biostudies-literatureUnknown11(24)Shen LThis study aimed to identify biomarkers for pork quality evaluation. Firstly, the correlation between indicators of pork quality evaluation was investigated. The pH of pork meat at 45 min post slaughter showed a significant negative correlation with meat color indicators (r: -0.4868--0.3040). Subsequently, porcine plasma samples were further divided into low pH (pH = 6.16 ± 0.22) or high pH (pH = 6.75 ± 0.08) groups. Plasma metabolites in both sample groups were investigated using untargeted metabolomics. In total, 90 metabolites were recognized as differential metabolites using partial least squares discriminant analysis. Pathway enrichment analysis indicated these differential metabolites were enriched in amino acid metabolism and energy metabolism. Correlation analysis revealed that creFoods (Basel, Switzerland)4005https://www.ebi.ac.uk/biostudies/studies/S-EPMC9778167biostudies-literaturePlasma Metabolomic Profiling Reveals Preliminary Biomarkers of Pork Quality Based on pH Value.PMC9778167Shen LZhang KGuo ZChen LZhang SWang JZhao YTang JLi XZhu LGan MJiang AMa JNiu LChen YZhou HfalsePlasma Metabolomic Profiling Reveals Preliminary Biomarkers of Pork Quality Based on pH Value.This study aimed to identify biomarkers for pork quality evaluation. Firstly, the correlation between indicators of pork quality evaluation was investigated. The pH of pork meat at 45 min post slaughter showed a significant negative correlation with meat color indicators (r: -0.4868--0.3040). Subsequently, porcine plasma samples were further divided into low pH (pH = 6.16 ± 0.22) or high pH (pH = 6.75 ± 0.08) groups. Plasma metabolites in both sample groups were investigated using untargeted metabolomics. In total, 90 metabolites were recognized as differential metabolites using partial least squares discriminant analysis. Pathway enrichment analysis indicated these differential metabolites were enriched in amino acid metabolism and energy metabolism. Correlation analysis revealed that cre2022-01-01T00:00:00Z2022 Dec2025-04-21T23:24:50.143Z2025-04-05T19:06:29.57ZS-EPMC97781673655374710.3390/foods11244005