Open Access
25 June 2015 Raman spectroscopy of human skin: looking for a quantitative algorithm to reliably estimate human age
Giuseppe Pezzotti, Marco Boffelli, Daisuke Miyamori, Takeshi Uemura, Yoshinori Marunaka, Wenliang Zhu, Hiroshi Ikegaya
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Abstract
The possibility of examining soft tissues by Raman spectroscopy is challenged in an attempt to probe human age for the changes in biochemical composition of skin that accompany aging. We present a proof-of-concept report for explicating the biophysical links between vibrational characteristics and the specific compositional and chemical changes associated with aging. The actual existence of such links is then phenomenologically proved. In an attempt to foster the basics for a quantitative use of Raman spectroscopy in assessing aging from human skin samples, a precise spectral deconvolution is performed as a function of donors’ ages on five cadaveric samples, which emphasizes the physical significance and the morphological modifications of the Raman bands. The outputs suggest the presence of spectral markers for age identification from skin samples. Some of them appeared as authentic “biological clocks” for the apparent exactness with which they are related to age. Our spectroscopic approach yields clear compositional information of protein folding and crystallization of lipid structures, which can lead to a precise identification of age from infants to adults. Once statistically validated, these parameters might be used to link vibrational aspects at the molecular scale for practical forensic purposes.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
Giuseppe Pezzotti, Marco Boffelli, Daisuke Miyamori, Takeshi Uemura, Yoshinori Marunaka, Wenliang Zhu, and Hiroshi Ikegaya "Raman spectroscopy of human skin: looking for a quantitative algorithm to reliably estimate human age," Journal of Biomedical Optics 20(6), 065008 (25 June 2015). https://doi.org/10.1117/1.JBO.20.6.065008
Published: 25 June 2015
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Cited by 42 scholarly publications.
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KEYWORDS
Skin

Raman spectroscopy

Proteins

Collagen

Crystals

Spectroscopy

Liquids

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