Analysis of the content of mechanically separated poultry meat in sausage using computing microtomography

Autor: Salam A. Ibrahim, Lyudmila Timchenko, Sergey Piskov, Igor Rzhepakovsky, Shahida Anusha Siddiqui, A. V. Blinov, A.D. Lodygin, N.P. Oboturova, A.A. Nagdalian
Rok vydání: 2021
Předmět:
Zdroj: Journal of Food Composition and Analysis. 100:103918
ISSN: 0889-1575
DOI: 10.1016/j.jfca.2021.103918
Popis: This study highlights the possibility of computing microtomography application in food engineering. Standard methods for identifying bone inclusions in sausage products were compared to the proposed method of computing microtomography. The disadvantages of chemical and histological analysis in determining the content of mechanically separated meat in sausage are indicated and described. 2D and 3D microtomograms of the studied sausage samples were obtained. Using computing tomography analyzer (CTAn) software, quantitative analysis of sausage microstructure characteristics were produced. Characteristics of bone and cartilage inclusions in experimental samples are determined. At the end of the study, additional parameters of sausage samples were obtained and analyzed that allowed us to conduct complete sausage microstructure engineering. It is concluded that computer microtomography can be used for detailed microstructural analysis of food products to ensure the quality of production or food fraud identification.
Databáze: OpenAIRE