• Login
    View Item 
    •   Repository Home
    • Staff Publications
    • School of Agriculture & Food Science
    • View Item
    •   Repository Home
    • Staff Publications
    • School of Agriculture & Food Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Effect of pulsed electric field treatments at various stages during conditioning on quality attributes of beef longissimus thoracis et lumborum muscle

    Thumbnail
    Date
    2015
    Author
    Arroyo C
    Lascorz D
    O'Dowd L
    Noci F
    Arimi J
    Lyng JG
    Metadata
    Show full item record
    Abstract
    Beef longissimus thoracis et lumborum (LTL) muscle was used to evaluate the effect of PEF treatments (1.4 kV/cm, 10 Hz, 20 μs, 300 and 600 pulses) on meat quality attributes (weight loss, colour, cook loss and texture) and its evolution at various stages during ageing (2, 10, 18 and 26 days post-mortem). The length of meat ageing before and after PEF application exerted no influence on weight loss, colour and cook loss. Results also demonstrated that PEF treatments applied at different times post-mortem (2, 10, 18 and 26 days) showed a tendency towards reducing toughness of beef samples but that the application of PEF did not affect the tenderization process provided by ageing itself. 60% of the sensory panellists scored PEF treated samples as tender (≥6.0 points out of 9.0) whereas only 27.5% did so for untreated samples.
    URI
    http://repository.must.ac.ke/handle/123456789/1107
    Collections
    • School of Agriculture & Food Science [251]

    MUST Repository copyright © 2002-2016  MUST Repository
    Contact Us | Send Feedback
    Theme by 
    MUST Repository
     

     

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    MUST Repository copyright © 2002-2016  MUST Repository
    Contact Us | Send Feedback
    Theme by 
    MUST Repository