Literature DB >> 27107727

Are shear force methods adequately reported?

Benjamin W B Holman1, Stephanie M Fowler2, David L Hopkins2.   

Abstract

This study aimed to determine the detail to which shear force (SF) protocols and methods have been reported in the scientific literature between 2009 and 2015. Articles (n=734) published in peer-reviewed animal and food science journals and limited to only those testing the SF of unprocessed and non-fabricated mammal meats were evaluated. It was found that most of these SF articles originated in Europe (35.3%), investigated bovine species (49.0%), measured m. longissimus samples (55.2%), used tenderometers manufactured by Instron (31.2%), and equipped with Warner-Bratzler blades (68.8%). SF samples were also predominantly thawed prior to cooking (37.1%) and cooked sous vide, using a water bath (50.5%). Information pertaining to blade crosshead speed (47.5%), recorded SF resistance (56.7%), muscle fibre orientation when tested (49.2%), sub-section or core dimension (21.8%), end-point temperature (29.3%), and other factors contributing to SF variation were often omitted. This base failure diminishes repeatability and accurate SF interpretation, and must therefore be rectified. Crown
Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Blade type; Meat; Methodology; Sample preparation; Shear force; Tenderness; Tenderometer

Mesh:

Year:  2016        PMID: 27107727     DOI: 10.1016/j.meatsci.2016.03.032

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  2 in total

1.  Effect of different cooking methods on sensory quality assessment and in vitro digestibility of sturgeon steak.

Authors:  Qiufeng Feng; Suisui Jiang; Xiao Feng; Xiaodong Zhou; Haiyan Wang; Yujin Li; Jinmei Wang; Shuwei Tang; Yiping Chen; Yuanhui Zhao
Journal:  Food Sci Nutr       Date:  2020-03-05       Impact factor: 2.863

2.  Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness.

Authors:  M P Ellies-Oury; M Chavent; A Conanec; M Bonnet; B Picard; J Saracco
Journal:  Sci Rep       Date:  2019-07-10       Impact factor: 4.379

  2 in total

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