DocumentCode
693321
Title
Oil extraction optimization from Xanthoceras sorbifolia with response surface methodology
Author
Dejiang Liu ; Yongxun Zhao ; Jian Shen
Author_Institution
Life Sci. Coll., Jiamusi Univ., Jiamusi, China
Volume
1
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
274
Lastpage
277
Abstract
This paper has discussed the ultrasonic oil extraction from Xanthoceras sorbifolia (Yellowhorn) seeds. The oil yield ratio and its range have been claimed by single-factor test. Taking the ultrasonic power, ultrasonic time and solid-liquid ratio as the independent variables and oil yield as the response value, the research was carried out to study the interaction among the independent variables and the affect to oil yield by Box-Behnken methodology. The stimulated predicted model of regression equation was conducted by Design Expert software. The study revealed that, when choosing petroleum ether as the solvent, the extraction temperature and time are 60°C and 3 hours. The optimum condition for extracting yellowhorn oil was using ultrasonication power: 300 W, ultrasonic time: 16 minutes and solid-liquid ratio: 1:8 (g: ml). The oil yield ratio was 60.95% whose relative deviation was 0.58% compared with the predicted value, which was 61.53%. This demonstrated that this model reasonably applies to the oil extraction ratio of yellowhorn.
Keywords
biofuel; ultrasonic applications; vegetable oils; Box-Behnken methodology; Design Expert software; Xanthoceras sorbifolia; ellowhorn seeds; oil extraction optimization; petroleum ether solvent; power 300 W; regression equation; response surface methodology; solid-liquid ratio; time 16 min; ultrasonic oil extraction; ultrasonication process; Acoustics; Equations; Mathematical model; Optimization; Petroleum; Response surface methodology; Software; Response surface methodology (RSM); Xanthoceras sorbifolia; oil yield; ultrasonication;
fLanguage
English
Publisher
ieee
Conference_Titel
Materials for Renewable Energy and Environment (ICMREE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-3335-8
Type
conf
DOI
10.1109/ICMREE.2013.6893664
Filename
6893664
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