Qin Jingjing, Qiao Liyuan, Hu Jingjing, Xu Jichao, Du Le, Wang Qianqian, Ye Rui
Department of Dermatology, Forest Industry Worker Hospital of Shaanxi Province, Xi'an, PR China.
Department of Science, Inertia Shanghai Biotechnology Co., Ltd, Shanghai, PR China.
J Cosmet Dermatol. 2021 Feb;20(2):677-683. doi: 10.1111/jocd.13576. Epub 2020 Jul 16.
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.
We established a new method for quantifying the facial sebum excretion, using Sebutape as well as a model for objective skin type classification.
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.
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.
近年来，对个性化皮肤护理的需求迅速增长。为了为不同客户提供合适的产品，需要对皮肤状况进行准确评估。有必要建立一种远程且便捷的方法来量化皮肤状况。
我们建立了一种使用皮脂测试条量化面部皮脂分泌的新方法以及一种客观皮肤类型分类模型。
总共收集了2173个皮脂量化样本，并将其分为4种皮肤类型。我们发现主观和客观皮肤类型之间具有良好的一致性。60.33%的检测结果一致，不一致的比例仅为0.55%。主要的不匹配是由混合性皮肤类型分类标准宽泛导致的。量化皮脂分泌将有助于轻松描述和分析皮肤状态。我们发现中国女性的皮脂水平在20至30岁之间达到峰值，40多岁后急剧下降。
这种新的皮脂定量方法与自我报告的皮肤类型高度一致。此外，它为化妆品行业提供了一个强大的工具，用于精确评估皮肤状况并据此推荐个性化产品。
