FOOD SCIENCE ›› 2021, Vol. 42 ›› Issue (24): 229-235.doi: 10.7506/spkx1002-6630-20200817-223

• Component Analysis • Previous Articles    

Analysis and Comprehensive Evaluation of Amino Acid Compositions of Apricot Seed Kernels from Different Cultivars

LU Ran, WANG Bingzhi, TIAN Yingzi   

  1. (School of Light Industry Science and Engineering, South China University of Technology, Guangzhou 510640, China)
  • Published:2021-12-30

Abstract: The nutritional value of proteins in apricot seed kernels from ten cultivars planted in Xinjiang was systematically evaluated in terms of essential amino acid index (EAAI) and score of ratio coefficient of amino acid (SRC). Comprehensive quality evaluation was using principal component analysis (PCA) and cluster analysis (CA). The results showed that the total amino acid content of apricot seed kernels ranged from 16.7% to 23.12%, the ratio of essential amino acids to total amino acids varied from 32.18% to 33.75%, the EAAI were more than 100, and the SRC was less than 100. There were great differences among cultivars in these parameters. The restricted amino acids were sulfur-containing amino acids and Lys. Three principal components were extracted by principal component analysis (PCA), which cumulatively explained 90.295% of the total variance. The reconstructed comprehensive evaluation model based on the variance contribution rate of each principal component better reflected the comprehensive information of apricot seed kernel protein, and could be used to rank the ten cultivars according to their quality. Cluster analysis divided these cultivars into four categories, which was consistent with principal component analysis.

Key words: apricot seed kernel; amino acid; nutritional analysis; principal component analysis; cluster analysis

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