Advances in Virus Detection with Sensors

Adil Denizli, Hacettepe University, Turkey

Published by Royal Society of Chemistry, 2026, 476 pp.

ISBN:

HB 9781837677764
EPUB 9781837677788
PDF 9781837677771

Synopsis

In an era marked by recurring viral outbreaks and global pandemics, the demand for rapid, accurate and scalable virus detection has never been more critical. This book explores the pivotal role of sensor technologies in addressing this challenge, offering a multidisciplinary overview of current methods and future innovations. From traditional detection techniques to breakthroughs like CRISPR-based biosensors, wearable diagnostics and Al-driven analysis, it brings together insights from leading experts across academia and industry. Designed for researchers, engineers, clinicians and policymakers, this volume is a vital resource for advancing the science and strategy of virus detection.

Key Features and Highlights

Bridges the gap between engineering, biology and data science, offering a shared view of sensor-based virus detection technologies from foundational principles to the latest innovations.
Explores the forefront of virus detection with in-depth discussions on CRISPR-based biosensors, wearable diagnostics and Al-driven analytics, all contextualized with real-world examples for public health and clinical use.
Authored by experts from academia and industry, this book is an essential resource for researchers, clinicians, engineers and policymakers seeking to understand and shape the future of global health surveillance.

Brief Contents

Introduction to Sensor-based Virus Detection Studies
Overview of Existing Sensor Technologies for Virus Detection
Optical Sensors
Electrochemical Sensors
Mass Sensors
Comparative Analysis of Different Sensor Types
Advances in CRISPR-Based Biosensors for Virus Disease Detection: Across Viral
Families
Quantum Dot Sensors
Wearable and Portable Sensors
Artificial Intelligence and Machine Learning in Sensor-based Virus Detection
Introduction to Computational Studies in Virus Detection
Point of Care Diagnostic for Virus Detection
Remote Patient Monitoring
Screening and Early Detection
Environmental Monitoring
Sensor Technologies for Virus Detection: Challenges and Perspectives
Case Studies in Virus Detection Using Sensor Technologies
Future Directions and Opportunities
Summary of Insights and Conclusions