2019
DOI: 10.1016/j.nano.2019.04.015
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Knee osteoarthritis grading by resonant Raman and surface-enhanced Raman scattering (SERS) analysis of synovial fluid

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Cited by 20 publications
(10 citation statements)
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“…At the same time, effective protein removal techniques, including the trichloroacetic acid precipitation method, centrifugal method, and droplet deposition method, can effectively remove the influence of protein on Raman spectrum to observe HA more clearly. Bocsa et al [ 34 ] studied SF using resonance Raman technology combined with SERS. They found low carotenoid levels in advanced OA patients, and using a PCA–LDA analysis method to classify OA patients, they achieved an accuracy of 100%.…”
Section: Raman Spectroscopymentioning
confidence: 99%
See 1 more Smart Citation
“…At the same time, effective protein removal techniques, including the trichloroacetic acid precipitation method, centrifugal method, and droplet deposition method, can effectively remove the influence of protein on Raman spectrum to observe HA more clearly. Bocsa et al [ 34 ] studied SF using resonance Raman technology combined with SERS. They found low carotenoid levels in advanced OA patients, and using a PCA–LDA analysis method to classify OA patients, they achieved an accuracy of 100%.…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…As shown in Figure 1 , NIR/IR/Raman spectra of SF, articular cartilage, and/or subchondral bone were collected to compare the spectral differences between healthy and OA-affected joints. The spectra of SF indicate that the content of protein increased and the content of carotenoid decreased in OA-affected joints [ 34 ]. Furthermore, the spectra of articular cartilage characterized changes in the contents of GAG and PG, as well as the orientation of collagen fibers in joints [ 35 ].…”
Section: Introductionmentioning
confidence: 99%
“…Other authors have examined human SF derived from knee OA patients, using combined SERS and resonant Raman spectra, being able to discriminate low-from high-grade groups with a classification accuracy of 100% [55].…”
Section: Synoviummentioning
confidence: 99%
“…It has been extensively studied in the field of tissue engineering, including as a cell growth scaffold to promote bone tissue regeneration and as a transplant material for repairing peripheral nerves [6,7]. Nanomaterials can perform biological imaging through spectral and fluorescent signals to promote disease diagnosis [8]. At the same time, nanomaterials can also be used as biosensors to effectively monitor disease progression [9].…”
Section: Introductionmentioning
confidence: 99%