Resolving the Near-Infrared Spectrum of Articular Cartilage.

articular cartilage collagen matrix component models near-infrared spectroscopy proteoglycans

Journal

Cartilage
ISSN: 1947-6043
Titre abrégé: Cartilage
Pays: United States
ID NLM: 101518378

Informations de publication

Date de publication:
12 2021
Historique:
pubmed: 14 10 2021
medline: 7 4 2022
entrez: 13 10 2021
Statut: ppublish

Résumé

Spectroscopic techniques, such as near-infrared (NIR) spectroscopy, are gaining significant research interest for characterizing connective tissues, particularly articular cartilage, because there is still a largely unmet need for rapid, accurate and objective methods for assessing tissue integrity in real-time during arthroscopic surgery. This study aims to identify the NIR spectral range that is optimal for characterizing cartilage integrity by ( The NIR spectra of cartilage matrix constituent models were measured and compared with specific molecular components of organic compounds in the NIR spectral range in order to identify their bands and molecular assignments. To verify the identified bands, spectra of the model compounds were compared with those of native cartilage. Since water obscures some bands in the NIR range, spectral measurements of the native cartilage were conducted under conditions of decreasing water content to amplify features of the solid matrix components. The identified spectral bands were then compared and examined in the resulting spectra of the intact cartilage samples. As water was progressively eliminated from cartilage, the specific contribution of the different matrix components was observed to correspond with those identified from the proxy cartilage component models. Spectral peaks in the regions 5500 to 6250 cm

Identifiants

pubmed: 34643470
doi: 10.1177/19476035211035417
pmc: PMC8808936
doi:

Substances chimiques

Proteoglycans 0
Collagen 9007-34-5

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

729S-737S

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Auteurs

Isaac O Afara (IO)

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.

Adekunle Oloyede (A)

School of Chemistry, Physics, and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.

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Classifications MeSH