New method for large‐scale facial skin sebum quantification and skin type classification. (16th July 2020)

• Record Type: Journal Article
• Authors: Qin, Jingjing; Qiao, Liyuan; Hu, Jingjing; Xu, Jichao; Du, Le; Wang, Qianqian; Ye, Rui
• Is Part Of: Journal of cosmetic dermatology. Volume 20:Number 2(2021)
• Page Start: 677
• Page End: 683
• Publication Date: 2020-07-16
• Subjects: Chinese facial sebum excretion -- Chinese facial skin condition -- quantification analysis -- sebum excretion measurement -- Sebutape application -- skin type detection; Skin -- Diseases -- Treatment -- Periodicals; Lasers in surgery -- Periodicals; Skin -- Pathophysiology -- Periodicals; Surgery, Plastic -- Periodicals; 616.5
• DOI: 10.1111/jocd.13576
• Languages: English
• ISSNs: 1473-2130

Abstract

Abstract: Background: The demand for personalized skin care is increasing rapidly in recent years. In order to provide suitable products for different customers, an accurate assessment of the skin condition is required. It is necessary to establish a remote and convenient method for quantifying skin condition. Materials and Methods: We established a new method for quantifying the facial sebum excretion, using Sebutape as well as a model for objective skin type classification. Results: In total, 2173 sebum quantification samples were collected and categorized into 4 skin types. We found good agreement between subjective and objective skin types. 60.33% of the detection is consistent, and the proportion of discrepancies is only 0.55%. The main mismatch is caused by broad criteria for combination type classification. Quantifying the sebum excretion will help to describe and analyze the skin state easily. We found sebum levels in Chinese women peak at the age between 20 and 30 and decrease dramatically after age 40s. Conclusion: This new sebum quantitative method is well consistent to self‐report skin type. In addition, it provides a powerful tool for the cosmetic industry to evaluate skin condition precisely and recommend personalized products accordingly.