Abstract
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.