The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)

This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was bui...

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Main Authors:	Nasaruddin, Ricca Rahman, Jami, Mohammed Saedi, Alam, Md. Zahangir
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TP155 Chemical engineering
Online Access:	http://irep.iium.edu.my/3170/ http://irep.iium.edu.my/3170/ http://irep.iium.edu.my/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf

id	iium-3170
recordtype	eprints
spelling	iium-31702011-10-14T03:08:59Z http://irep.iium.edu.my/3170/ The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir TP155 Chemical engineering This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A 20 dataset of an earlier published paper was used to developed ANN. The predictive and generalization ability of ANN and the results of RSM in the used published paper were compared. The determination coefficient (R2-value) for ANN and RSM models were 0.997 and 0.985, respectively, indicating the superiority of ANN in capturing the non-linear behavior of the system. Validation process was done and the maximum citric acid production (147.74 g/kg-EFB) was achieved using the optimal solution from ANN which consists of 6.1% sucrose, 9.2% mineral solution and 15.0% inoculum. 2011-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf Nasaruddin, Ricca Rahman and Jami, Mohammed Saedi and Alam, Md. Zahangir (2011) The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB). In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17 - 19 May 2011, Kuala Lumpur. http://www.iium.edu.my/icbioe/2011/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TP155 Chemical engineering
spellingShingle	TP155 Chemical engineering Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
description	This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A 20 dataset of an earlier published paper was used to developed ANN. The predictive and generalization ability of ANN and the results of RSM in the used published paper were compared. The determination coefficient (R2-value) for ANN and RSM models were 0.997 and 0.985, respectively, indicating the superiority of ANN in capturing the non-linear behavior of the system. Validation process was done and the maximum citric acid production (147.74 g/kg-EFB) was achieved using the optimal solution from ANN which consists of 6.1% sucrose, 9.2% mineral solution and 15.0% inoculum.
format	Conference or Workshop Item
author	Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir
author_facet	Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir
author_sort	Nasaruddin, Ricca Rahman
title	The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
title_short	The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
title_full	The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
title_fullStr	The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
title_full_unstemmed	The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
title_sort	potential of artificial neural network (ann) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil empty fruit bunches (efb)
publishDate	2011
url	http://irep.iium.edu.my/3170/ http://irep.iium.edu.my/3170/ http://irep.iium.edu.my/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf
first_indexed	2023-09-18T20:10:53Z
last_indexed	2023-09-18T20:10:53Z
_version_	1777407469298909184

The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)

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