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Extraction of rice brain oil using supercritical carbon dioxide and propane
Author(s) -
Sparks Darrell,
Hernandez Rafael,
Zappi Mark,
Blackwell Dean,
Fleming Trey
Publication year - 2006
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-006-5042-x
Subject(s) - rice bran oil , extraction (chemistry) , supercritical carbon dioxide , bran , propane , supercritical fluid , yield (engineering) , hexane , carbon dioxide , solvent , chemistry , supercritical fluid extraction , chromatography , materials science , organic chemistry , metallurgy , raw material
Extraction of rice bran lipids was performed using supercritical carbon dioxide (SC−CO 2 ) and liquid propane. To provide a basis for extraction efficiency, accelerated solvent extraction with hexane was performed at 100°C and 10.34 MPa. Extraction pressure was varied for propane and SC−CO 2 extractions. Also, the role of temperature in SC−CO 2 extraction efficiency was investigated at 45,65, and 85°C. For the SC−CO 2 experiments, extraction efficiencies were proportional to pressure and inversely proportional to temperature, and the maximal yield of oil achieved using SC−CO 2 was 0.222±0.013 kg of oil extracted per kg of rice bran for conditions of 45°C and 35 MPa. The maximal yield achieved with propane was 0.224±0.016 kg of oil per kg of rice bran at 0.76 MPa and ambient temperature. The maximum extraction efficiencies of both SC−CO 2 and propane were found to be significantly different from the hexane extraction baseline yield, which was 0.261±0.005 kg oil extracted per kg of rice bran. A simulated economic analysis was performed on the possibility of using SC−CO 2 and propane extraction technologies to remove oil from rice bran generated in Mississippi. Although the economic analysis was based on the maximal extraction efficiency for each technology, neither process resulted in a positive rate of return on investment.