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Differentiation of human cortical bone composition according to age and gender using Raman microscopy (Conference Presentation)
Author(s): Michel K. Nieuwoudt; M. Cather Simpson; Rayomand Shahlori; Dorit Naot; David Musson; Maureen Watson; Rhea Patel
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Paper Abstract

Bone is a complex matrix of organic and inorganic components whose composition and crystallinity depend on many factors such as age, gender, genetic make-up and health of the individual. The variation in composition can be useful as an indicator of disease: for example, osteoporitic bones present abnormally low mineral:protein and low mineral:lipid ratios as well as lower crystallinity. Raman microscopy offers a rapid method for evaluating the mineral, protein and fat composition of bone, and of selected areas within the bone, down to 2 µm. In this study of human cortical bone samples from young ( < 50 yrs) and older (> 50 yrs) males and females, we show that young males and females can be differentiated by the protein:lipid Raman band intensity ratios. The Raman band intensity ratio for mineral:protein is shown to be able to distinguish bones of different age groups: (47-53, 58-62 and 70+ yrs). The variation of microstructures within the cortical bone, visible as light/dark spots under optical microscopy, could be distinguished according to phosphate:protein and carbonate:protein rations. This ability of this technique to identify variation within bone microstructures and to classify bone samples according to age and gender from their Raman spectra provides a new tool for studies of bone disease.

Paper Details

Date Published: 7 March 2019
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Proc. SPIE 10868, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII, 108680A (7 March 2019); doi: 10.1117/12.2510968
Show Author Affiliations
Michel K. Nieuwoudt, The Univ. of Auckland (New Zealand)
M. Cather Simpson, The Univ. of Auckland (New Zealand)
Rayomand Shahlori, The Univ. of Auckland (New Zealand)
Dorit Naot, The Univ. of Auckland (New Zealand)
David Musson, The Univ. of Auckland (New Zealand)
Maureen Watson, The Univ. of Auckland (New Zealand)
Rhea Patel, The Univ. of Auckland (New Zealand)


Published in SPIE Proceedings Vol. 10868:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII
Anita Mahadevan-Jansen, Editor(s)

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