Alam, Md. Zahangir and Kabbashi, Nassereldeen Ahmed and Ismail, M. Hafiz (2007) Statistical optimization oF process conditions for bioethanol production by solid state bioconversion of rice straw. In: International Conference on Biotechnology Engineering, 8-10 May 2007, Kuala Lumpur.
PDF
- Published Version
Restricted to Repository staff only Download (243kB) | Request a copy |
Abstract
Solid state bioconversion (SSB) of rice straw for bioethanol production by the compatible mixed culture of Saccharomyces cerevisiae, Trichoderma harzianum, and Phanerocheate chrysosporium was carried out in the laboratory. Design of the experiment and statistical analysis for optimization of bioethanol production was done using statistical software Minitab. The optimization was done using central composite design (CCD) with five factors: moisture content, pH, inoculum size, co-substrate (wheat flour), and minerals with five levels for all parameters. A regression model was developed with the experimental results obtained from CCD. The highest production of bioethanol was found to be 12.6% (v/v) on the sixth day of fermentation. The optimization study of the processing conditions enhanced the bioethanol production and thus achieved the optimum yield. From the optimization study, maximum production of ethanol is obtained at 60 % (v/v) of moisture, 7 pH, 4% inoculum size, 4% co-substrate (wheat flour), and 4% of minerals with its experimental and predicted valuse to be 12.6% (v/v) and 12.8% (v/v), respectively.
Item Type: | Conference or Workshop Item (Full Paper) |
---|---|
Additional Information: | 4157/5861 |
Subjects: | T Technology > TP Chemical technology T Technology > TP Chemical technology > TP248.13 Biotechnology |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Biotechnology Engineering |
Depositing User: | Dr. Md. Zahangir Alam |
Date Deposited: | 15 Apr 2013 09:54 |
Last Modified: | 15 Apr 2013 09:54 |
URI: | http://irep.iium.edu.my/id/eprint/5861 |
Actions (login required)
View Item |