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     Advance Journal of Food Science and Technology


Optimization of Extraction Conditions on the Yield of Rana Chensinensis Egg Oil by Statistical Experimental Designs

Wenxuan Zhao, Fuguang Zhao and Guang Chen
School of Life Science, Jilin Agricultural University, Changchun Jilin 130118, China
Advance Journal of Food Science and Technology   2015  5:367-371
http://dx.doi.org/10.19026/ajfst.9.1917  |  © The Author(s) 2015
Received: March ‎9, ‎2015  |  Accepted: March ‎24, ‎2015  |  Published: August 20, 2015

Abstract

Rana chensinensis egg oil is extracted from Rana chensinensis. The important variables (extraction temperature, extraction time and the ratio of oviductus ranae egg oil and extraction solvent) were optimized by Box-Behnken central composite design under response surface methodology. The statistical analysis showed that the optimum extraction conditions (extraction temperature 60.62C, extraction time 3.16 h and the ratio of oviductus ranae egg oil and extraction solvent 8.91.) led to a maximum yield (19.3%). The Rana chensinensis egg oil was refined. The developed method has a potential to be used for efficient extraction conditions on the yield of Rana chensinensis egg oil.

Keywords:

Model, optimization, rana chensinensis egg oil, statistical experimental designs,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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