Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert...

Area of Science:

• Cosmetic Science
• Dermatology
• Artificial Intelligence in Formulation

Background:

• Skin penetration of cosmetic molecules is limited by the stratum corneum.
• High concentrations of certain active ingredients, like sunscreens, can cause adverse effects.
• Predictive tools are needed to optimize topical formulation efficacy and safety.

Purpose of the Study:

• To evaluate the predictive capabilities of Formulating for Efficacy® Software for topical cosmetic compounds.
• To assess the software's ability to forecast changes in bioavailability.
• To compare software-suggested formulations with formulator-prepared ones.

Main Methods:

• Utilized Franz diffusion cell methodology to measure skin penetration.
• Selected various oils for their low release capabilities.
• Compared software-predicted lipophilic phases in Benzophenone-3 formulations against reference emulsions.

Main Results:

• The software accurately predicted lipophilic phases, leading to stable emulsions.
• Software-guided formulations were sometimes superior in appearance and consistency.
• The software demonstrated limitations in predicting hydrophilic phases, emulsifiers, and preservatives.

Conclusions:

• Formulating for Efficacy® Software shows promise in predicting cosmetic formulation behavior, particularly lipophilic phases.
• Further development is needed to enhance its predictive accuracy for hydrophilic components and formulation auxiliaries.
• AI holds potential for optimizing topical cosmetic development, balancing efficacy and safety.