Multidimensional Profiling of Human Body Hairs Using Qualitative and Semi-Quantitative Approaches with SR-XRF, ATR-FTIR, DSC, and SEM-EDX

This study used advanced techniques (SR-XRF, ATR-FTIR, DSC, SEM-EDX) to profile various human body hairs (scalp, eyebrow, underarm, pubic, leg) from one individual, revealing significant differences in their elemental, biochemical, thermal, and cuticle properties. Factors like growth rate, follicle activity, and external influences affected these properties. Sodium, magnesium, silicon, and aluminum distributions varied across hair types, with hierarchical clustering showing distinct profiles, especially between leg and eyebrow hairs. The study's multidimensional approach offers valuable insights for forensic science, toxicology, and hair research, highlighting the need for further exploration across different demographics.