This article describes the approach of the spectrum descriptive analysis (SDA) method to evaluate sensory properties of skin care products. The terminology for various lotions and creams was developed using SDA. A total of 26 attributes on five phases was developed with definitions and scales. Through discriminative, descriptive and scaling testing, 10 panelists were selected, and panel training was conducted until the panel grand standard deviation of the evaluated data of calibration samples showed less than 1.0. After the extensive training on sensory perceptions and scaling, the panelists evaluated the 26 attributes on 12 aqua‐cream products. In the principal component analysis result of aqua‐cream data, the first principal component (PC) was mainly related to oiliness, viscosity, adhesiveness and thickness on one side of the scale and transparency, wetness, coolness and spreadability on the other, with 40% of variance. The stickiness and gloss contributed greatly to the second PC with 30% of variance. The total amount of variance that was explained at the two PCs was 78%. In the biplot loadings of products and attributes, creams of K and L were identified by their higher degrees of wetness, spreadability and moisturization. They had lower degrees of stickiness, gloss and oiliness.
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