Citation: ZHAO Yuan, ZHU Yong-Kang, LU Yan-Fei, SHANG Lin-Wei, FU Juan-Juan, MA Dan-Ying, WANG Xiao, YIN Jian-Hua. Supervised Identification of Osteoarthritis at Different Stages by Hollow Optical Fiber-Attenuated Total Reflection Fourier Transform Infrared Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2019, 47(12): 1981-1986. doi: 10.19756/j.issn.0253-3820.191446
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In situ infrared spectral detection can be fast and reliably achieved by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique. In this study, home-made hollow optical fiber (HOF-) ATR-FTIR technique was combined with principal component analysis (PCA) and Fisher discriminant (FDA) algorithm to identify in situ osteoarthritis (OA) canine samples at different pathological stages (health, lesions of 8 weeks, 3 months and 7months) in vitro. The initial samples were correctly recognized with 100% accuracy. And all of the prediction groups were 100% correctly identified when an independent sample was selected from each group for prediction, respectively. In cross-validation, the recognition rate was more than 95%. This method can objectively, quantitatively and accurately identify OA samples at different stages of OA, and can be used as a diagnostic basis at different OA stages. The HOF-ATR-FTIR technique has significant application prospect in in vivo and in situ clinical diagnosis when combined with subjective OA grading results, and is expected to provide more objective and accurate OA grading and staging.
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