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Use of Enzymatic Biosensors to Quantify Endogenous ATP or H2O2 in the Kidney
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Use of Enzymatic Biosensors to Quantify Endogenous ATP or H2O2 in the Kidney

Published on: October 12, 2015

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Expansion of CKD diagnostics through biosensor technology: An early detection approach

Ganesh Pd Sahu1, Aniket Nandi1, Atanu Saha1

  • 1Department of Pharmaceutical Chemistry and Analysis, ISF College of Pharmacy, Moga, Punjab 142001, India.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|January 10, 2026
PubMed

Insights

Early detection of chronic kidney disease (CKD) is crucial. Biosensor techniques offer a cost-effective and precise solution for identifying renal disease early, preventing severe complications and improving patient outcomes.

Area of Science:

  • Nephrology
  • Biomedical Engineering
  • Diagnostic Technologies

Background:

  • Chronic kidney disease (CKD) is a significant global health issue with high mortality rates, often progressing undetected due to asymptomatic early stages.
  • Advanced CKD necessitates costly replacement therapies, highlighting the need for accessible diagnostic methods.
  • Current CKD diagnostic tools are often expensive and not user-friendly, creating barriers to timely diagnosis.

Purpose of the Study:

  • To systematically review advancements in CKD detection over the past decade (2015-2025).
  • To explore complications associated with CKD and compare traditional diagnostic methods with modern approaches.
  • To highlight the potential of biosensor-based techniques for early and accurate CKD diagnosis.

Main Methods:

  • Comprehensive literature review of studies published between 2015 and 2025.
  • Analysis of CKD complications, traditional diagnostic techniques, and emerging biomarkers.
  • Categorization and evaluation of various biosensor types, including electrochemical, optical, fluorescent/colorimetric, and AI-assisted biosensors.

Main Results:

  • Biosensors present a promising, cost-effective, and precise alternative for early CKD detection.
  • Recent biomarkers and advanced biosensor technologies show significant potential for improved diagnostic capabilities.
  • AI-assisted biosensors represent a cutting-edge development in enhancing diagnostic accuracy and efficiency.

Conclusions:

  • Early detection of CKD via biosensors can significantly reduce patient burden and prevent severe renal complications.
  • Biosensor technology offers a user-friendly and affordable approach to widespread CKD screening.
  • Continued research and development in biosensors are vital for combating the global impact of chronic kidney disease.

Keywords:
Artificial intelligenceBiomarkersBiosensorsChronic kidney diseaseColorimetricElectrochemicalOptical

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