The potential of artificial neural network (ANN) in optimizing media constituents of citric acid production by solid state bioconversion

Ricca R. N., . and Jami Mohammed Saedi, . and Alam Md. Zahangir, . The potential of artificial neural network (ANN) in optimizing media constituents of citric acid production by solid state bioconversion. pp. 491-497. ISSN 2231-7546

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 networks (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A dataset consists of 20 runs from our previous work was used to develop ANN. The predictive and generalization ability of ANN and the results of RSM were compared. The determination coefficients (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.

Full text available from: Official URL: http://www.ifrj.upm.edu.my/19%20(02)%202012/(16)IF...

Abstract

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 networks (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A dataset consists of 20 runs from our previous work was used to develop ANN. The predictive and generalization ability of ANN and the results of RSM were compared. The determination coefficients (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.

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Item Type:	Article
AGROVOC Term:	Citric acid
AGROVOC Term:	Bioconversion
AGROVOC Term:	Oil palm
AGROVOC Term:	Sucrose
AGROVOC Term:	Production
AGROVOC Term:	Renewable resources
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:27
URI:	http://webagris.upm.edu.my/id/eprint/22381

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