Load-unloading response of intact and artificially degraded articular cartilage correlated with near infrared (NIR) absorption spectra

Load-unloading response of intact and artificially degraded articular cartilage correlated with near infrared (NIR) absorption spectra
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DOI:
10.1016/j.jmbbm.2012.11.022
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发表时间:
2013-04-01
影响因子:
3.9
通讯作者:
Oloyede, A.
Oloyede, A.
中科院分区:
工程技术2区
文献类型:
--
作者:
Afara, I. O.;Singh, S.;Oloyede, A.

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关节软骨的常规机械性能,如压缩刚度,已被证明在区分完整(视觉正常)和退化软骨样品的能力方面受到限制。在本文中,我们探讨了一个新的力学参数,即从一个给定的压缩载荷卸载后关节软骨的再膨胀,和近红外(NIR)光谱之间的相关性。首先建立了相对于“再溶胀”特征区分机械完整的蛋白聚糖耗尽组织的能力,随后将结果与相应组织样品的NIR光谱数据相关联。为了实现这一点,正常的完整和酶降解的样品进行NIR探测和机械压缩的基础上加载-卸载-再溶胀协议。对于不同的样品类型,获得了参数δ(r),其特征在于在卸载到恒定的小载荷后基质的渗透“再溶胀”,该恒定的小载荷的顺序为软骨的渗透压。多元统计,以确定或相关样品的近红外吸收光谱之间的相关程度,使用偏最小二乘法(PLS)回归。结果表明,相关性很强(R-2= 95.89%,p
The conventional mechanical properties of articular cartilage, such as compressive stiffness, have been demonstrated to be limited in their capacity to distinguish intact (visually normal) from degraded cartilage samples. In this paper, we explore the correlation between a new mechanical parameter, namely the reswelling of articular cartilage following unloading from a given compressive load, and the near infrared (NIR) spectrum. The capacity to distinguish mechanically intact from proteoglycan-depleted tissue relative to the "reswelling" characteristic was first established, and the result was subsequently correlated with the NIR spectral data of the respective tissue samples. To achieve this, normal intact and enzymatically degraded samples were subjected to both NIR probing and mechanical compression based on a load-unload-reswelling protocol. The parameter delta(r), characteristic of the osmotic "reswelling" of the matrix after unloading to a constant small load in the order of the osmotic pressure of cartilage, was obtained for the different sample types. Multivariate statistics was employed to determine the degree of correlation between or and the NIR absorption spectrum of relevant specimens using Partial Least Squared (PLS) regression. The results show a strong relationship (R-2=95.89%, p