IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/396304.html

Optimization of Peanuts with Yingshan Yunwu Tea Flavor Using Response Surface Methodology

Author

Listed:
  • Nan LUO
  • Yuchao TIAN
  • Qingling ZHU
  • Haijian LIU
  • Zhiling HU
  • Furong LIU
  • Fan WANG
  • Ziyi ZHANG
  • Chang LIU

Abstract

Yingshan Yunwu tea was a characteristic agricultural product in Hubei Province. It possesses special flavor and great taste. However, the lack of Yunwu tea products made it lose competition in the market. In this study, the peanuts with Yingshan Yunwu tea flavor were cooked, and the effect of factors on the sensory test was investigated. The single-factor experiment was performed to study all factors on the sensory score of the peanut, including tea amount, salt amount, sugar amount, flavor amount and cooking time. Then, response surface methodology with the Box-Behnken design were carried out, and the optimal formulation composition was 100 g peanuts, 500 mL of water, 25 g tea, 5 g salt, 8 g sugar and 1 g tea flavor with a sensory score of 94.3 points. This study demonstrated that the peanuts with Yingshan Yunwu flavor could be a valuable product for the market and contribute to promoting practical application of Yingshan Yunwu tea.

Suggested Citation

  • Nan LUO & Yuchao TIAN & Qingling ZHU & Haijian LIU & Zhiling HU & Furong LIU & Fan WANG & Ziyi ZHANG & Chang LIU, 2024. "Optimization of Peanuts with Yingshan Yunwu Tea Flavor Using Response Surface Methodology," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 16(12), December.
  • Handle: RePEc:ags:asagre:396304
    DOI: 10.22004/ag.econ.396304
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/396304/files/Optimization%20of%20Peanuts%20with%20Yingshan%20Yunwu%20Tea%20Flavor%20Using%20Response%20Surface%20Methodology.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.396304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:asagre:396304. 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: .

    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.