@article{LIU2023, 
author = {Meng LIU and Shunliang ZHANG and Mingwu ZANG and Bing ZHAO and Ning ZHU and Su LI and Qianrong WU and Bowen LIU and Yan ZHAO and Xiaoling QIAO and Shouwei WANG},
title = {Non-Targeted Metabolomics Analysis of Metabolite Changes in Beef during Dry Aging},
year = {2023},
journal = {Food Science},
volume = {44},
number = {10},
pages = {249-256},
keywords = {dry aging, beef, metabolomics, differential metabolites, metabolic pathways},
url = {https://www.sciopen.com/article/10.7506/spkx1002-6630-20220629-328},
doi = {10.7506/spkx1002-6630-20220629-328},
abstract = {The study aimed to investigate the dynamic changes of metabolites in beef high rib with different dry-aging periods by non-targeted metabolomics based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS). Multivariate statistical analysis and metabolic pathway analysis were performed on the metabolites. The results showed that 41 differential metabolites were identified in dry-aged beef, including 21 amino acids, 16 fatty acids, 2 nucleotides and 2 other metabolites. The types and relative contents of differential metabolites increased significantly with prolonged aging time. Five key metabolic pathways were identified, including purine metabolism; fatty acid degradation; alanine, aspartate and glutamate metabolism; arginine and proline metabolism; and the tricarboxylic acid (TCA) cycle, which could promote the formation of flavor and nutrients in dry-aged beef.}
}