RSC Advances · 9 authors, 4 centres
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This study developed an LED-based HPLC fluorescence detection system for protein profiling of tear fluid and used PCA, match/no-match, and ANN classification to distinguish moderate dry eye from control subjects, achieving up to 91.6% sensitivity and 93.9% specificity.
The study developed a lab-assembled LED-based HPLC system with UV-induced fluorescence detection for protein profiling of human tear fluid to diagnose dry eye syndrome. The match/no-match test yielded 94.4% sensitivity and 87.8% specificity, while ANN with leave-one-out cross-validation achieved 91.6% sensitivity, 93.9% specificity, and 91.3% accuracy.
