Abstract
Cosmetic products and personal care ingredients were evaluated by a Quantitative Descriptive Analysis®. Three skin sensory panels performed the evaluation of 10 marketed products and 55 personal care ingredients. A detailed exploration of the data was performed in order to understand the variances in the data. Subsequently, a suitable data pre-treatment was applied to reduce the variance in the data. Principal component analysis (PCA) was performed on both data sets (personal care ingredients and marketed products) individually. In addition, the ingredients were projected in the marketed product PCA-space. This projection showed clear overlap between personal care ingredients and some marketed products.
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