Transmission infrared micro-spectroscopic study of individual human hair

J Biomed Opt. 2023 Nov;28(11):116501. doi: 10.1117/1.JBO.28.11.116501. Epub 2023 Nov 6.

Abstract

Significance: Understanding the optical transmission property of human hair, especially in the infrared regime, is vital in physical, clinical, and biomedical research. However, the majority of infrared spectroscopy on human hair is performed in the reflection mode, which only probes the absorptance of the surface layer.

Aim: The direct transmission spectrum of individual hair without horizontal cut offers a rapid and non-destructive test of the hair cortex but is less investigated experimentally due to the small size and strong absorption of the hair.

Approach: In this work, we conduct a transmission infrared micro-spectroscopic study on individual human hair with the help of Fourier-transform infrared microscope experimentally. Its high spatial resolution of infrared micro-spectroscopy further allows the comparison among different regions of hair. The geometry effect of the internal hair structure is also quantified using the finite-element simulation, which supports the experimental results.

Results: By utilizing direct measurements of the transmission spectrum using a Fourier-transform infrared microscope, the human hair is found to display prominent band filtering behavior. In a case study of adult-onset Still's disease, the corresponding infrared transmission exhibits systematic variations of spectral weight as the disease evolves.

Conclusions: Our work implies that the variation of spectral weight may relate to the disordered microscopic structure variation of the hair cortex during an inflammatory attack. Our work reveals the potential of hair infrared transmission spectrum in tracing the variation of hair cortex retrospectively.

Keywords: finite-element simulation; human hair; spectral weight variation; transmission infrared micro-spectroscopy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Hair* / diagnostic imaging
  • Humans
  • Microscopy*
  • Retrospective Studies
  • Spectrophotometry, Infrared
  • Spectroscopy, Fourier Transform Infrared / methods