Modelling of batch biopolymer fermentation

This research is about modelling of Cupriavidus necator (C. necator) growth and polyhydroxyalkanoates (PHA) production in batch fermentation and fitting the models to the data using Runge-Kutta 4th Order Method by minimizing the error between experimental data and predicted data using the Simplex Me...

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Main Author:	Maryam, Ismail
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/3165/ http://umpir.ump.edu.my/id/eprint/3165/ http://umpir.ump.edu.my/id/eprint/3165/1/CD5955_MARYAM_ISMAIL.pdf

id	ump-3165
recordtype	eprints
spelling	ump-31652015-03-03T07:59:46Z http://umpir.ump.edu.my/id/eprint/3165/ Modelling of batch biopolymer fermentation Maryam, Ismail TP Chemical technology This research is about modelling of Cupriavidus necator (C. necator) growth and polyhydroxyalkanoates (PHA) production in batch fermentation and fitting the models to the data using Runge-Kutta 4th Order Method by minimizing the error between experimental data and predicted data using the Simplex Method in MATLAB R2009b software. The models and the fitting methods were first tried on data of yeast biomass growth and intracellular enzyme cytochrome p-450 production in batch fermentation while the data of C. necator growth and PHA production is being generated. Hence, data were obtained from three sources which are Jailani et. al., (1995), Ali (2009) and Firdaus (2010). The biomass growth model developed was based on Logistic Model while the model for PHA production was developed based on the assumptions that each cell contain the same amount of PHA and that PHA degrades with the same rate. Predicted data was obtained using function ode45 in MATLAB R2009b software which implements Runge-Kutta 4th Order Method while minimum error was obtained through function fminsearch in the same software which implements Simplex Method. After completing the works, it was found that the models fit very well on data Salihon et. al., (1995) and Ali (2009). However, the models were not well fitted on data Firdaus (2010) as the values of parameters were not converged. 2010-04 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3165/1/CD5955_MARYAM_ISMAIL.pdf Maryam, Ismail (2010) Modelling of batch biopolymer fermentation. Faculty of Chemical & Natural Resources Engineering , Universiti Malaysia Pahang . http://iportal.ump.edu.my/lib/item?id=chamo:58599&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Maryam, Ismail Modelling of batch biopolymer fermentation
description	This research is about modelling of Cupriavidus necator (C. necator) growth and polyhydroxyalkanoates (PHA) production in batch fermentation and fitting the models to the data using Runge-Kutta 4th Order Method by minimizing the error between experimental data and predicted data using the Simplex Method in MATLAB R2009b software. The models and the fitting methods were first tried on data of yeast biomass growth and intracellular enzyme cytochrome p-450 production in batch fermentation while the data of C. necator growth and PHA production is being generated. Hence, data were obtained from three sources which are Jailani et. al., (1995), Ali (2009) and Firdaus (2010). The biomass growth model developed was based on Logistic Model while the model for PHA production was developed based on the assumptions that each cell contain the same amount of PHA and that PHA degrades with the same rate. Predicted data was obtained using function ode45 in MATLAB R2009b software which implements Runge-Kutta 4th Order Method while minimum error was obtained through function fminsearch in the same software which implements Simplex Method. After completing the works, it was found that the models fit very well on data Salihon et. al., (1995) and Ali (2009). However, the models were not well fitted on data Firdaus (2010) as the values of parameters were not converged.
format	Undergraduates Project Papers
author	Maryam, Ismail
author_facet	Maryam, Ismail
author_sort	Maryam, Ismail
title	Modelling of batch biopolymer fermentation
title_short	Modelling of batch biopolymer fermentation
title_full	Modelling of batch biopolymer fermentation
title_fullStr	Modelling of batch biopolymer fermentation
title_full_unstemmed	Modelling of batch biopolymer fermentation
title_sort	modelling of batch biopolymer fermentation
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/3165/ http://umpir.ump.edu.my/id/eprint/3165/ http://umpir.ump.edu.my/id/eprint/3165/1/CD5955_MARYAM_ISMAIL.pdf
first_indexed	2023-09-18T21:57:15Z
last_indexed	2023-09-18T21:57:15Z
_version_	1777414162077450240

Modelling of batch biopolymer fermentation

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