Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates

A mathematical model that predicts biomass growth and polyhidroxyalkanoates (PHAs) accumulation in Burkholderia cepacia B27 and its validation at pilot plant scale is presented in this work. During the fermentation process, the mutated strain was capable to produce 15 g/L of PHA and accumulate 86 %...

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Main Authors: D. Mendez, I. Cabeza, N. Moreno, C. Riascos
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2016-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/3099
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spelling doaj-d1325f6204414291a1a6b8d025f8dc0b2021-02-19T21:11:06ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-05-014910.3303/CET1649047Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce PolyhydroxyalkanoatesD. MendezI. CabezaN. MorenoC. RiascosA mathematical model that predicts biomass growth and polyhidroxyalkanoates (PHAs) accumulation in Burkholderia cepacia B27 and its validation at pilot plant scale is presented in this work. During the fermentation process, the mutated strain was capable to produce 15 g/L of PHA and accumulate 86 % of bacteria weight as polymer, with corn oil as carbon source. Bioreactor assays were performed with a 5 L working volume, pH 7.0 and 32 °C. The model development steps were the following: 1) kinetic behavior analysis; 2) formulation of differential equations to predict kinetic behavior; 3) fitting of model parameters with Matlab® solvers, and 4) model validation with statistical and experimental tests. The experimental validation was developed under batch conditions with a work volume of 60 L, showing a good prediction of the system behavior. This model will be useful for the optimization of the feed-batch process that is the next step in the research.https://www.cetjournal.it/index.php/cet/article/view/3099
collection DOAJ
language English
format Article
sources DOAJ
author D. Mendez
I. Cabeza
N. Moreno
C. Riascos
spellingShingle D. Mendez
I. Cabeza
N. Moreno
C. Riascos
Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
Chemical Engineering Transactions
author_facet D. Mendez
I. Cabeza
N. Moreno
C. Riascos
author_sort D. Mendez
title Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
title_short Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
title_full Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
title_fullStr Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
title_full_unstemmed Mathematical Modelling and Scale-up of Batch Fermentation with Burkholderia cepacia B27 Using Vegetal Oil as Carbon Source to Produce Polyhydroxyalkanoates
title_sort mathematical modelling and scale-up of batch fermentation with burkholderia cepacia b27 using vegetal oil as carbon source to produce polyhydroxyalkanoates
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2016-05-01
description A mathematical model that predicts biomass growth and polyhidroxyalkanoates (PHAs) accumulation in Burkholderia cepacia B27 and its validation at pilot plant scale is presented in this work. During the fermentation process, the mutated strain was capable to produce 15 g/L of PHA and accumulate 86 % of bacteria weight as polymer, with corn oil as carbon source. Bioreactor assays were performed with a 5 L working volume, pH 7.0 and 32 °C. The model development steps were the following: 1) kinetic behavior analysis; 2) formulation of differential equations to predict kinetic behavior; 3) fitting of model parameters with Matlab® solvers, and 4) model validation with statistical and experimental tests. The experimental validation was developed under batch conditions with a work volume of 60 L, showing a good prediction of the system behavior. This model will be useful for the optimization of the feed-batch process that is the next step in the research.
url https://www.cetjournal.it/index.php/cet/article/view/3099
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