171
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Optimization of batch Novozym435-catalyzed transesterification of waste cooking oil with methanol for biodiesel production in a solvent-free medium

, , , , , & show all
Pages 911-925 | Published online: 29 Mar 2017
 

ABSTRACT

In this study, response surface methodology based on face center composite – 1/2 factorial fraction design (FCCD) of experiments was employed to optimize the batch transesterification process of waste cooking oil as one of the most abundant and readily available domestic wastes with methanol using immobilized Candida antarctica lipase (Novozym435) to maximize the production of high-purity biodiesel. Statistically significant second-order quadratic model equations (p < 0.0001) were elucidated through multiple regression analysis to describe the interrelationships between response of interest (biodiesel yield wt% and % conversion, i.e. the transesterification efficiency) and five independent variables (methanol:oil molar ratio, enzyme concentration wt%, reaction temperature °C, reaction time h, and mixing rate rpm). The statistical significance of the effect of these variables (factors) and their interactions on the transesterification efficiency was evaluated and the validity of the predicted models was confirmed. The optimum operating conditions were found to be: 3.63:1 M:O, 8.94 wt% Novozym435, 45.23°C, 2.76 h, and 535.84 rpm. This produced 97 wt% biodiesel yield with % conversion of ≈ 91.79%. An overall acceptable agreement was achieved between the produced biodiesel fuel properties at the aforementioned optimal operating conditions and the Egyptian petrodiesel and international biodiesel standards.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.