A QCM-Based Device for Neurodegenerative Diseases Detection in Human Perspiration

This paper explores the utilization of Quartz Crystal Microbalances (QCMs) in biomedical applications, specifically focusing on the development of a QCM-based biosensor capable of quantifying important biomarkers for neurodegenerative diseases in human perspiration. A modified QCM system, incorporating an electronic oscillator to measure both resonance frequency and quality factor QCM-R, is implemented through a mixed-signal architecture. The proposed stand-alone biomedical measurement device combines an analog front-end with a digital architecture on an FPGA to characterize the QCM-based biosensor. The biosensor is functionalized with Solid Lipid Nanoparticles and immobilized antibodies, enabling the selective detection of neurodegenerative targets-induced mass changes in real-time. This research addresses the critical need for biosensing technologies in health monitoring, with a particular emphasis on potential applications in neurodegenerative disease identification. The sensitivity and label-free detection capabilities of QCM biosensors offer promising insights for advancing clinical diagnostics, disease management, and personalized medicine, ultimately enhancing patient care and healthcare outcomes.