Advances in Virus Detection with Sensors
Series: Detection Science Series;
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Product details:
- Edition number 1
- Publisher RSC
- Date of Publication 24 June 2026
- ISBN 9781837677764
- Binding Hardback
- No. of pages444 pages
- Size 234x156 mm
- Language English 700
Categories
Short description:
This volume presents a comprehensive and multidisciplinary overview of the current state and future directions of sensor-based virus detection technologies.
MoreLong description:
The 21st century has seen the rise and resurgence of viral threats that have reshaped global health, economies, and daily life. From seasonal influenza to unprecedented pandemics like COVID-19, the urgency for rapid, accurate, and scalable virus detection has never been greater. Sensor technologies have emerged as vital tools in this landscape, enabling early diagnosis, environmental monitoring, and real-time health surveillance.
This book offers a comprehensive, multidisciplinary exploration of sensor-based virus detection technologies. It brings together leading voices from academia and industry to cover a wide range of topics from foundational detection principles to cutting-edge innovations like CRISPR-based biosensors, wearable diagnostics and AI-powered data analysis.
Designed for researchers, engineers, clinicians, and policymakers, this volume provides both a deep dive into current technologies and a forward-looking perspective on the future of virus detection. It is an essential resource for anyone engaged in the science and strategy of global health preparedness.
MoreTable of 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