Journal of Hard Tissue Biology
Online ISSN : 1880-828X
Print ISSN : 1341-7649
ISSN-L : 1341-7649
Original
Analysis of Demineralized Mammalian Bone Tissue by Fourier Transform Infrared Microscopy
Satoru YamaguchiKaoru YamamotoHidetsugu Tsujigiwa
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2018 Volume 27 Issue 1 Pages 59-64

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Abstract

The amounts and properties of cartilage matrix components such as collagen and proteoglycans change in joint and bone related diseases, and spectroscopic studies of these components are important for developing new diagnostic and therapeutic methods. Infrared spectroscopy provides information on chromophores and vibrations related to characteristic molecules present in cells and tissues. In addition, infrared spectroscopy is a non-invasive and useful spectroscopy based analytical technique that does not use antibody labeling. In this study, we used decalcified unstained specimens of canine mandibular bone and rat and rabbit tibia. The specimens were subjected to microscopic infrared spectroscopy, and analyzed by determining the infrared spectrum, with a focus on fiber proteins (collagen) and carbohydrates (proteoglycans) present in the specimens. Normally, a large signal originating from the PO stretching mode of phosphate (PO43- ) is observed during measurements of the infrared absorption spectrum of bone sections; however, the above mentioned signal was not observed in our study as the samples used in our study were decalcified. Instead, we observed signals from proteoglycans that are usually masked by signals originating from PO stretching and are difficult to observe. Measurements were performed on the same types of bone sections, and the results showed that the infrared spectrum varied greatly depending on the portion subjected to the measurements. However, in contrast, the results of the measurements conducted on the cartilage regions of rat and rabbit tibia coincided in terms of the amide I, amide II, and amide III bands, as well as the signal intensity ratio of the proteoglycan signal. Our findings indicated that infrared spectrum patterns allowed the identification of cartilaginous tissues in bone sections. By using this characteristic signal as a marker and carrying out two dimensional mapping on the cartilage part, for example, it is suggested that it can be applied to analysis of collagen distribution in demineralized fossil samples.

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© 2018 by The Hard Tissue Biology Network Association(JHTBNet)
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