Advances in Virus Detection with Sensors

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Advances in Virus Detection with Sensors

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  • 製本 Hardcover:ハードカバー版/ページ数 476 p.
  • 言語 ENG
  • 商品コード 9781837677764

Full 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.

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

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