1. Development of class model based on blood biochemical parameters as a diagnostic tool of PSE meat.
- Author
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Qu D, Zhou X, Yang F, Tian S, Zhang X, Ma L, and Han J
- Subjects
- Abattoirs, Animals, Aspartate Aminotransferases blood, Biomarkers blood, Blood Glucose analysis, China, Creatine Kinase blood, Crosses, Genetic, Discriminant Analysis, Electric Conductivity, Food Inspection, Hydrogen-Ion Concentration, L-Lactate Dehydrogenase blood, Lactic Acid blood, Meat classification, Muscle, Skeletal chemistry, Pigments, Biological analysis, Principal Component Analysis, Sus scrofa blood, Food Quality, Meat analysis, Meat-Packing Industry methods, Models, Biological, Muscle, Skeletal growth & development, Sus scrofa growth & development
- Abstract
A fast, sensitive and effective method based on the blood biochemical parameters for the detection of PSE meat was developed in this study. A total of 200 pigs were slaughtered in the same slaughterhouse. Meat quality was evaluated by measuring pH, electrical conductivity and color at 45min, 2h and 24h after slaughtering in M. longissimus thoracis et lumborum (LD). Blood biochemical parameters were determined in blood samples collected during carcass bleeding. Principal component analysis (PCA) biplot showed that high levels of exsanguination Creatine Kinase, Lactate Dehydrogenase, Aspertate aminotransferase, blood glucose and lactate were associated with the PSE meat, and the five biochemical parameters were found to be good indicators of PSE meat Discriminant function analysis (DFA) was able to clearly identify PSE meat using the five biochemical parameters as input data, and the class model is an effective diagnostic tool in pigs which can be used to detect the PSE meat and reduce economic loss for the company., (Copyright © 2017 Elsevier Ltd. All rights reserved.)
- Published
- 2017
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