Prediction of compressive stiffness of articular cartilage using Fourier transform infrared spectroscopy
| Autor: | Jarno Rieppo, Lassi Rieppo, Simo Saarakkala, Jukka S. Jurvelin |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Cartilage
Articular Materials science Biomedical Engineering Biophysics Modulus 01 natural sciences 03 medical and health sciences symbols.namesake Stress Physiological Elastic Modulus Spectroscopy Fourier Transform Infrared Dynamic modulus Partial least squares regression Animals Orthopedics and Sports Medicine Fourier transform infrared spectroscopy Spectroscopy 030304 developmental biology 0303 health sciences 010401 analytical chemistry Rehabilitation Biomechanics Patella Anatomy Bovine Cartilage 0104 chemical sciences Fourier transform symbols Cattle Biomedical engineering |
| Zdroj: | Journal of Biomechanics. 46:1269-1275 |
| ISSN: | 0021-9290 |
| DOI: | 10.1016/j.jbiomech.2013.02.022 |
| Popis: | Unique biomechanical behavior of articular cartilage is a result of its structure and composition. Interrelationships of tissue constituents (collagen, proteoglycans (PGs) and water) and tissue biomechanical parameters have been studied, but it is evident that no constituent alone explains the tissue mechanics. Fourier transform infrared (FT-IR) spectra can provide detailed information about the biochemical composition of articular cartilage. In this study, a chemometric approach to predict the biomechanical behavior of articular cartilage directly from the FT-IR spectra, i.e., without converting the data into collagen and PG information, was investigated. Partial least squares regression (PLSR) was used to predict equilibrium modulus (n=32) and dynamic modulus (n=24) of bovine cartilage samples from their average FT-IR spectra. The linear correlation coefficients between the reference and predicted values of Young's modulus and dynamic modulus were r=0.866 (p |
| Databáze: | OpenAIRE |
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