Low-temperature storage has become the most common way for fresh meat storage because of its lower cost and better preservation effect. Traditional low-temperature preservation includes frozen storage and refrigeration storage. The refrigeration storage has a good fresh-keeping effect, but the shelf life is short. Frozen storage has a long shelf life, but it has a great impact on the quality of meat structure and other qualities, and cannot achieve a complete “fresh-keeping” effect. With the development of food processing storage and freezing technology, two new storage methods, ice temperature storage and micro-frozen storage, have attracted more attention. In this paper, the effects of different low-temperature storage methods on the sensory, physicochemical properties, myofibrillar protein oxidation, microstructure, and processing characteristics of fresh beef were studied. The optimal storage methods under different storage requirements were analyzed to reveal the mechanism and efficacy of ice temperature storage and micro-frozen storage technology, as well as the advantages compared with traditional low-temperature refrigeration. It has practical significance for guiding the application of low-temperature storage of fresh meat. Finally, this study concluded that the longest shelf life could be achieved by frozen storage, and the best preservation effect was achieved during the shelf life of ice temperature storage, and the effect of micro-frozen storage on the myofibrillar protein oxidation and microstructure was the best.

Proteins serve as crucial functional components in food processing, with their unique physicochemical properties directly influencing the texture and stability of food products. Proteins exhibit a range of functional properties, including emulsification, foaming, gelation, and hydration. These properties arise from the structural differences in protein molecules. To equip proteins with enhanced and diversified biological functions, researchers have developed a variety of protein modification techniques. Recent breakthroughs in artificial intelligence technologies have opened new opportunities for research on protein chemical modifications. Novel algorithms based on advanced techniques, such as deep learning, image recognition, and natural language processing, have been developed for intelligent prediction of protein modification sites. The application of these AI technologies provides innovative research tools and methodological support for rational design and targeted engineering of protein functions. This review delves into the applications of chemical modification methods aimed at improving protein solubility, emulsifying capabilities, gelation capacity, antioxidant activity, antimicrobial properties, and nutritional value. These modifications alter the structural and functional attributes of proteins, significantly enhancing their performance within food systems and expanding their application prospects in such domains as medicine and biomaterials.

Natural phenolic compounds (NPCs) have been proven to effectively extend the storage time of meat products in recent years. To promote the discovery of more NPCs and their applications, this review examines recent progress in the classification, antioxidant, and antibacterial mechanisms of NPCs used in meat products. These compounds are found in both edible and inedible parts of plants, including fruits, vegetables, and trees. The recycling of agricultural by-products aligns with green agricultural trends and serves as a guideline for developing new sources of natural additives. Studies on the application of NPCs in various livestock and poultry products, either directly mixed into the matrix or indirectly contacted by preparation into bioactive films and packaging materials, has highlighted the great potential of NPCs. The pro-oxidative effects of NPCs on proteins and their interactions with biological macromolecules, such as proteins, provide new ideas for in-depth research on antioxidant and antibacterial mechanisms.

Theanine, a representative non-protein amino acid in tea, is one of the umami components of tea and a major factor in the formation of the unique flavor of tea leaves. In addition to its delicious taste, theanine has a variety of health functions and is used in the food supplement, pharmaceutical, nutraceutical, and cosmetic industries. This review briefly describes the physiological functions, application prospects, and production methods of theanine. The biosynthetic pathway of L-theanine in natural plants is also introduced. Finally, the microbial synthesis of L-theanine is divided into two major biosynthetic pathways guided by glutamine and glutamate according to the different substrates. According to the status, at present, of the microbial synthesis of L-theanine, the future development of microbial synthesis of L-theanine is prospected, in order to provide technical and theoretical basis for in-depth research on the industrial production of theanine.

The Nanjiang Yellow Goat (NJYG), Jintang Black Goat (JTBG), and Jianzhou Da’er Goat (JZDEG) are representative local goat breeds for meat production in Sichuan Province, China. This study conducted a comprehensive evaluation of the meat quality of the longissimus dorsi muscle of three goat breeds. Variations in meat quality were observed in terms of meat pH, color, ash and fat content, water activity, and muscle fiber structure. Quantitative proteomics analysis was employed to identify biomarkers for goat meat quality, revealing hundreds of differentially expressed proteins among three goat breeds. KEGG enrichment analysis revealed enriched pathways including oxidative phosphorylation, thermogenesis, citrate cycle (TCA cycle), fatty acid degradation and metabolism, as well as valine, leucine, and isoleucine degradation. Moreover, weighted protein co-expression network analysis and protein–protein interaction analysis uncovered valuable biomarkers, including GSTM3, NDUFS, OGDH, ACO2, HADH, ACAT1, ACADS, ACAA2, HSPG2, ITGA7, PARVB, ALDH9A1, ADH5, and LOC102190016, for assessing goat meat quality. This investigation highlighted the disparities in meat quality among local goat breeds in Sichuan, China, and provided insights into underlying biological pathways and valuable biomarkers for goat meat quality.

Microbial community succession is closely related to the corruption of meat, but there are few studies on microbial community assembly and their relationship with physicochemical indexes in meat during chilled storage (4 °C). This study aimed to investigate the mechanism of bacterial community assembly and the effect of microbial succession on quality changes during the preservation of goat meat. The results showed that the stochastic process was the primary driving mechanism during community construction. During the chilled storage, the predominant bacteria in the three groups at the genus level were Acinetobacter and Pseudomonas. With the extension of storage duration, the relative abundance of Pseudomonas in samples from local markets and slaughterhouses increased rapidly and gradually acted as dominant flora during the succession process. Spearman correlation analysis revealed that Pseudomonas exhibited a highly significant positive association with total volatile basic nitrogen (TVB-N) and a highly significant negative correlation with redness (p < 0.01), which is crucial in the degradation of meat quality. These results provide guidance for regulating the microbial communities of goat meat during preservation by optimizing the storage conditions to delay the deterioration of goat meat.