ArticleCartilage2021
Resolving the Near-Infrared Spectrum of Articular Cartilage.
Article in Cartilage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Visible and near-infrared spectroscopic method for correlative joint tissue analysis and visual and histologic grading.MethodsX · 2026Article
- Evaluation method for proteoglycans using near-infrared spectroscopy.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Article
- Harnessing Raman spectroscopy and multimodal imaging of cartilage for osteoarthritis diagnosis.Scientific reports · 2024Article
- Holistic vibrational spectromics assessment of human cartilage for osteoarthritis diagnosis.Biomedical optics express · 2024Article
- Application of diffuse optical back reflection spectroscopy for determining articular cartilage thickness in a clinical setting.International orthopaedics · 2023Article
- Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage.Annals of biomedical engineering · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveSpectroscopic 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 (
designThe 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.
resultsAs 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.
conclusionSpectral peaks in the regions 5500 to 6250 cm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.