Point-of-Care Technology for Portable Testing Devices: Nanomaterials-Based Optical Biosensors for Cardiovascular Disease Biomarkers presents the latest advances in nanomaterials-based optical biosensor-enabled point-of-care testing (PoCT) devices for the rapid and accurate detection of cardiovascular disease (CVD) biomarkers. This book begins with the introduction of novel cardiovascular biomarkers and advances in point-of-care diagnostics. Subsequent chapters focus on the selection of bioreceptors and the overview of optical nanomaterials for nanobiosensors applications.
A major focus is targeted on colorimetric detection, fluorescence, chemiluminescence, Localized Surface Plasmon Resonance, and Surface-Enhanced Raman Scattering-based optical nanobiosensor signaling readout techniques, which enable the detection of CVD biomarkers. Furthermore, this book explores emerging healthcare technologies for next-generation portable PoCT devices and recent advances in nanobiosensor techniques for the rapid detection of CVD biomarkers. One dedicated chapter explores the role of artificial intelligence in enhancing point-of-care diagnostics for CVDs, while another addresses critical regulatory challenges and safety considerations in translating nanomaterial-based biosensors into clinical practice.

• Provides a comprehensive overview of novel CVD biomarkers and advances in point-of-care diagnostic platforms
• Detailed exploration of bioreceptor selection and optical nanomaterials for enhancing the selectivity and sensitivity of nanobiosensors for point-of-care diagnostics
• Explores the design and advantages of colorimetric detection, fluorescence, chemiluminescence, LSPR, and SERS-based nanobiosensors techniques, which enable rapid and portable point-of-care testing of CVD biomarkers
• Integration of artificial intelligence to improve the precision, and efficiency of CVD diagnosis at the point-of-care
• Addresses key regulatory, safety, and clinical translation challenges that bridge the gap between laboratory innovations and real-world healthcare applications