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Article . 2018 . Peer-reviewed
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Kinetic modeling and optimization of biodiesel production from white mustard (Sinapis alba L.) seed oil by quicklime-catalyzed transesterification

Authors: Kostić, Milan D.; Đalović, Ivica; Stamenković, Olivera S.; Mitrović, Petar; Adamović, Dušan; Kulina, Mirko; Veljković, Vlada B.;

Kinetic modeling and optimization of biodiesel production from white mustard (Sinapis alba L.) seed oil by quicklime-catalyzed transesterification

Abstract

Abstract The biodiesel production from white mustard (Sinapis alba L.) seed oil (WMSO) by transesterification with methanol over the quicklime powder was investigated in a batch stirred reactor. Two independent first-order models with respect to triacylglycerols (TAGs) or a more complex model that combined the changing mechanism and the first-order rate law with respect to TAGs and fatty acid methyl esters (FAMEs), respectively described successfully the kinetics of this transesterification reaction. Besides that, the response surface methodology coupled with a full factorial design with replication was applied to model and optimize esters content with methanol-to-WMSO molar ratio, catalyst amount and reaction time (X1, X2 and X3, respectively). The analysis of variance indicated that all individual process factors, the interactions X1–X2 and X2–X3 and the quadratic term X 2 2 influenced significantly FAME content at the 95% confidence level. According to the reduced quadratic model, complete conversion could be achieved with the catalyst loading of 9.8%–10% and the methanol-to-WMSO molar ratio in the range between 6.1:1 and 11.6:1 in 50 min. WMSO was transesterified even faster than sunflower oil in the presence of both quicklime and KOH, due to higher total content of unsaturated fatty acids.

Keywords

Optimization, Transesterification, Kinetic modeling, Sinapis alba, Biodiesel, Oil extraction

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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