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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
chemical engineering
An evaluation of the efficacy of using selected solvents for the extraction of lipids from algal biomass by the soxhlet extraction method
Fuel, Volume 116, Year 2014
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Description
The use of solvents for the extraction of lipids from algal biomass has been a method of choice for many years. The soxhlet extraction method was chosen because of its simplicity in operation, relative safety and potential for upscaling to industrial plant level. The source of algal biomass was a raceway pond. Chlorella sp. which is known to produce larger amounts of oil than other indigenous species was used for this investigation. Thirteen solvents spanning a range of polarities and solubilities were selected for this study. Extraction methodology involved the use of single solvents, selected binary solvent mixtures and time-based extractions which were varied from 1 to 5 h. Ultraviolet (UV) spectroscopy was used to determine chlorophyll content of the lipid extracts and gas chromatography was used for the identification and quantitation of the lipids. Analysis showed that ethanol, chloroform and hexane were generally more efficient in the extraction of lipids than the other solvents studied, producing lipid contents in excess of 10%. The time-based trials indicated that the optimum extraction time was 3 h for the solvents selected. The binary solvent mixture with the greatest extraction efficiency (i.e. >10% lipid extract) was obtained with the 1:1 mixture of chloroform:ethanol. Chlorophyll quantities varied for each solvent extract with chloroform and methanol producing the highest values at >1%. Chromatography was effective in identifying lipids used in the production of biodiesel. © 2013 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Ramluckan, Krishan
South Africa, Durban
Durban University of Technology
Moodley, Kandasamy G.
South Africa, Durban
Durban University of Technology
Bux, Faizal B.
South Africa, Durban
Durban University of Technology
Statistics
Citations: 202
Authors: 3
Affiliations: 1
Identifiers
Doi:
10.1016/j.fuel.2013.07.118
ISSN:
00162361