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http://dx.doi.org/10.14478/ace.2021.1072

Optimization of Surfactant Mixture Composition for Cleansing Using Mixture Experiment Design  

Song, Maria (Department of health and cosmetics, Dongduk Women's University)
Jin, Byung Suk (Department of health and cosmetics, Dongduk Women's University)
Publication Information
Applied Chemistry for Engineering / v.32, no.5, 2021 , pp. 574-580 More about this Journal
Abstract
The main goal of this study was to find an optimal surfactant mixture composition for the development of the best performing cleansing products. Three different surfactants including sodium cocoyl alaninate (SCoA), cocamidopropyl betaine (CPB), and decyl glucoside (DG) were selected, which showed excellent properties in detergency, foaming height, and contamination rate through preliminary experiments. The experiments by simplex centroid design matrix for surfactant mixtures were performed, and the regression analysis was conducted with the experimental data. Surface response model equations, which is statistically significant (p < 0.05), were obtained. The optimal composition of the surfactant mixture was also determined as SCoA (0.22), CPB (0.78), and DG(0.00) from simultaneous optimization of three response variables.
Keywords
Mixture experiment design; Optimal mixture composition; Surfactant; Cleansing; Detergency;
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