This study proposed a technique for identifying the authenticity of geographic indication mutton based on mineral element fingerprint combined with one-class modeling strategy. The results showed that the contents of mineral elements in the meat of Yanchi Tan sheep, Balikun Kazak sheep and Sunit sheep under the protection of geographical indication had fingerprint characteristics. In the one-class modeling strategy, only real sample sets were collected for modeling to identify the real samples from a variety of fraud samples. The soft independent modeling of class analogy (SIMCA) model based on each of the geographical indication mutton samples had excellent performance, with an identification accuracy of 100% for the test samples. Therefore, mineral element fingerprint combined with one-class modeling has a wide application prospect in the field of authenticity identification of geographical indication mutton.

Mass spectrometry-based proteomics has been gradually applied in the authentication of meat products, which can identify, detect and quantify specific biomarker proteins or peptides, providing an effective technical means for confirming the true attributes, contents and sources of species. This article briefly introduces the proteomics workflow, and gives a detailed overview of the extraction, identification, thermal stability and screening principle of species-specific peptides. Meanwhile, this article describes the application of proteomics in the detection and identification of animal-derived and non-meat protein components in meat products, and discusses prospects for future directions.

Quantitative analysis of beef, chicken in beef products was achieved using species-specific peptides and liquid chromatography-tandem mass spectrometry (LC-MS/MS) in this study. Beef meat was mixed with pork and chicken at ratios of 10%, 50% and 80%, separately. Validation of the species-specific peptides and quantitative analysis of meat products prepared in our laboratory were conducted, showing linear correlation coefficients above 0.99. Meanwhile, 10 commercially available beef products were detected, and a quantitative analysis method based on species-specific peptides was established. The results showed that the developed method allowed quick and effective identification and quantitative analysis of beef products, providing new ideas for the authentication and quantitative analysis of processed meat products.