Kuang Xinjue, Lin Caini, Fu Yuanyuan, Wang Yuhui, Gong Junhua, Chen Yong, Liu Youting, Yi Fan
Key Laboratory of Cosmetic, China National Light Industry, Beijing Technology and Business University, Beijing, China.
Institute of Cosmetic Regulatory Science, Beijing Technology and Business University, Beijing, China.
Sci Rep. 2025 Jan 10;15(1):1633. doi: 10.1038/s41598-024-85000-z.
Oily sensitive skin is complex and requires accurate identification and personalized care. However, the current classification method relies on subjective assessment. This study aimed to classify skin type and subtype using objective biophysical parameters to investigate differences in skin characteristics across anatomical and morphological regions. This study involved 200 Chinese women aged 17-34 years. Noninvasive capture of biophysical measures and image analysis yielded 104 parameters. Key classification parameters were identified through mechanisms and characteristics, with thresholds set via statistical methods. This study identified the optimal ternary value classification method for dividing skin types into dry, neutral, and oily types based on tertiles of biophysical parameters and, further, into barrier-sensitive, neurosensitive, and inflammatory-sensitive types. Oily sensitive skin shows increased sebum, follicular orifices, redness, dullness, wrinkles, and porphyrins, along with a tendency for oiliness and early acne. Subtypes exhibited specific characteristics: barrier-sensitive skin was rough with a high pH and prone to acne; neurosensitive skin had increased TEWL (Transepidermal Water Loss) and sensitivity; and inflammatory-sensitive skin exhibited a darker tone, with low elasticity and uneven redness. This study established an objective classification system for skin types and subtypes using noninvasive parameters, clarifying the need for care for oily sensitive skin and supporting personalized skincare.
油性敏感肌肤情况复杂,需要准确识别并进行个性化护理。然而,目前的分类方法依赖主观评估。本研究旨在利用客观生物物理参数对皮肤类型和亚型进行分类,以探究不同解剖学和形态学区域皮肤特征的差异。本研究纳入了200名年龄在17至34岁之间的中国女性。通过非侵入性获取生物物理测量数据和图像分析得出了104个参数。通过机制和特征确定关键分类参数,并通过统计方法设定阈值。本研究确定了基于生物物理参数三分位数将皮肤类型分为干性、中性和油性类型,进而再分为屏障敏感型、神经敏感型和炎症敏感型的最佳三分值分类方法。油性敏感皮肤表现为皮脂分泌增加、毛囊口、泛红、暗沉、皱纹和卟啉增多,伴有油腻倾向和早期痤疮。各亚型呈现出特定特征:屏障敏感型皮肤粗糙、pH值高且易患痤疮;神经敏感型皮肤经表皮水分流失(TEWL)增加且敏感性增强;炎症敏感型皮肤色调较深,弹性低且泛红不均。本研究利用非侵入性参数建立了皮肤类型和亚型的客观分类系统,明确了油性敏感皮肤护理的必要性,并支持个性化护肤。