Diagnosis of Osteoarthritis at an Early Stage via Infrared Spectroscopy Combined Chemometrics in Human Serum: A Pilot Study

Methods applied for early diagnosis of osteoarthritis (OA) are limited. Early prevention and treatment can effectively reduce the pain OA patients save costs. The present study aimed to develop a rapid non-destructive detection method by evaluating infrared (IR) spectroscopy combined chemometrics. Our cohort consisted (a) 15 with (b) 10 without clinical signs disease they were used as controls. Attenuated total reflection Fourier-transform (ATR-FTIR) was investigate serum samples (50 µL) collected from these patients. A supervised classification algorithm namely discriminant analysis (DA) evaluate diagnostic accuracy spectral processing chemometrics allowed detecting biomarkers that discriminated two cohorts. About 250 spectra statistically important separating groups. Peaks at 1000 cm−1 in associated mainly C–O stretching vibration changes proteoglycan contents previously reported OA. good overall 74.47% obtained DA model. findings indicated this discriminating model, which incorporated ATR-FTIR spectrum, could provide cost-effective blood test, thus facilitating human