Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network
This work aims at recycling oil palm empty fruit bunches (EFB) as renewable resource. Comparative studies between artificial neural network (ANN) and Response surface methodology (RSM) in fermentation media optimization for the production of citric acid from EFB have been conducted. In a previo...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/3268/ http://irep.iium.edu.my/3268/1/My_proceeding.pdf |
| Summary: | This work aims at recycling oil palm empty fruit bunches
(EFB) as renewable resource. Comparative studies
between artificial neural network (ANN) and Response
surface methodology (RSM) in fermentation media
optimization for the production of citric acid from EFB
have been conducted. In a previous work, RSM method
was employed to optimize the media constituents through
solid state bioconversion using Aspergillus niger. In this
study, the same optimization was done by using ANN.
The predictive and generalization ability of both ANN
and RSM were compared using similar dataset of 20
experiments. The correlation coefficient (R value) for
ANN and RSM models were 0.985 and 0.997,
respectively, indicating the superiority of ANN in
capturing the non-linear behavior of the system. The
sensitivity analysis performed by both methods has given
comparable results. EFB is a suitable renewable raw
material for bioconversion into value added products to
curb the air-pollution from EFB burning which causes
serious environmental problem. |
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