REAL TIME DRY EYE DETECTION USING BIOSENSORS - tlooto, The Most Powerful AcademicGPT

Real-Time Dry Eye Detection Using Biosensors Background and Rationale Dry Eye Disease (DED) is a prevalent ocular disorder, often underdiagnosed due to the limitations of traditional diagnostic approaches such as Schirmer's test and tear film break-up time (TBUT), which are typically invasive, subjective, and lack real-time monitoring capability[1]. The heterogeneity and multifactorial pathogenesis of DED demand diagnostic modalities that enable objective, continuous, and non-invasive assessment of tear film status[1][2]. Recent advances in biosensor technology—including electrochemical, optical, metabolomic, and microfluidic modalities—are reshaping the diagnostic landscape of DED by offering real-time dry eye detection with improved sensitivity, specificity, and patient comfort[2][3][4]. Biosensor Modalities in Real-Time DED Detection 1. Electrochemical and Microfluidic Biosensors Electrochemical biosensors, often combined with microfluidic platforms, enable highly sensitive and quan