Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Dec;13(1_suppl):729S-737S.
doi: 10.1177/19476035211035417. Epub 2021 Oct 13.

Resolving the Near-Infrared Spectrum of Articular Cartilage

Affiliations

Resolving the Near-Infrared Spectrum of Articular Cartilage

Isaac O Afara et al. Cartilage. 2021 Dec.

Abstract

Objective: 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 (a) identifying the contribution of its major constituents (collagen and proteoglycans) to its overall spectrum using proxy constituent models and (b) determining constituent-specific spectral contributions that can be used for assessment of cartilage in its physiological state.

Design: 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.

Results: 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.

Conclusion: Spectral peaks in the regions 5500 to 6250 cm-1 and 8100 to 8600 cm-1 were identified to be effective for characterizing cartilage proteoglycan and collagen contents, respectively.

Keywords: articular cartilage; collagen; matrix component models; near-infrared spectroscopy; proteoglycans.

PubMed Disclaimer

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Typical near-infrared (NIR) absorbance spectra of cartilage matrix models (proteoglycan [PG] and collagen [COL]) showing distinct spectral peaks associated with the matrix components. The highlighted sections show regions that are useful for evaluation of articular cartilage in its physiological state. The specific band assignment of each peak identified is defined in Table 1 .
Figure 2.
Figure 2.
Near infrared spectra of proteoglycan (PG) model gels at varying mass concentrations in saline.
Figure 3.
Figure 3.
Near-infrared (NIR) spectra of proteoglycan (PG) and collagen (COL) models, with their mixtures at 83.3%, 80%, 75%, 66.7%, and 50% concentrations, respectively, in the direction of the arrow.
Figure 4.
Figure 4.
Typical near-infrared (NIR) spectrum of articular cartilage showing the absorption spectrum and raw sample spectrum (inset).
Figure 5.
Figure 5.
Principal component analysis of the spectra of native articular cartilage (AC) and its matrix component models in dry (COL, PG, and MIX = PG + COL) and different concentrations of wet (PG and MIX) states. (A) Plot of the first 2 principal component (PC) scores (AC = blue, dry = black markers, different concentrations of wet PG = red markers, and MIX = green markers), (B) the second and third principal component scores, and their corresponding loadings (C). Variance explained by PC1, PC2, and PC3 are 97%, 1.7%, and 0.7%, respectively. Shaded spectral regions show areas that are useful for evaluation of articular cartilage in its physiological state. COL, collagen; PG, proteoglycan.
Figure 6.
Figure 6.
(A) Unprocessed near-infrared (NIR) spectra of articular cartilage showing systematic decrease in baseline as matrix free water is gradually removed by drying at room temperature for 16 hours (blue = 0-4 hours; red = 4-8 hours; green = 8-12 hours; black = 12-16 hours). (B) Baseline-corrected spectra show slight resolution of peaks (inset), specifically between 5500 and 6 250 cm−1.
Figure 7.
Figure 7.
Spectra of articular cartilage showing changes in spectral peaks as bound water is gradually dissociated from the solid matrix components using ethanol. Inset plots show the most noticeable peak spectral changes. Blue = first 15 minutes of treatment; red = next 2 hours of treatment; pink = next 12 hours of treatment. Note: For clarity, not all spectra are displayed.

References

    1. Buckwalter JA, Mankin HJ. Articular cartilage, part II: degeneration and osteoarthritis, repair, regeneration, and transplantation. J Bone Joint Surg. 1997;79-A:612-33. - PubMed
    1. Hunziker EB. Articular cartilage repair: basic science and clinical progress. A review of the current status and prospects. Osteoarthritis Cartilage. 2002;10:432-63. - PubMed
    1. Afara I, Prasadam I, Crawford R, Xiao Y, Oloyede A. Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score. Osteoarthritis Cartilage. 2012;20:1367-73. - PubMed
    1. Afara IO, Prasadam I, Moody H, Crawford R, Xiao Y, Oloyede A. Near infrared spectroscopy for rapid determination of Mankin score components: a potential tool for quantitative characterization of articular cartilage at surgery. Arthroscopy. 2014;30:1146-55. - PubMed
    1. Spahn G, Plettenberg H, Nagel H, Kahl E, Klinger HM, Mückley T, et al.. Evaluation of cartilage defects with near-infrared spectroscopy (NIR): an ex vivo study. Med Eng Phys. 2008;30:285-92. - PubMed

Publication types

MeSH terms