Establishment of a Model to Evaluate the Nutritional Quality of Silkworm Pupae Fat Based on Principal Components
Oil was extracted from silkworm (Bombyx mori) pupae using supercritical carbon dioxide extraction.Principal component analysis (PCA) was used to establish a mathematical model with cluster analysis based on 90 silkworm varieties using monomer fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs) as indices.The influence of the variety of the silkworm pupae on the crude fat and MUFAs was remarkably significant.Single-factor correlation analysis indicated that the PUFAs content was significantly positively correlated with the α-linolenic acid (ALA) and negatively correlated with the oleic acid (OA) contents.The amount of ALA and PUFAs were the key factors determining the nutritional value of the pupae fat, because their loading coefficients in the mathematical model were higher than those of the other factors.Cluster analysis on the composite scores of the principal component divided the 90 varieties into three groups.A cluster of 5 varieties with the best nutritional value was characterized by high contents of ALA and PUFAs and a low content of oleic acid.
silkworm pupae fat principal component analysis nutritional evaluation mode
ZOU Yu-Xiao HU Teng-gen SHI Ying LIU Jun MU Li-xia XIAO Yang LIAO Sen-tai
Sericultural & Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences;Key Laboratory of Functional Foods, Ministry of Agriculture;Guangdong Key Laboratory of Agricultural Products Processing
国内会议
“健康食品与功能性食品配料”学术研讨会暨2016年广东省食品学会年会
广州
英文
39-46
2016-12-01（万方平台首次上网日期，不代表论文的发表时间）