New method for large-scale facial skin sebum quantification and skin type classification.

Area of Science:

• Dermatology
• Cosmetic Science
• Biomedical Engineering

Background:

• Increasing demand for personalized skincare necessitates accurate, remote skin condition assessment.
• Current methods lack convenience and objectivity for widespread application.
• Objective quantification of skin parameters is crucial for product development.

Purpose of the Study:

• To develop and validate a novel, objective method for quantifying facial sebum excretion.
• To establish a reliable model for objective skin type classification based on sebum levels.
• To assess the consistency of the new method with self-reported skin types.

Main Methods:

• Utilized Sebutape for quantitative measurement of facial sebum excretion.
• Developed a classification model for objective skin type determination.
• Collected and analyzed 2173 sebum quantification samples from diverse participants.

Main Results:

• The new method demonstrated good agreement with subjective skin type assessments (60.33% consistency).
• Discrepancies were minimal (0.55%), primarily due to broad criteria for combination skin types.
• Identified age-related patterns in sebum levels among Chinese women, peaking in the 20s-30s and declining after 40.

Conclusions:

• The developed sebum quantitative method offers a precise and consistent tool for skin condition evaluation.
• This method aligns well with self-reported skin types, enhancing user trust.
• It provides a valuable resource for the cosmetic industry in developing personalized skincare solutions.