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1 - Diabetes, glucose sensing, requirements, challenges, and techniques

  • Sudershan Dutt
  • , Nikhil Thakur
  • , Pawan Kumar
  • , Abhishek Kandwal*
  • , Pankaj Sharma
  • , Sarvendra Kumar
  • , Arjun Kumar
  • *Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

Abstract

The growing global burden of diabetes not only underscores the urgency for effective disease management but also highlights the limitations of conventional diagnostic and monitoring practices. As the number of individuals affected by diabetes continues to rise, especially in low- and middle-income countries, the demand for continuous, accurate, and user-friendly glucose monitoring tools has become more pressing than ever. Traditional glucose sensing techniques, while clinically established, often involve discomfort, risk of infection, and require patient compliance that can be difficult to sustain over long periods. Consequently, the development of alternative technologies that can provide real-time, painless, and convenient glucose monitoring is gaining significant momentum. This chapter explores the current landscape of glucose sensing technologies, examining the scientific principles, practical implementations, and technological advancements across three main categories: invasive, minimally invasive, and noninvasive methods. Through this comprehensive overview, the chapter aims to provide insights into the evolving strategies for glucose monitoring and their potential to revolutionize diabetes care.
Original languageEnglish
Title of host publicationEmerging Diagnostic Glucose Sensing Approaches
EditorsAbhishek Kandwal, Nie Zedong, Rohit Jasrotia
PublisherElsevier
Pages1-27
Number of pages27
ISBN (Print)978-0-443-36348-1
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Continuous glucose monitoring
  • Diabetes monitoring
  • Glucose sensing
  • Invasive techniques
  • Noninvasive sensors
  • Optical spectroscopy

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