Alvarez
Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
Brazilian Journal of Chemical Engineering
Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
Dissolved Oxygen Control
author_facet A. Amicarelli
F. di Sciascio
J. M. Toibero
H. Alvarez
author_sort A. Amicarelli
title Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_short Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_full Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_fullStr Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_full_unstemmed Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_sort including dissolved oxygen dynamics into the bt δ-endotoxins production process model and its application to process control
publisher Brazilian Society of Chemical Engineering
series Brazilian Journal of Chemical Engineering
issn 0104-6632
1678-4383
publishDate 2010-03-01
description This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.
topic Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
Dissolved Oxygen Control
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000100004
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