Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy
Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy
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DOI：
10.1016/j.aca.2016.04.031
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发表时间：
2016-07-05
影响因子：
6.2
通讯作者：
Pleshko, Nancy
中科院分区：
文献类型：
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作者：
Palukuru, Uday P.;Hanifi, Arash;Pleshko, Nancy
关节软骨的疾病或损伤导致细胞外基质成分的损失，这可导致骨关节炎（OA）的发展。为了更好地了解疾病发展的过程，需要在不需要大量样品制备的情况下评估软骨组成的变化。近红外（NIR）光谱是一种基于分子振动的化学研究技术，越来越多地用作研究软骨成分的评估工具。然而，在软骨的NIR光谱中，由中红外（MIR）光谱区域中的主荧光的泛音和组合引起的吸收带的特定分子振动的分配一直具有挑战性。相比之下，软骨的MIR光谱评估是完善的，许多研究验证了MIR光谱中存在的特定谱带与特定分子振动的分配。在目前的研究中，获得了近红外成像光谱数据的组成分析的组织，作为一个体外模型的OA。从相同的组织区域获得的MIR光谱数据被用作胶原蛋白和蛋白聚糖（PG）含量的金标准。透射模式下的MIR光谱通常需要通过样品的短得多的路径长度（
Disease or injury to articular cartilage results in loss of extracellular matrix components which can lead to the development of osteoarthritis (OA). To better understand the process of disease development, there is a need for evaluation of changes in cartilage composition without the requirement of extensive sample preparation. Near infrared (NIR) spectroscopy is a chemical investigative technique based on molecular vibrations that is increasingly used as an assessment tool for studying cartilage composition. However, the assignment of specific molecular vibrations to absorbance bands in the NIR spectrum of cartilage, which arise from overtones and combinations of primary absorbances in the mid infrared (MIR) spectral region, has been challenging. In contrast, MIR spectroscopic assessment of cartilage is well-established, with many studies validating the assignment of specific bands present in MIR spectra to specific molecular vibrations. In the current study, NIR imaging spectroscopic data were obtained for compositional analysis of tissues that served as an in vitro model of OA. MIR spectroscopic data obtained from the identical tissue regions were used as the gold-standard for collagen and proteoglycan (PG) content. MIR spectroscopy in transmittance mode typically requires a much shorter pathlength through the sample (