Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Modeling of supercritical fluid extraction bed: A critical review

    92067.pdf (806.9Kb)
    Access Status
    Fulltext not available
    Authors
    Banafi, Ahmad
    Wee, Siaw Khur
    Tiong, Angnes Ngieng Tze
    Kong, Z.Y.
    Saptoro, Agus
    Sunarso, J.
    Date
    2023
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Banafi, A. and Wee, S.K. and Tiong, A.N.T. and Kong, Z.Y. and Saptoro, A. and Sunarso, J. 2023. Modeling of supercritical fluid extraction bed: A critical review. Chemical Engineering Research and Design. 193: pp. 685-712.
    Source Title
    Chemical Engineering Research and Design
    DOI
    10.1016/j.cherd.2023.04.001
    ISSN
    0263-8762
    Faculty
    Global Curtin
    School
    Global Curtin
    URI
    http://hdl.handle.net/20.500.11937/92243
    Collection
    • Curtin Research Publications
    Abstract

    In recent decades, supercritical fluid has gained increasing interest in various industries. One of its promising applications is the extraction of valuable compounds from solid materials such as various plant parts, known as supercritical fluid extraction (SFE). With growing interest to employ SFE commercially, it is vital to provide reliable and robust mathematical modeling for the SFE to optimize the process and achieve maximum extraction yield and to better understand the process mechanism. The present review aims to critically report and discuss different strategies proposed thus far for the mathematical modeling of the SFE process in packed bed columns. The main features, key assumptions and their validity, mathematical expressions, and applications of each modeling strategy are evaluated. Additionally, this manuscript covers a comprehensive review of the different studies carried out for SFE of plant matrices encompassing mathematical modeling part. The studied systems in each research (both solute and solid substrate) along with the employed models as well as the ranges of the operational conditions such as pressure, temperature, and solvent flow rate are also highlighted. This review assists the scientific community to identify the most suitable models and the appropriate operating conditions for different systems in the SFE process.

    Related items

    Showing items related by title, author, creator and subject.

    • An integrated approach to artificial neural network based process modelling
      Saptoro, Agus (2010)
      ANN technology exploded into the world of process modelling and control in the late 1980’s. The technology shows great promise and is seen as a technology that could provide models for most systems without the need to ...
    • Effective computational models for timetabling problem
      Aizam, Nur Aidya Hanum (2013)
      Timetabling is a table of information showing when certain events are scheduled to take place. Timetabling is in fact very essential in making sure that all events occur in the time and place required. It is critical in ...
    • The upper secondary school mathematics curriculum in Western Australia from 1950-1998 : implementation and evaluation.
      Spyker, Geert M. (1999)
      The study upon which this thesis is based aimed, first of all, to document the history of mathematics curriculum change in Western Australia. Although curriculum development in mathematics in this State has been an ongoing ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.