Characterization and discrimination of selected China's domestic pork using an LC-MS-based lipidomics approach

Abstract A lipidomics study using liquid chromatography-tandem mass spectrometry and multivariate statistics was conducted in this work to discriminate raw pork meat. A total of 1180 lipid species were identified in the studied pork samples. Four, three and eight lipids were determined as potential discriminatory markers for the five cuts (shoulder, rump, loin, shank and belly) of Tibetan, Jilin and Sanmenxia black pigs, respectively. Distinct lipidomic fingerprints of Tibetan, Jilin and Sanmenxia pork were obtained and they were clearly separated into three clusters by partial least squares discriminant analysis (PLS-DA). The developed PLS-DA model (R 2 X = 0.603, R 2 Y = 0.861 and Q 2  = 0.752) enables a 91.1% correct classification of pork samples. One-hundred variables, including 61 glycerolipids, 17 glycerophospholipids, 4 sterol lipids, 2 sphingolipids, 3 polyketides, 7 fatty acyls and 6 prenol lipids, were found to have high potential (variable importance in projection value > 1, p -value