International Journal of Nutrition and Food Sciences

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

Received: 05 January 2015    Accepted: 20 January 2015    Published: 02 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.

DOI 10.11648/j.ijnfs.20150401.17
Published in International Journal of Nutrition and Food Sciences (Volume 4, Issue 1, January 2015)
Page(s) 45-50
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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), 2024. Published by Science Publishing Group

Keywords

Soybean, GSH, Extraction Technology, Molecular Weight, RSM

References
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[2] Noctor, AG., Mhamdi S., Chaouch Y., Han Y., Neukermans J., Queval G.. Glutathione in plants: an integrated overview, Plant Cell Environ. 35, 2012, pp. 454-484. DOI 10. 1111/j. pce. 2011. 02. 400.
[3] Danyelle M., Townsend, Kenneth DT., Haim T.. The importance of glutathione in human disease [J]. Biomedicine & Pharmacotherapy, 57, 2003, pp. 145-155. DOI 10. 1016/j. bp. 2003. 03. 043.
[4] Queval, A. Mhamdi, S. Chaouch, C H (2011) Glutathione, vol. 9, The Arabidopsis Book/American Society of Plant Biologists.
[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.
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Author Information
  • Department of Food Science and Engineering of Shanxi Normal University, Linfen, China

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

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

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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://download.sciencepg.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
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    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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