Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262

Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differentia...

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Main Authors: Bahar, Arifah, Rosli, Norhayati, Yeak, Su Hoe, Abd. Rahman, Haliza, Mohd. Aziz, Mohd. Khairul Bazli, Md. Salleh, Madihah
Format: Conference or Workshop Item
Language:English
Published: 2010
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Online Access:http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf
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author Bahar, Arifah
Rosli, Norhayati
Yeak, Su Hoe
Abd. Rahman, Haliza
Mohd. Aziz, Mohd. Khairul Bazli
Md. Salleh, Madihah
author_facet Bahar, Arifah
Rosli, Norhayati
Yeak, Su Hoe
Abd. Rahman, Haliza
Mohd. Aziz, Mohd. Khairul Bazli
Md. Salleh, Madihah
author_sort Bahar, Arifah
collection ePrints
description Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production.
first_indexed 2024-03-05T18:36:53Z
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spelling utm.eprints-242962017-10-11T08:26:45Z http://eprints.utm.my/24296/ Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 Bahar, Arifah Rosli, Norhayati Yeak, Su Hoe Abd. Rahman, Haliza Mohd. Aziz, Mohd. Khairul Bazli Md. Salleh, Madihah Q Science Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf Bahar, Arifah and Rosli, Norhayati and Yeak, Su Hoe and Abd. Rahman, Haliza and Mohd. Aziz, Mohd. Khairul Bazli and Md. Salleh, Madihah (2010) Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262. In: The Regional Conference on Statistical Sciences (RCSS'10), 13-14 June 2010, New Pacific Hotel, Kota Bharu, Kelantan. http://www.instatmy.org.my/downloads/RCSS'10/Proceedings/02P.pdf.
spellingShingle Q Science
Bahar, Arifah
Rosli, Norhayati
Yeak, Su Hoe
Abd. Rahman, Haliza
Mohd. Aziz, Mohd. Khairul Bazli
Md. Salleh, Madihah
Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title_full Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title_fullStr Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title_full_unstemmed Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title_short Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
title_sort stochastic model of gelatinised sago starch to solvent production by c acetobutylicum p262
topic Q Science
url http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf
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