Wearable MOF biosensors: A new frontier in real-time health monitoring

Abstract

The development of wearable biosensors has revolutionized real-time health monitoring, enabling continuous and personalized insights into physiological states. Metal-organic frameworks (MOFs), with their unique properties including high surface area, tunability, and molecular selectivity, have emerged as promising materials for enhancing the sensitivity and specificity of wearable biosensors. This review explores recent advances in MOF-based wearable biosensors, highlighting their role in detecting key biomarkers for a range of health applications. This review discusses how MOFs improve analyte binding, signal transduction, and stability in physiological conditions, as well as the integration of these sensors with artificial intelligence (AI) and machine learning (ML) algorithms to enhance data processing and predictive analysis. Despite challenges such as ensuring biocompatibility, long-term stability, and scalability, wearable MOF biosensors represent a new frontier in personalized healthcare. Their potential to monitor multiple biomarkers simultaneously and provide continuous, accurate health assessments paves the way for future innovations in telemedicine and remote patient monitoring, ultimately contributing to improved healthcare outcomes and proactive disease management.