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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 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
Early online date15 Oct 2022
DOIs
Publication statusPublished - 2024

Funding

The authors thank Sunway University for research funding through the International Research Network Grant Scheme, 2022 (STR-IRNGS-SET-GAMRG-01-2022) and Individual Research Grant, 2021 (GRTIN-IRG-03-2021).

Keywords

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

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