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Peer-reviewedCC BYTrAC Trends in Analytical Chemistry

Electrochemical nucleic acid biosensors: Advancing blood-based diagnostics toward intelligent healthcare in resource-limited settings

  • Abdullah Al Mahmud1,2
  • Mohammad Boshir Ahmed3,4
  • Brian Abbey5,6
  • Ashad Kabir7
  • Volker Hessel3,4
  • Mohammad Ali Moni1,2
7 affiliations
  1. 1Artificial Intelligence and Cyber Security (AICF), Charles Sturt University, Orange 2800, Australia
  2. 2Rural Health Research Institute (RHRI), Charles Sturt University, Orange 2800, Australia
  3. 3ARC Centre of Excellence Plants for Space, Adelaide University, Australia
  4. 4School of Chemical Engineering, Adelaide University, Adelaide 5005, Australia
  5. 5Department of Mathematical and Physical Sciences, School of Computing, Engineering and Mathematical Science, La Trobe University, Bundoora, VIC 3086, Australia
  6. 6The Biomedical and Environmental Sensor Technology (BEST) Research Centre, Biosensors Program, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria 3086, Australia
  7. 7School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia
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Abstract

Recent innovations have broadened the potential of electrochemical nucleic acid biosensors for advanced healthcare diagnostics, including point-of-care use in resource-limited and remote environments. Traditional diagnostic platforms are often complex and expensive, making them inaccessible in remote areas. Electrochemical nucleic acid biosensors are simple, fast, affordable, portable, require minimal samples, and are highly specific, addressing these challenges. This review systematically evaluates recent developments in the design and implementation of nucleic acid biosensors, emphasizing strategies for nucleic acid immobilization, innovative dimensional probe architectures, and advanced signal amplification techniques (target-based and signal-based). Furthermore, it critically examines their real-world applications in detecting critical blood-based disease markers associated with infectious diseases, cancers, and genetic disorders. This review also outlines future perspectives and key challenges in the clinical translation of these advanced biosensors, proposing strategic pathways toward intelligent and accessible healthcare solutions for remote communities and extreme environments.

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Cite

BibTeXRIS
BibTeX
@article{mahmud2026electrochemical,
  title = {{Electrochemical nucleic acid biosensors: Advancing blood-based diagnostics toward intelligent healthcare in resource-limited settings}},
  author = {Abdullah Al Mahmud and Mohammad Boshir Ahmed and Brian Abbey and Ashad Kabir and Volker Hessel and Mohammad Ali Moni},
  journal = {TrAC Trends in Analytical Chemistry},
  year = {2026},
  month = jun,
  doi = {10.1016/j.trac.2026.118959},
  url = {https://doi.org/10.1016/j.trac.2026.118959},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Electrochemical nucleic acid biosensors: Advancing blood-based diagnostics toward intelligent healthcare in resource-limited settings
AU  - Abdullah Al Mahmud
AU  - Mohammad Boshir Ahmed
AU  - Brian Abbey
AU  - Ashad Kabir
AU  - Volker Hessel
AU  - Mohammad Ali Moni
PY  - 2026
DA  - 2026/06/06
JO  - TrAC Trends in Analytical Chemistry
DO  - 10.1016/j.trac.2026.118959
UR  - https://doi.org/10.1016/j.trac.2026.118959
AB  - Recent innovations have broadened the potential of electrochemical nucleic acid biosensors for advanced healthcare diagnostics, including point-of-care use in resource-limited and remote environments. Traditional diagnostic platforms are often complex and expensive, making them inaccessible in remote areas. Electrochemical nucleic acid biosensors are simple, fast, affordable, portable, require minimal samples, and are highly specific, addressing these challenges. This review systematically evaluates recent developments in the design and implementation of nucleic acid biosensors, emphasizing strategies for nucleic acid immobilization, innovative dimensional probe architectures, and advanced signal amplification techniques (target-based and signal-based). Furthermore, it critically examines their real-world applications in detecting critical blood-based disease markers associated with infectious diseases, cancers, and genetic disorders. This review also outlines future perspectives and key challenges in the clinical translation of these advanced biosensors, proposing strategic pathways toward intelligent and accessible healthcare solutions for remote communities and extreme environments.
SN  - 0165-9936
SN  - 0167-2940
SN  - 1879-3142
ER  -