• DocumentCode
    679008
  • Title

    Development of a predictive water-holding capacity method in postmortem longissimus dorsi muscle

  • Author

    Abdullah, Badr M. ; Mason, Alex ; Cullen, Jeff D. ; Al-Shamma´a, A.I.

  • Author_Institution
    Sch. of Built Environ., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    953
  • Lastpage
    957
  • Abstract
    To accelerate measurement of the water-holding capacity (WHC) of meat, a predictive method based on the use of electromagnetic microwave spectroscopy is investigated. A system is developed to estimate WHC from postmortem muscle. The proposed method is compared with the widely used EZ-Driploss method. WHC is normally estimated by measuring drip loss of the early postmortem muscle over a long period of time. Unlike current methods which are time-consuming, this method estimates the drip loss within 30 minutes. Drip loss of longissumus dorsi muscle is measured using the developed method and the EZ-Driploss method. Results indicate that there is a strong correlation between reflection and transmission signatures of the meat samples and their corresponding drip loss measured using the EZ-Driploss method.
  • Keywords
    food products; food technology; microwave spectroscopy; quality control; EZ-Driploss method; drip loss measurement; electromagnetic microwave spectroscopy; meat predictive water-holding capacity method; postmortem longissimus dorsi muscle; Cavity resonators; Containers; Current measurement; Loss measurement; Muscles; Proteins; Spectroscopy; EZ-Driploss; Water-holding capacity (WHC); drip loss; electromagnetic spectroscopy; longissimus dorsi muscle; microwave cavity; porcine meat; postmortem muscle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2013 Seventh International Conference on
  • Conference_Location
    Wellington
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-5220-8
  • Type

    conf

  • DOI
    10.1109/ICSensT.2013.6727790
  • Filename
    6727790