Analysis of tear fluid protein fractions using surface-enhanced Raman spectroscopy (SERS), followed by a...

The present study investigates the application of surface-enhanced Raman spectroscopy (SERS) in conjunction with high-performance liquid chromatography-light-emitting diode-induced fluorescence (HPLC-LED-IF) for analyzing tear proteins in the diagnosis of ophthalmological conditions. SERS is a highly sensitive technique capable of detecting low-concentration biomolecules in body fluids, enabling the monitoring of protein composition, presence, and relative variations associated with different health conditions. In this study, SERS substrates were fabricated by immobilizing gold nanostars on APTES-functionalized surfaces, leveraging the well-known electric field enhancement at sharp plasmonic edges. Tear protein fractions (PF1 and PF2) obtained from the HPLC system were drop-coated onto these substrates for SERS measurements. Tear fluid samples from control (C), moderate dry-eye (MDE), and primary open-angle glaucoma (POAG) subjects were studied, and the recorded SERS spectra revealed distinct Raman spectral patterns for each disease category. Multivariate analysis using principal component analysis (PCA) for PF1 and PF2 from the control and disease groups explained approximately 88% of the cumulative variance, indicating a clear separation between the groups. Further, classification using K-nearest neighbours (KNN) with leave-one-out cross-validation (LOOCV) approach for PF1 and PF2 showed 85% sensitivity, 90% specificity, and 88% accuracy, suggesting that this bimodal approach (HPLC-LED-IF + SERS) has the potential to improve the classification of disease states compared to HPLC-LED-IF alone.