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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 843-852
DOI: https://doi.org/10.20546/ijcmas.2018.707.103


Ultrasound Assisted Extraction of Oil from Soybean
Owais Yousuf*, Palmei Gaibimei and Anupama Singh
Department of Post-Harvest Process & Food Engineering, College of Technology, G. B. Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India
*Corresponding author
Abstract:

Box-Behnken Experimental design of Response Surface Methodology (RSM) was used in this research for designing experiments and selecting finest standards. Power (60,80 and 100 %), sonication time (20, 40 and 60 minutes), and solvent volume (75,100 and 125 ml) were selected as the independent variable, whereas sonication frequency (20Hz) sample particle size (1mm) sample weight (25g) were kept constant. The extraction was carried out using ultrasound assisted technique. This research work was basically done to study the optimized parameters on the basis of oil yield, which was the dependent parameter. The data from all the experiments were analyzed using Design Expert 9.0.6.2 and the response functions were developed using multiple regression analysis and second order model was fitted for each response. It was found that power, sonication time and solvent volume had highly noteworthy consequence on oil yield. With upsurge in level of all the three variables, oil yield augmented.


Keywords: Soybean oil, Ultrasound assisted extraction, Oil yield, Sonication time, Power, Solvent volume
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How to cite this article:

Owais Yousuf, Palmei Gaibimei and Anupama Singh. 2018. Ultrasound Assisted Extraction of Oil from Soybean.Int.J.Curr.Microbiol.App.Sci. 7(7): 843-852. doi: https://doi.org/10.20546/ijcmas.2018.707.103