Keyword Search:

Optimisation study of large-scale enzymatic synthesis of oleyl eleate,a liquid wax ester,by response surface methodology

Mat Radzi, Salina and Basri, Mahiran and Salleh, Abu Bakar and Ariff, Arbakariya and Mohammad, Rosfarizan and Abdul Rahman, Mohd Basyaruddin and Raja Abdul Rahman, Raja Noor Zaliha (2006) Optimisation study of large-scale enzymatic synthesis of oleyl eleate,a liquid wax ester,by response surface methodology. Journal of Chemical Technology and Biotechnology, 81 (3). pp. 374-380. ISSN 0268-2575

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1002/jctb.1404

Abstract

An optimisation study of the large-scale enzymatic synthesis of a liquid wax ester from oleic acid and oleyl alcohol using Novozym 435 was carried out. Investigations were performed in batch mode with a stirred tank reactor (STR) with one multi-bladed impeller. Response surface methodology (RSM) based on a five-level, three-variable central composite rotatable design (CCRD) was used to evaluate the interactive effects of various parameters. The parameters are amount of enzyme (A) (90–120 g), impeller speed (B) (100–400 rpm) and temperature (C) (40–60 °C). The optimum conditions derived via RSM at a fixed reaction time of 1 h were successfully optimised as A = 104 g, B = 388.0 rpm and C = 49.7 °C. The actual experimental yield was 96.7% under the optimum conditions, which compared well with the maximum predicted value of 97.6%. Copyright © 2005 Society of Chemical Industry

Item Type:Article
Keyword:response surface methodology, central composite rotatable design, liquid wax ester, Novozym 435, esterification
Faculty or Institute:Faculty of Science
Publisher:John Wiley & Sons, Ltd.
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/jctb.1404
ID Code:5606
Deposited By: Erni Suraya Abdul Aziz
Deposited On:16 Apr 2010 06:35
Last Modified:27 Jul 2010 09:19

Repository Staff Only: Edit item detail

 
 
 
 

Universiti Putra Malaysia Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Universiti Putra Malaysia Institutional Repository supports OAI 2.0 with a base URL of http://psasir.upm.edu.my/cgi/oai2
Best viewed using IE version 7.0 (and above) Mozilla Firefox version 3 (and above) with the resolution of 1024 x 768.