Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 58,
  • Issue 12,
  • pp. 1439-1446
  • (2004)

Non-contact Skin Moisture Measurement Based on Near-Infrared Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Non-contact skin moisture measurement based on near-infrared (NIR) spectroscopy is proposed in the spectral range from 1300 to 2000 nm. A gap is introduced between the optical fiber probe and the skin surface in order to avoid occluding surface vapor.<i> In vitro</i> and<i> in vivo</i> experiments for measuring the water content of skin are implemented. The measured absorbance spectra are processed by multivariate analyses. Processed results are compared with the water content values obtained by a capacitance method. The correlations between the optical method and the capacitance method obtained by partial-least squares regression are higher than those obtained by multiple linear regression. In addition, a Monte Carlo simulation is implemented to evaluate measurement depths of the optical methods. It is presented that the measurement depth of the optical method depends largely on the water absorption. The simulation result also shows that the measurement depth of the optical method is much deeper than the depth of the capacitance method, especially in the spectral range where water absorption is relatively weak.

PDF Article
More Like This
Quantitative and simultaneous non-invasive measurement of skin hydration and sebum levels

Anna Ezerskaia, S. F. Pereira, H. Paul Urbach, Rieko Verhagen, and Babu Varghese
Biomed. Opt. Express 7(6) 2311-2320 (2016)

Characterizing stratum corneum structure, barrier function, and chemical content of human skin with coherent Raman scattering imaging

Sam Osseiran, Jomer Dela Cruz, Sinyoung Jeong, Hequn Wang, Christina Fthenakis, and Conor L. Evans
Biomed. Opt. Express 9(12) 6425-6443 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.