IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v5y2020i9id62115.html

Modelling and Optimization of Ultrasound Assisted Extraction of Polyphenols Using Response Surface Methodology

Author

Listed:
  • Junior Franck Ekorong Akouan Anta

    (Department of Environmental Technology, Food Technology, and molecular Biotechnology, Ghent University Global Campus, Incheon, South Korea, 119 Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea; Department of Food Technology, Safety and Health, Faculty of Bioscience, engineering, Ghent University, Belgium, Coupure Links 653, Block B 9000 Ghent)

  • Biloa Dorothée Marcelle

    (National Committee of Technology Development, Ministry of Scientific Research and Innovation, Yaoundé, Cameroon, P. O. Box 1457 Yaoundé Cameron; Department of Food Science and Nutrition, National advanced School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon, P. O. Box 455 Ngaoundéré, Cameroon)

  • Bruno Fabrice Siewe

    (Department of Meat and Marine Sciences, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India)

  • Raghavarao K. S. M. S.

    (Food Engineering Department, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India)

Abstract

Mango seed kernels are by-products of the consumption and transformation of mango fruits (Mangifera indica L.). Many ways of valorisation have been proposed, and among them, their phenolic compounds extraction. To increase the extraction yield, ultrasound-assisted extraction was modelled and optimized. The 4 factors Central Composite design associated with the Response Surface Methodology (RSM) were used to achieve that goal. The effect of extraction time, temperature, stirring rate and the Ultrasound Amplitude, on the total phenolic compound extraction yield and the total reducing power of the extract, were studied and modelled. The modelling allows us to do a multi-response optimization to identify the best-operating conditions to achieve at the same time the highest extraction yield and antioxidant capacity. The optimal operating conditions achieved were 41.82 min of extraction time, 54.75?C as extraction time, under 266.67 rpm as stirring rate, and 100% ultrasound amplitude. With an expected extraction yield of 71.35 mg GA/g, and 123.058 mg AA/g of total reducing power. 2 extraction cycles, under these conditions, are enough to extract a maximum of the phenolic content, under the described conditions.

Suggested Citation

  • Junior Franck Ekorong Akouan Anta & Biloa Dorothée Marcelle & Bruno Fabrice Siewe & Raghavarao K. S. M. S., 2020. "Modelling and Optimization of Ultrasound Assisted Extraction of Polyphenols Using Response Surface Methodology," European Journal of Engineering and Technology Research, European Open Science, vol. 5(9), pages 1004-1012, September.
    • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:9:id:62115
    DOI: 10.24018/ejeng.2020.5.9.2115
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62115
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62115/12483
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2020.5.9.2115?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:epw:ejeng0:v:5:y:2020:i:9:id:62115. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.