A method for differentiating the meat of meat-producing animals into quality groups based on measuring the amount of free (crystallizing) water
The problem of identifying meat by quality groups is a crucial task. Various feeding regimes, type of meatproducing animals, cuts, and method and duration of meat storage before sale have a signifi cant impact on its categorization. In the Russian Federation, the meat of meat-producing animals is usually divided into 3 main groups according to quality: NOR — normal quality, with normal post-mortem autolysis, and PSE and DFD —with abnormal autolysis. The research has established that, to a large extent, the classification of meat into one of these groups is associated with the state of intramuscular moisture. The presence of free moisture not associated with hydration shells gives the meat low consumer qualities. As a result of the research, it has been proposed to estimate the amount of free and bound water using the thermal effects that occur when freezing meat. Free water undergoing fi rst-order phase transitions during the freezing process releases latent heat of crystal formation. Based on the amount of such heat, it is proposed to estimate the amount of free water and, accordingly, classify a given batch of meat into one or another quality group. A method and equation for calculating the amount of free (crystallizing) water in meat is proposed. The technique can be used for commodity assessment of the suitability of a specific batch of meat, including for customs control purposes and in the development of specialized diets.
Authors
- Л.Г. Елисеева (ORCID: https://orcid.org/0000-0003-2715-9989)
- П.И. Токарев (ORCID: https://orcid.org/0009-0003-2380-4220)
- Yury Ilich Sidorenko
- Сергей Валерьевич Штерман
- Л.В. Селезнева
- Elvira Ibragimova
- A.Yu. Sidorenko
- N.I. Murzina
Publication Details
- Journal
- Tovaroved prodovolstvennykh tovarov (Commodity specialist of food products)
- Published
- 2024-10-21
- DOI
- https://doi.org/10.33920/igt-01-2411-01
- Primary Topic
- Food Industry and Aquatic Biology
- Type
- article
- Field-Weighted Citation Impact
- 0.00