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26 January 2018 Shortwave-infrared Raman spectroscopic classification of water fractions in articular cartilage ex vivo
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Abstract
Water loss is an early onset indicator of osteoarthritis. Although Raman spectroscopy (RS) holds the potential for measurement of cartilage hydration, the knowledge of Raman OH-stretch bands of biological tissue is very limited. We assesed here the sensitivity of RS to identify and classify water types in the cartilage. Raman spectrum measurements over the high wavenumber range were employed to identify different water fractions in articular cartilage. Raman spectra were collected from wet and sequentially dehydrated cartilage along with pure collagen type II and chondroitin sulfate standards. OH-stretch band of cartilage is dominated by mobile water, up to 95% of total intensities. We identified six peaks in cartilage spectrum using second-derivative analysis: peaks at 3200 and 3650  cm−1 are associated with organic matrix (both collagen and proteglycan) and matrix-bound water molecules. Peaks at 3250, 3453, and 3630  cm−1 are associated with collagen and collagen-related water molecules, whereas the peak at 3520  cm−1 is associated with proteoglycan (PG) and PG-related water molecules. The current work is the first thorough analysis of the Raman OH-stretch band of the cartilage and with the knowledge generated by this study, it may now be possible to study on cartilage hydration by RS.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2018/$25.00 © 2018 SPIE
Mustafa Unal and Ozan Akkus "Shortwave-infrared Raman spectroscopic classification of water fractions in articular cartilage ex vivo," Journal of Biomedical Optics 23(1), 015008 (26 January 2018). https://doi.org/10.1117/1.JBO.23.1.015008
Received: 26 October 2017; Accepted: 4 January 2018; Published: 26 January 2018
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Cartilage

Raman spectroscopy

Collagen

Molecules

Hydrogen

Spectroscopy

Remote sensing

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