Multivariate statistical evaluation of bone site and sex as parameters for the Fourier transform infrared spectroscopic study of normal bone
Issue title: From Molecule to Tissue: XIII European Conference on the Spectroscopy of Biological Molecules, Palermo, Italy, August 28–September 2, 2009, Part 1 of 2
Affiliations: Department of Medical Physics, Medical School, University of Ioannina, Ioannina, Greece
Note: [] Corresponding author: Nikolaos Kourkoumelis, Department of Medical Physics, Medical School, University of Ioannina, Ioannina 45110, Greece. Tel.: +3026 5100 7594; Fax: +3026 5100 7854; E-mail: [email protected].
Abstract: Fourier transform infrared spectroscopy combined with multivariate analysis was performed on a series of bone samples in order to investigate possible differences in the molecular fingerprint based on classification either between different sex and bone sites. Cortical femoral, tibia and ulna samples from five male and five female normal Wistar rats were analysed. PCA analysis classified successfully sex-related spectra since the first three principal components explained 95% of the total variance. This was not the case for bone site-related spectra. In all cases, an important aspect is the ionic exchange of phosphate and carbonate ions.
Keywords: FTIR spectroscopy, bone, multivariate analysis, PCA, classification, cortical bone
DOI: 10.3233/SPE-2010-0427
Journal: Spectroscopy, vol. 24, no. 1-2, pp. 99-104, 2010
