Literature DB >> 18572401

Optimization of transesterification of animal fat ester using response surface methodology.

Gwi-Taek Jeong1, Hee-Seung Yang, Don-Hee Park.   

Abstract

In an effort to optimize the reaction conditions of biodiesel production from lard, response surface methodology was applied, and the effects of five-level-three-factors and their reciprocal interactions were assessed. A total of 20 individual experiments were conducted, and were designed to study reaction temperature, catalyst amount, and oil-to-methanol molar ratio. A statistical model predicted that the highest conversion yield of lard biodiesel would be 98.6%, at the following optimized reaction conditions: a reaction temperature of 65 degrees C, a catalyst amount of 1.26%, and an oil-to-methanol molar ratio of 7.5:1, with a 20-min reaction time. Using these optimal factor values under experimental conditions in three independent replicates, an average content of 97.8+/-0.6% was achieved, and this value was well within the range predicted by the model. The quality of biodiesel produced from lard at the optimum reaction conditions satisfied the relevant quality standards, with the exception of cold filter plugging point.

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Year:  2008        PMID: 18572401     DOI: 10.1016/j.biortech.2008.05.011

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Modeling and optimization of lipase-catalyzed production of succinic acid ester using central composite design analysis.

Authors:  Mohd Basyaruddin Abdul Rahman; Nor Izuan Jarmi; Naz Chaibakhsh; Mahiran Basri
Journal:  J Ind Microbiol Biotechnol       Date:  2010-08-30       Impact factor: 3.346

2.  Production of green diesel from catalytic deoxygenation of chicken fat oil over a series binary metal oxide-supported MWCNTs.

Authors:  N Aliana-Nasharuddin; N Asikin-Mijan; G Abdulkareem-Alsultan; Mohd Izham Saiman; Fahad A Alharthi; Abdulaziz Ali Alghamdi; Y H Taufiq-Yap
Journal:  RSC Adv       Date:  2020-01-02       Impact factor: 4.036

  2 in total

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