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Emergence of infectious diseases and role of advanced nanomaterials in point-of-care diagnostics: a review

  • Kalaimani Markandan
  • , Yong Wei Tiong
  • , Revathy Sankaran
  • , Sakthinathan Subramanian
  • , Uma Devi Markandan
  • , Vishal Chaudhary
  • , Arshid Numan
  • , Mohammad Khalid
  • , Rashmi Walvekar
  • Nanyang Technological University
  • UCSI University
  • National University of Singapore
  • University of Nottingham
  • National Taipei University of Technology
  • University of Malaya
  • University of Delhi
  • Sunway University
  • Xiamen University

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

Abstract

Infectious outbreaks are the foremost global public health concern, challenging the current healthcare system, which claims millions of lives annually. The most crucial way to control an infectious outbreak is by early detection through point-of-care (POC) diagnostics. POC diagnostics are highly advantageous owing to the prompt diagnosis, which is economical, simple and highly efficient with remote access capabilities. In particular, utilization of nanomaterials to architect POC devices has enabled highly integrated and portable (compact) devices with enhanced efficiency. As such, this review will detail the factors influencing the emergence of infectious diseases and methods for fast and accurate detection, thus elucidating the underlying factors of these infections. Furthermore, it comprehensively highlights the importance of different nanomaterials in POCs to detect nucleic acid, whole pathogens, proteins and antibody detection systems. Finally, we summarize findings reported on nanomaterials based on advanced POCs such as lab-on-chip, lab-on-disc-devices, point-of-action and hospital-on-chip. To this end, we discuss the challenges, potential solutions, prospects of integrating internet-of-things, artificial intelligence, 5G communications and data clouding to achieve intelligent POCs.

Original languageEnglish
Pages (from-to)3438-3526
Number of pages89
JournalBiotechnology and Genetic Engineering Reviews
Volume40
Issue number4
DOIs
Publication statusPublished - 2024
Externally publishedYes

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

  • artificial intelligence
  • biosensing
  • COVID
  • diagnostics
  • internet-of-things
  • nanomaterials
  • Point of care testing

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