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A continuous process for the conversion of vegetable oils into methyl esters of fatty acids

Noureddini, H., Harkey, D., Medikonduru, V.·1998·Journal of the American Oil Chemists' Society

Abstract

A continuous process for the transesterification of triglycerides to methyl esters was investigated in a pilot plant. The process was equipped with a motionless and a high‐shear mixer. The experimental studies explored variations in the mixing intensity, stoichiometry, and catalyst concentration on the overall conversion. The combined as well as individual effect of mixers was examined. The developed process resulted in high conversions of vegetable oils into methyl esters. Conversion of triglycerides to methyl esters in excess of 98% was achieved. Larger excess amounts of alcohol favored higher conversions. The motionless and high‐shear mixers each provided adequate mixing for the process. Higher catalyst concentrations resulted in higher conversions but increased the solubility of methyl esters in the glycerol layer. This reduced the amount of methyl esters separated by gravity settling.

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Metadata

Authors
Noureddini, H., Harkey, D., & Medikonduru, V.
Venue
Journal of the American Oil Chemists' Society
Publisher
Wiley
Published
1998-12
Volume
75
Issue
12
Pages
1775-1783
ISSN
  • 0003-021X (ISSN-L)
  • 1558-9331
OpenAlex
W2156886862
Cited by
170
References
0
FWCI
0.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A continuous process for the conversion of vegetable oils into methyl esters of fatty acids. https://app.cochat.ai/papers/10.1007/s11746-998-0331-1
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Noureddini, H., Harkey, D., & Medikonduru, V. (1998). A continuous process for the conversion of vegetable oils into methyl esters of fatty acids. Journal of the American Oil Chemists' Society. https://doi.org/10.1007/s11746-998-0331-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.