Abstract

One of the main problems of modern production of meat products is the quality of raw meat, which depends on various factors including genetic components, conditions of transportation, production and processing. The most important components of meat are proteins, the total content, structure and functional state of which in this complex biological system with many interacting components is constantly changing. In order to study the interspecific and intraspecific features of meat proteins, their transformations in the process of maturation and processing requires modern analytical technologies based on the systematic approach to the analysis. Proteomics, as a methodology for studying proteins in a certain system and at a certain time, opens wide opportunities in this direction, allowing to identify and develop accurate analytical methods for searching biomarkers and identifying unfair practices. Given the high added value and multicomponent composition, finished meat products are among the most susceptible to adulteration. Current paper presents a technique of high-performance liquid chromatography with mass spectrometric detector ( HPLC-MS ) adapted for the detection and quantification of two different types of meat (beef and pork) in a complex biological matrix such as structureless minced meat. After the protein isolation and trypsin cleavage, species-specific peptide markers were selected for each animal species for the quantification. The technique was tested on model samples of a mixture of muscle tissue of the two species of animals. A good sensitivity was established with the possibility of quantitative determination of muscle tissue of each animal species using special calibration graphs. The developed technique can find wide application at the supervising organizations aimed at counteracting the discrepancies in the hidden replacement of types of meat by cheaper or low-grade raw materials. Keywords : Biomarker, prototypical peptides, HPLC-MS, species identification (Russian) DOI: http://dx.doi.org/10.15826/analitika.2019.23.4.012 D.V. Khvostov 1 , N.L. Vostrikova 1 , A.V. Zherdev 2 , E.A. Zvereva 2 , A.A. Kurzova 1 1 V.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences , 109316 Moscow, Russian Federation 2 Federal State Institution «Federal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences», Leninsky prospect, 33, build. 2, 119071 Moscow, Russian Federation

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