IDEAS home Printed from https://ideas.repec.org/a/ags/aesjfr/405104.html

Optimization of L-methionine Bioconversion to Aroma-active Methionol by Kluyveromyces lactis Using the Taguchi Method

Author

Listed:
  • Koh, Matthew
  • Sun, Jingcan
  • Liu, Shao

Abstract

The bioproduction of methionol through fermentation was performed by Kluyveromyces lactis KL71 in coconut cream supplemented with L-methionine (Met). This bioprocess was successfully optimized with the Taguchi method applying the L27 (313) orthogonal array. Among these studied factors, shaking speed was found to be the most significant factor that affected the bioproduction of methionol, followed by incubation time, pH level and Met concentration. The optimum fermentation conditions were determined as follows: 0.45% (w/v) of Met, 48 h of incubation, shaking speed of 160 rpm, 0.05% (w/v) of yeast extract (YE), 0 mg/L of diammonium phosphate (DAP) and pH of 6.3. Under the optimum conditions, the signal to noise (S/N) ratio achieved was 59.9 decibels (dB), which was in good agreement with the predicted S/N ratio of 58.2 dB. The average yield of methionol obtained under the optimum fermentation conditions was 990.1 ± 49.7 µg/mL. This indicates that the Taguchi method was effective for the optimization of bioproduction of methionol by K. lactis.

Suggested Citation

  • Koh, Matthew & Sun, Jingcan & Liu, Shao, 2013. "Optimization of L-methionine Bioconversion to Aroma-active Methionol by Kluyveromyces lactis Using the Taguchi Method," Journal of Food Research, Canadian Center of Science and Education, vol. 2(4).
    • Handle: RePEc:ags:aesjfr:405104
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/405104/files/28473-97954-1-PB.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aesjfr:405104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ccsenet.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.