Multivariate Analysis of CBD-in-Water Emulsions Using Cosmetic-Grade Surfactants
DOI:
https://doi.org/10.47187/perf.v1i36.408Keywords:
CBD emulsions, facial toner, rose water, micellar water, CBD multivariate statistical analysis, neural networkAbstract
Facial toners formulated with cannabidiol (CBD) have gained popularity in the cosmetic industry due to their anti-inflammatory, antioxidant, and soothing properties. The use of surfactants is essential, as they stabilize the emulsion and promote the dispersion of CBD, improving its skin absorption by facilitating the penetration of the compound through the aqueous matrix. This study evaluated CBD-in-water emulsions for three cosmetic products: micellar water (MW), rose water (RW), and facial toner (FT). Three surfactants were tested: SA1 (Tween 20), SA2 (natural lecithin), and SA3 (Tween 80), under different concentrations and temperatures. Quantitative measurements were performed to determine viscosity and pH changes, while qualitative assessments of color changes were conducted as indicators of emulsion degradation. The statistical analysis included exploratory, descriptive, and inferential methods. Multiple correspondence analysis was also used to identify associations between categories. Additionally, models for pH prediction were developed using statistical and machine learning approaches. The facial toner emulsion showed greater stability over 14 weeks of storage and exhibited no signs of degradation within the evaluated temperature range. The formulation using surfactants SA1 and SA3 was considered the most suitable for cosmetic use. The most appropriate prediction model was multiple linear regression, with an R² of 0.7045 and a mean squared error of 0.1786. This study provided technical criteria for the development of cosmetic formulations with CBD.
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