Comments on: “A Sporulation Kinetic Model for Batch Growth of <i>B. thuringiensis</i>”

Atehortúa, Paula; Álvarez, Hernán; Ordúz, Sergio

doi:10.1002/cjce.5450840316

Cited by 7 publications

(9 citation statements)

References 2 publications

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“…However, during the simulation of Rivera's model an error on vegetative cell balance was detected and it was corrected [13]. Finally, the model reported by Atehortua et al [13] was used as base model.…”

Section: Fermentation Conditionsmentioning

confidence: 99%

“…Additionally, this large number of constants increases model freedom grades complicating the identification process. Thereby, recent studies [11][12][13] have been focused on the development of unstructured and simpler models, which can describe adequately growth and sporulation of B. thuringiensis. The unstructured models include the most fundamental observations concerning microbial growth and are simple and easy to use, particularly for process control purposes [14].…”

Section: Fermentation Conditionsmentioning

confidence: 99%

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Modeling of growth and sporulation of Bacillus thuringiensis in an intermittent fed batch culture with total cell retention

Atehortúa

Álvarez

Ordúz

2007

Bioprocess Biosyst Eng

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An extended dynamical model for growth and sporulation of Bacillus thuringiensis subsp. kurstaki in an intermittent fed-batch culture with total cell retention is proposed. This model differs from reported models, by including dynamics for natural death of cells and substrate consumption for cell maintenance. The proposed model uses sigmoid functions to describe these kinetic parameters. Equations for time evolution of substrate, vegetative, sporulated and total cell concentration were taken from previous works. Model parameters were determined from batch experimental data obtained in pilot plant. Parameter identification was developed in two stages: (1) coarse identification using a multivariable optimization with constraints algorithm, (2) fine identification by heuristic fit of model parameters looking for a minimal model error. The proposed model estimates adequate time evolution of the process variables with a mean error of 2.6% on substrate concentration and 6.7% on biomass concentration.

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Section: Fermentation Conditionsmentioning

confidence: 99%

Section: Fermentation Conditionsmentioning

confidence: 99%

Modeling of growth and sporulation of Bacillus thuringiensis in an intermittent fed batch culture with total cell retention

Atehortúa

Álvarez

Ordúz

2007

Bioprocess Biosyst Eng

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“…A first principle based model for Bt -endotoxins production process consists of a set of differential and algebraic equations (DAE system) in the continuous-time case, and a set of difference and algebraic equations in the discrete-time case. A simple phenomenological model was proposed by Rivera et al, (1999), a modification to the Rivera model was given by Atehortúa et al, (2006Atehortúa et al, ( , 2007. Afterwards, Amicarelli et al (2006Amicarelli et al ( , 2010 improved the model process adding the dissolved oxygen (DO) dynamics due to its importance in the biomass estimation problem and the posterior process control.…”

Section: Bioprocess Modelmentioning

confidence: 99%

On-line Biomass Estimation in a Batch Biotechnological Process: Bacillus thuringiensis δ - endotoxins production.

Amicarelli¹,

Quintero²,

Ortiz³

2010

Biomass

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“…In the phenomenological based model for Bacillus thuringiensis proposed by Rivera et al (1999) and modified by Atehortúa et al (2006; the DO dynamics was not included. These works, nevertheless, point out the need of considering in future research the oxygen dynamics and its limiting effect on cell growth.…”

Section: Introductionmentioning

confidence: 99%

“…The paper is organized as follows: next Section presents the microorganism's characteristics and the model based on first principles, with the dynamics as it actually appears in the model of Rivera et al (1999) and Atehortúa et al (2006Atehortúa et al ( , 2007. In the same Section, the DO dynamics for δ-endotoxins from the Bacillus thuringiensis production process are modeled and the parameters estimation is described.…”

Section: Introductionmentioning

confidence: 99%

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

Amicarelli

Sciascio

Toibero

et al. 2010

Braz. J. Chem. Eng.

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-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.

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Comments on: “A Sporulation Kinetic Model for Batch Growth of B. thuringiensis”

Cited by 7 publications

References 2 publications

Modeling of growth and sporulation of Bacillus thuringiensis in an intermittent fed batch culture with total cell retention

Modeling of growth and sporulation of Bacillus thuringiensis in an intermittent fed batch culture with total cell retention

On-line Biomass Estimation in a Batch Biotechnological Process: Bacillus thuringiensis δ - endotoxins production.

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

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