Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology

Guifeng Li; Limin Dong; Junli Xu

doi:doi:10.11648/j.ijnfs.20150401.17

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Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology

Guifeng Li, Limin Dong, Junli Xu

Published in International Journal of Nutrition and Food Sciences (Volume 4, Issue 1)

Received: 5 January 2015 Accepted: 20 January 2015 Published: 2 February 2015

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Abstract

In order to establish optimal water extraction technology of GSH from soybean, response surface method, based on Box–Behnken design, was used to optimize extraction conditions. Crude GSH including in protein was separated by Sephadex G-50 chromatography method. A second order quadratic mathematical model for GSH in soybean extraction was established. Its validity was verified, and the alternate action of the above three factors and their optimum level ranges were investigated. Results showed that the optimum conditions to achieve the maximum extraction rate were as follows: pH of extraction liquid 7.62, extraction temperature 71.91℃, and extraction time 135.67min. Under such conditions, extraction rate of GSH reaches 1.063% (the relative error 1.1%), which was well matched with the predicted yield.

Published in	International Journal of Nutrition and Food Sciences (Volume 4, Issue 1)
DOI	10.11648/j.ijnfs.20150401.17
Page(s)	45-50
Creative Commons	This is an Open Access article, 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 or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Soybean, GSH, Extraction Technology, Molecular Weight, RSM

References

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[5]	Hossein S., Mohammad MN., Hossein VD., Shakeri M., Towhidi A., Shahneh AZ., Zhandi, M.. Effect of glutathione in soybean lecithin-based semen extender on goat semen quality after freeze-thawing [J]. Small ruminant research, 112, 2012, pp. 123-127. DOI 10. 1016/j. srr. 2012. 12. 015.
[6]	Xu YY., Cai SS., Wu HC., Yu j.. Optimization on ultrasonic extraction of phytosterols from soybean by response surface methodology. Food Research and Development, 35, 2014, pp. 36-39. DOI 10. 3969/j. frd. 2014. 09. 09.
[7]	Xu LP., Yang CH., Wang X.. Condition optimization of extracting glutathione from Corn germ by response surface methodology. Journal of the Chinese Cereals and Oils Association, 25, 2010, pp. 15-18. DOI 10.1074/j. jccoa. 2010. 05. 0015.
[8]	Chen L, Yuan H L, Chen D L. Comparative study on methods for determination of glutathione in fermentation liquor. Physical Testing and Chemical Analysis (Part B:Chemical Analysis), 51, 2010, pp. 876-878. DOI 10. 4020/j. ptca. 2010. 08. 0876.
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[11]	Wu XT., Zhu T., Zheng QM., Sheng C.. Study on extraction of sweet Chinese Yam skin saponins by using response surface methodology. Journal of the Chinese Cereals and Oils Association, 26, 2011, pp. 92-96. DOI 10. 0174/j. jccoa. 2011. 06. 0091.

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Guifeng Li, Limin Dong, Junli Xu. (2015). Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. International Journal of Nutrition and Food Sciences, 4(1), 45-50. https://doi.org/10.11648/j.ijnfs.20150401.17

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ACS Style

Guifeng Li; Limin Dong; Junli Xu. Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. Int. J. Nutr. Food Sci. 2015, 4(1), 45-50. doi: 10.11648/j.ijnfs.20150401.17

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AMA Style

Guifeng Li, Limin Dong, Junli Xu. Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. Int J Nutr Food Sci. 2015;4(1):45-50. doi: 10.11648/j.ijnfs.20150401.17

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@article{10.11648/j.ijnfs.20150401.17,
  author = {Guifeng Li and Limin Dong and Junli Xu},
  title = {Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology},
  journal = {International Journal of Nutrition and Food Sciences},
  volume = {4},
  number = {1},
  pages = {45-50},
  doi = {10.11648/j.ijnfs.20150401.17},
  url = {https://doi.org/10.11648/j.ijnfs.20150401.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20150401.17},
  abstract = {In order to establish optimal water extraction technology of GSH from soybean, response surface method, based on Box–Behnken design, was used to optimize extraction conditions. Crude GSH including in protein was separated by Sephadex G-50 chromatography method. A second order quadratic mathematical model for GSH in soybean extraction was established. Its validity was verified, and the alternate action of the above three factors and their optimum level ranges were investigated. Results showed that the optimum conditions to achieve the maximum extraction rate were as follows: pH of extraction liquid 7.62, extraction temperature 71.91℃, and extraction time 135.67min. Under such conditions, extraction rate of GSH reaches 1.063% (the relative error 1.1%), which was well matched with the predicted yield.},
 year = {2015}
}

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TY  - JOUR
T1  - Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology
AU  - Guifeng Li
AU  - Limin Dong
AU  - Junli Xu
Y1  - 2015/02/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijnfs.20150401.17
DO  - 10.11648/j.ijnfs.20150401.17
T2  - International Journal of Nutrition and Food Sciences
JF  - International Journal of Nutrition and Food Sciences
JO  - International Journal of Nutrition and Food Sciences
SP  - 45
EP  - 50
PB  - Science Publishing Group
SN  - 2327-2716
UR  - https://doi.org/10.11648/j.ijnfs.20150401.17
AB  - In order to establish optimal water extraction technology of GSH from soybean, response surface method, based on Box–Behnken design, was used to optimize extraction conditions. Crude GSH including in protein was separated by Sephadex G-50 chromatography method. A second order quadratic mathematical model for GSH in soybean extraction was established. Its validity was verified, and the alternate action of the above three factors and their optimum level ranges were investigated. Results showed that the optimum conditions to achieve the maximum extraction rate were as follows: pH of extraction liquid 7.62, extraction temperature 71.91℃, and extraction time 135.67min. Under such conditions, extraction rate of GSH reaches 1.063% (the relative error 1.1%), which was well matched with the predicted yield.
VL  - 4
IS  - 1
ER  -

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Author Information

Guifeng Li

Department of Food Science and Engineering of Shanxi Normal University, Linfen, China
Limin Dong

Department of Food Science and Engineering of Shanxi Normal University, Linfen, China
Junli Xu

Department of Food Science and Engineering of Shanxi Normal University, Linfen, China

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APA Style

Guifeng Li, Limin Dong, Junli Xu. (2015). Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. International Journal of Nutrition and Food Sciences, 4(1), 45-50. https://doi.org/10.11648/j.ijnfs.20150401.17

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ACS Style

Guifeng Li; Limin Dong; Junli Xu. Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. Int. J. Nutr. Food Sci. 2015, 4(1), 45-50. doi: 10.11648/j.ijnfs.20150401.17

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AMA Style

Guifeng Li, Limin Dong, Junli Xu. Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology. Int J Nutr Food Sci. 2015;4(1):45-50. doi: 10.11648/j.ijnfs.20150401.17

Copy | Download

@article{10.11648/j.ijnfs.20150401.17,
  author = {Guifeng Li and Limin Dong and Junli Xu},
  title = {Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology},
  journal = {International Journal of Nutrition and Food Sciences},
  volume = {4},
  number = {1},
  pages = {45-50},
  doi = {10.11648/j.ijnfs.20150401.17},
  url = {https://doi.org/10.11648/j.ijnfs.20150401.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20150401.17},
  abstract = {In order to establish optimal water extraction technology of GSH from soybean, response surface method, based on Box–Behnken design, was used to optimize extraction conditions. Crude GSH including in protein was separated by Sephadex G-50 chromatography method. A second order quadratic mathematical model for GSH in soybean extraction was established. Its validity was verified, and the alternate action of the above three factors and their optimum level ranges were investigated. Results showed that the optimum conditions to achieve the maximum extraction rate were as follows: pH of extraction liquid 7.62, extraction temperature 71.91℃, and extraction time 135.67min. Under such conditions, extraction rate of GSH reaches 1.063% (the relative error 1.1%), which was well matched with the predicted yield.},
 year = {2015}
}

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TY  - JOUR
T1  - Optimization of GSH Extraction Technology from Germinating Soybean Using Response Surface Methodology
AU  - Guifeng Li
AU  - Limin Dong
AU  - Junli Xu
Y1  - 2015/02/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijnfs.20150401.17
DO  - 10.11648/j.ijnfs.20150401.17
T2  - International Journal of Nutrition and Food Sciences
JF  - International Journal of Nutrition and Food Sciences
JO  - International Journal of Nutrition and Food Sciences
SP  - 45
EP  - 50
PB  - Science Publishing Group
SN  - 2327-2716
UR  - https://doi.org/10.11648/j.ijnfs.20150401.17
AB  - In order to establish optimal water extraction technology of GSH from soybean, response surface method, based on Box–Behnken design, was used to optimize extraction conditions. Crude GSH including in protein was separated by Sephadex G-50 chromatography method. A second order quadratic mathematical model for GSH in soybean extraction was established. Its validity was verified, and the alternate action of the above three factors and their optimum level ranges were investigated. Results showed that the optimum conditions to achieve the maximum extraction rate were as follows: pH of extraction liquid 7.62, extraction temperature 71.91℃, and extraction time 135.67min. Under such conditions, extraction rate of GSH reaches 1.063% (the relative error 1.1%), which was well matched with the predicted yield.
VL  - 4
IS  - 1
ER  -

Copy | Download