RESEARCH ARTICLE
Enzymatic Production of Bio-Diesel from Waste Cooking Oil Using Lipase
Sulaiman Al-Zuhair*
Article Information
Identifiers and Pagination:
Year: 2008Volume: 2
First Page: 84
Last Page: 88
Publisher ID: TOCENGJ-2-84
DOI: 10.2174/1874123100802010084
Article History:
Received Date: 08/03/2008Revision Received Date: 11/04/2008
Acceptance Date: 16/06/2008
Electronic publication date: 30/6/2008
Collection year: 2008
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The applications of lipase immobilized on ceramic beads and entrapped in sol-gel matrix, in the production of bio-diesel from waste cooking oil, are compared to that of free lipase. Experimental determination of the effect of molar equivalent of methanol, to moles of ester bond in the triglyceride, on the rate of the enzymatic trans-esterification was experimentally determined. It was found that for the same weight of lipase used, the production of bio-diesel was much higher using lipase immobilized on ceramic beads in comparison to that using lipase entrapped in sol-gel and in free form. Substrates inhibition effect was observed in all cases, which agrees with previous results found in literature. The optimum methanol:oil molar ratio was found to be 0.87 for immobilized lipase from yeast source, C. antartica and 1.00 for free lipase from the same yeast source and immobilized lipase from bacterial source, P. cepacia. On the other hand, it was shown that biodieasel can be produced in considerable amounts, with yield reaching 40%, in absence of organic solvent using immobilized lipase, from P. cepacia, on ceramic beads. The results of this study can be used to determine the kinetics parameters of mathematical models which describe the system.