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  • 1
    In: NMR in Biomedicine, Wiley, Vol. 24, No. 10 ( 2011-12), p. 1286-1294
    Type of Medium: Online Resource
    ISSN: 0952-3480
    Language: English
    Publisher: Wiley
    Publication Date: 2011
    detail.hit.zdb_id: 2002003-X
    detail.hit.zdb_id: 1000976-0
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  • 2
    In: NMR in Biomedicine, Wiley, Vol. 25, No. 3 ( 2012-03), p. 476-488
    Abstract: Noninvasive monitoring of tissue quality would be of substantial use in the development of cartilage tissue engineering strategies. Conventional MR parameters provide noninvasive measures of biophysical tissue properties and are sensitive to changes in matrix development, but do not clearly distinguish between groups with different levels of matrix development. Furthermore, MR outcomes are nonspecific, with particular changes in matrix components resulting in changes in multiple MR parameters. To address these limitations, we present two new approaches for the evaluation of tissue engineered constructs using MR, and apply them to immature and mature engineered cartilage after 1 and 5 weeks of development, respectively. First, we applied multiexponential T 2 analysis for the quantification of matrix macromolecule‐associated water compartments. Second, we applied multivariate support vector machine analysis using multiple MR parameters to improve detection of degree of matrix development. Monoexponential T 2 values decreased with maturation, but without further specificity. Much more specific information was provided by multiexponential analysis. The T 2 distribution in both immature and mature constructs was qualitatively comparable to that of native cartilage. The analysis showed that proteoglycan‐bound water increased significantly during maturation, from a fraction of 0.05 ± 0.01 to 0.07 ± 0.01. Classification of samples based on individual MR parameters, T 1 , T 2 , k m or apparent diffusion coefficient, showed that the best classifiers were T 1 and k m , with classification accuracies of 85% and 84%, respectively. Support vector machine analysis improved the accuracy to 98% using the combination ( k m , apparent diffusion coefficient). These approaches were validated using biochemical and Fourier transform infrared imaging spectroscopic analyses, which showed increased proteoglycan and collagen with maturation. In summary, multiexponential T 2 and multivariate support vector machine analyses provide improved sensitivity to changes in matrix development and specificity to matrix composition in tissue engineered cartilage. These approaches show substantial potential for the evaluation of engineered cartilage tissue and for extension to other tissue engineering constructs. Copyright © 2012 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 0952-3480 , 1099-1492
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2002003-X
    detail.hit.zdb_id: 1000976-0
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  • 3
    In: Analytical and Bioanalytical Chemistry, Springer Science and Business Media LLC, Vol. 387, No. 5 ( 2007-2-19), p. 1601-1612
    Type of Medium: Online Resource
    ISSN: 1618-2642 , 1618-2650
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2007
    detail.hit.zdb_id: 1459122-4
    detail.hit.zdb_id: 2071767-2
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2016
    In:  Journal of Bone and Mineral Research Vol. 31, No. 11 ( 2016-11), p. 2065-2065
    In: Journal of Bone and Mineral Research, Wiley, Vol. 31, No. 11 ( 2016-11), p. 2065-2065
    Type of Medium: Online Resource
    ISSN: 0884-0431 , 1523-4681
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 2008867-X
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  • 5
    In: Journal of Bone and Mineral Research, Wiley, Vol. 29, No. 12 ( 2014-12), p. 2643-2652
    Abstract: Soft tissue‐to‐bone transitions, such as the osteochondral interface, are complex junctions that connect multiple tissue types and are critical for musculoskeletal function. The osteochondral interface enables pressurization of articular cartilage, facilitates load transfer between cartilage and bone, and serves as a barrier between these two distinct tissues. Presently, there is a lack of quantitative understanding of the matrix and mineral distribution across this multitissue transition. Moreover, age‐related changes at the interface with the onset of skeletal maturity are also not well understood. Therefore, the objective of this study is to characterize the cartilage‐to‐bone transition as a function of age, using Fourier transform infrared spectroscopic imaging (FTIR‐I) analysis to map region‐dependent changes in collagen, proteoglycan, and mineral distribution, as well as collagen organization. Both tissue‐dependent and age‐related changes were observed, underscoring the role of postnatal physiological loading in matrix remodeling. It was observed that the relative collagen content increased continuously from cartilage to bone, whereas proteoglycan peaked within the deep zone of cartilage. With age, collagen content across the interface increased, accompanied by a higher degree of collagen alignment in both the surface and deep zone cartilage. Interestingly, regardless of age, mineral content increased exponentially across the calcified cartilage interface. These observations reveal new insights into both region‐ and age‐dependent changes across the cartilage‐to‐bone junction and will serve as critical benchmark parameters for current efforts in integrative cartilage repair. © 2014 American Society for Bone and Mineral Research.
    Type of Medium: Online Resource
    ISSN: 0884-0431 , 1523-4681
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2008867-X
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2017
    In:  Journal of Bone and Mineral Research Vol. 32, No. 8 ( 2017-08), p. 1597-1598
    In: Journal of Bone and Mineral Research, Wiley, Vol. 32, No. 8 ( 2017-08), p. 1597-1598
    Type of Medium: Online Resource
    ISSN: 0884-0431 , 1523-4681
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2008867-X
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  • 7
    In: Applied Spectroscopy, SAGE Publications, Vol. 72, No. 11 ( 2018-11), p. 1581-1593
    Abstract: Bone mineral crystallinity is an important factor determining bone quality and strength. The gold standard method to quantify crystallinity is X-ray diffraction (XRD), but vibrational spectroscopic methods present powerful alternatives to evaluate a greater variety of sample types. We describe original approaches by which transmission Fourier transform infrared (FT-IR), attenuated total reflection (ATR) FT-IR, and Raman spectroscopy can be confidently used to quantify bone mineral crystallinity. We analyzed a range of biological and synthetic apatite nanocrystals (10–25 nm) and found strong correlations between different spectral factors and the XRD determination of crystallinity. We highlight striking differences between FT-IR spectra obtained by transmission and ATR. In particular, we show for the first time the absence of the 1030 cm −1 crystalline apatite peak in ATR FT-IR spectra, which excludes its use for analyzing crystallinity using the traditional 1030/1020 cm −1 ratio. The ν 4 PO 4 splitting ratio was also not adequate to evaluate crystallinity using ATR FT-IR. However, we established original approaches by which ATR FT-IR can be used to determine apatite crystallinity, such as the 1095/1115 and 960/1115 cm −1 peak ratios in the second derivative spectra. Moreover, we found a simple unified approach that can be applied for all three vibrational spectroscopy modalities: evaluation of the ν 1 PO 4 peak position. Our results allow the recommendation of the most reliable analytical methods to estimate bone mineral crystallinity by vibrational spectroscopy, which can be readily implemented in many biomineralization, archeological and orthopedic studies. In particular, we present a step forward in advancing the use of the increasingly utilized ATR FT-IR modality for mineral research.
    Type of Medium: Online Resource
    ISSN: 0003-7028 , 1943-3530
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 1474251-2
    SSG: 11
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2014
    In:  Applied Spectroscopy Vol. 68, No. 10 ( 2014-10), p. 1168-1175
    In: Applied Spectroscopy, SAGE Publications, Vol. 68, No. 10 ( 2014-10), p. 1168-1175
    Abstract: Near-infrared (NIR) spectroscopy has been used to assess hyaline cartilage quality in human and animal osteochondral tissues. However, due to the lack of NIR signal from bone phosphate and the relatively deep penetration depth of the radiation, the separate contributions of cartilage and bone to the spectral signatures have not been well defined. The objectives of the current study were (1) to improve the understanding of the contributions of bone and cartilage to NIR spectra acquired from osteochondral tissue and (2) to assess the ability of this nondestructive method to predict cartilage thickness and modified Mankin grade of human tibial plateau articular cartilage. Near-infrared spectra were acquired from samples of bovine bone and cartilage with varying thicknesses and from 22 tibial plateaus harvested from patients undergoing knee replacement surgery. The spectra were recorded from regions of the tibial plateaus with varying degrees of degradation, and the cartilage thickness and modified Mankin grade of these regions were assessed histologically. The spectra from bone and cartilage samples of known thicknesses were investigated to identify spectral regions that were distinct for these two tissues. Univariate and multivariate linear regression methods were used to correlate modified Mankin grade and cartilage thickness with NIR spectral changes. The ratio of the NIR absorbances associated with water at 5270 and 7085 cm −1 was the best differentiator of cartilage and bone spectra. The NIR prediction models for thickness and Mankin grade calculated using partial least squares regression were more accurate than were univariate-based prediction models, with a root mean square errors of cross-validation of 0.42 mm (for thickness) and 1.3 (for modified Mankin grade). We conclude that NIR spectroscopy may be used to simultaneously assess articular cartilage thickness and modified Mankin grade, based in part on differences in spectral contributions from bone and cartilage.
    Type of Medium: Online Resource
    ISSN: 0003-7028 , 1943-3530
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 1474251-2
    SSG: 11
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  • 9
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Applied Spectroscopy Vol. 72, No. 10 ( 2018-10), p. 1455-1466
    In: Applied Spectroscopy, SAGE Publications, Vol. 72, No. 10 ( 2018-10), p. 1455-1466
    Abstract: Methacrylated hyaluronic acid (MeHA) has been used extensively in tissue engineering and drug delivery applications. The degree of methacrylation (DM) of HA impacts hydrogel crosslinking, which is of pivotal importance for cell interactions. The methacrylation reaction occurs over several hours, and DM is currently assessed post reaction and after dialysis of the solution, using nuclear magnetic resonance ( 1 H NMR) data. Thus, there is little control over exact DM in a specific reaction. Here, infrared (IR) spectroscopy in attenuated total reflection (ATR) mode was investigated as an alternate modality for assessment of the DM of HA hydrogels, including during the reaction progression. Attenuated total reflection is a low-cost technique that is widely available in research and industry labs that can be used online during the reaction process. Strong correlations were achieved with IR-derived peak heights from dialyzed and lyophilized samples at 1708 cm −1 (from the methacrylic ester carbonyl vibration), and 1 H NMR values ( R = 0.92, P = 6.56E-11). Additional IR peaks of importance were identified using principal component analysis and resulted in significant correlations with the 1 H NMR DM parameter: 1454 cm −1 ( R = 0.85, P = 2.81E-8), 1300 cm −1 ( R = 0.95, P = 4.50E-14), 950 ( R = 0.85, P = 3.55E-8), 856 cm −1 ( R = 0.94, P = 1.20E-12), and 809 cm −1 ( R = 0.93, P = 3.54E-12). A multiple linear regression model to predict 1 H NMR-derived DM using the 1708, 1300, and 1200 cm −1 peak heights as independent variables resulted in prediction with an error of 3.2% using dialyzed and lyophilized samples ( P  〈  0.001). Additionally, a multilinear regression model to predict the DM in undialyzed liquid MeHA samples obtained during the reaction process using similar peak height positions as independent variables resulted in a prediction error of 0.81% ( P  〈  0.05). Thus, IR spectroscopy can be utilized as an alternate modality to 1 H NMR for quantification of the DM of MeHA while sampling either on-line during the methacrylation reaction as well as in post-lyophilized products. This could greatly simplify workflow for tissue engineering and other applications.
    Type of Medium: Online Resource
    ISSN: 0003-7028 , 1943-3530
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 1474251-2
    SSG: 11
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  • 10
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2015
    In:  Clinical Orthopaedics & Related Research Vol. 473, No. 8 ( 2015-08), p. 2587-2598
    In: Clinical Orthopaedics & Related Research, Ovid Technologies (Wolters Kluwer Health), Vol. 473, No. 8 ( 2015-08), p. 2587-2598
    Type of Medium: Online Resource
    ISSN: 0009-921X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2015
    detail.hit.zdb_id: 2018318-5
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