Knee osteoarthritis grading by resonant Raman and surface-enhanced Raman scattering (SERS) analysis of synovial fluid.
Nanomedicine
; 20: 102012, 2019 08.
Article
em En
| MEDLINE
| ID: mdl-31085345
ABSTRACT
In this preliminary study on synovial fluid (SF), knee osteoarthritis (OA) grading of nâ¯=â¯23 patients was accomplished by combining two methods:
resonant Raman spectroscopy, and surface-enhanced Raman scattering (SERS) of native proteins acquired with iodide-modified silver nanoparticles and a laser emitting at 633â¯nm. Based on principal component analysis-linear discriminant analysis (PCA-LDA), the SERS spectra of proteins enabled the classification of low-grade and high-grade OA groups with an accuracy of 91%. Resonant Raman spectra of SF, recorded with laser excitation at 532â¯nm, exhibited carotenoid-associated bands that were less intense in the case of high-grade knee OA patients. Based on the resonant Raman spectra, the grading of OA patients was accomplished with an accuracy of 74%. Concatenating SERS and Raman spectral information increased the classification accuracy between the two groups to 100%. These results demonstrate the potential of Raman and SERS as a point-of-care method for aiding OA grading.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise Espectral Raman
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Líquido Sinovial
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Osteoartrite do Joelho
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article