采用主成分与聚类分析对市售保湿乳液感官评价的研究

doi:10.13218/j.cnki.csdc.2016.12.009

Abstract

Abstract: The skin status of human hand after using 26 kinds of commercial moisturizing lotions for three stages as just completion of smearing,2 and 5 min after the smearing respectively was investigated employing quantitative descriptive analysis (QDA).Principal component analysis (PCA) and agglomerative hierarchical clustering (AHC) analysis were adopted for further study.The results of PCA showed that two principal components (with eigenvalues of 4.182 and 2.611 respectively) were extracted from the sensory characteristics.In addition,the first two principal components accounted for 84.91%,one of which describes the skin absorption including three stages of moisturizing sense and softness,and the another describes remnant on the skin covering three stages of stickness sensation.Furthermore,in combination with AHC analysis,the results indicated that the 26 kinds of commercial moisturizer can be classified into two types which contain 12 and 14 kinds of market product respectively.The 26 kinds of commercial moisturizing lotion were successfully distributed into principal component distribution diagram,and were classified in this study.

Key words: moisturizing lotion, sensory evaluation, quantitative descriptive analysis, principal component analysis, agglomerative hierarchical clustering analysis

CLC Number:

TQ658.2

WANG Fei-fei,MA Xiao,MO Jun-ying,WU Meng-jie,YIN Yuan-yuan,LIN Wen-qiang. Sensory evaluation of commercial moisturizing lotions based on principal component analysis and cluster analysis[J].China Surfactant Detergent & Cosmetics, 2016, 46(12): 718-722.

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Sensory evaluation of commercial moisturizing lotions based on principal component analysis and cluster analysis

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