ArticleFoods (Basel, Switzerland)2024
Widely Targeted Metabolomic Analysis Reveals Dynamic Metabolic Changes in Yanbian Cattle during Dry-Aging Process.
Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Guanidinoacetic acid enhances Tibetan sheep-meat quality through the gut-muscle axis: insights from metabolome-microbiome integration.Food chemistry. Molecular sciences · 2026Article
- The effects of castration on the quality of black Tibetan sheep meat and muscle metabolites.Food science of animal resources · 2026Article
- ACE-Inhibitory Peptides from Yanbian Cattle Hemoglobin: Screening, Kinetics, and Molecular Dynamics Simulation.Foods (Basel, Switzerland) · 2026Article
- Dynamic Metabolic Changes During Postmortem Aging of Yili Horsemeat Revealed by Untargeted Metabolomics.Animals : an open access journal from MDPI · 2026Article
- Enhancing agrifood systems with metabolomics: from crop improvement to food quality.Frontiers in molecular biosciences · 2026Review
- Research on the Quality Variation Patterns During the Fermentation Process of Coffee-Grounds Craft Beer.Foods (Basel, Switzerland) · 2025Article
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Authors and funding
9 authors.
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Abstract
Dry-aging is a postmortem process that can substantially enhance the texture and flavour of beef. This study entailed suspending Yanbian cattle M. gluteus medius in the aging cabinet, maintained at a temperature of 2-4 °C and a relative humidity of 85 ± 5% for 35 days. Throughout this period, samples were systematically collected every 7 days. The widely targeted metabolomic analysis has been used in this investigation to analyse the dynamic changes in Yanbian cattle metabolites during dry-aging. A total of 883 metabolites were identified, with amino acids and their metabolites representing the largest proportion. Multivariate statistical analysis showed that 373 metabolites were identified as differential metabolites that changed significantly during the dry-aging process, including metabolites of amino acids, glycerophospholipids, and nucleotides and their metabolites. Additionally, 308 metabolites exhibited various increasing trends with time in dry-aging. The analysis of KEGG pathway analysis showed that ABC transporters, glycerophospholipid, and arachidonic acid metabolism are the most important metabolic pathways during dry-aging. These findings can guide technological developments in the meat processing sector and provide valuable insights into the metabolic traits and pathways of Yanbian cattle during the dry-aging process.
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