Objective: To provide a reference for the quality control of the different species and specifications of Cervi Cornu Pantotrichum based on multivariate statistical analysis. Method: The contents of 17 amino acids

nucleoside

phospholipids

cholesterol and polyamine were determined by high performance liquid chromatography(HPLC). Ultraviolet spectrophotometry(UV) was employed for the determination of the contents of water soluble protein and total phospholipid. Variance analysis and cluster analysis were applied to study the characteristics of Cervi Cornu Pantotrichum based on the data of analysis of the content of nutrient content by SPSS 19.0. Result: There was not significantly difference in the content of total amino acid

total phospholipids

phospholipids and polyamines among different specifications and varieties of Cervi Cornu Pantotrichum(P<0.05). The content of essential amino acids in Sancha of Cervus elaphus was significantly lower than that of the other specifications of C. elaphus and all C. nippon(P<0.05). The content of nucleoside in Ergangcezhiercha of C. nippon was higher than that of Ergang zhuzhi toucha and Sancha toucha(P<0.05). The content of water-soluble protein in Sicha of C. elaphus was significantly different from that of other specifications of C. elaphus

Ergang zhucezhi toucha and Sancha of C. elaphuss(P<0.05). The variance analysis showed that the content of cholesterol in Danmen and Sicha of C. elaphus Linnaeus was significantly different from that of Ergangcezhiercha and Sancha of C. nippon(P<0.05). The clustering analysis could not classifiy C. elaphus and C. nippon into two main categories

because of the phenomenon of cross-clustering. Different evaluation indexes resulted in different results of cluster classification. Conclusion: The application of variance analysis technique and cluster analysis in evaluating the quality of Cervi Cornu Pantotrichum and its reliability is reliable

and provides important basis for the development and application of velvet antler.