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An amperometric uric acid biosensor based on modified Ir-C electrode.

Yung-Chien Luo1, Jing-Shan Do, Chung-Chiun Liu

  • 1Center of Nanoscience, Nanotechnology, Department of Chemical Engineering, Tunghai University, Taichung, Taiwan 40704, ROC.

Biosensors & Bioelectronics
|August 16, 2006
PubMed
Summary

A novel uricase/Ir-C biosensor accurately detects uric acid (UA) levels. This amperometric sensor offers high selectivity and a low detection limit, aiding in diagnosing conditions like gout and kidney failure.

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Published on: July 28, 2021

Area of Science:

  • Electrochemistry
  • Biosensors
  • Biomedical Engineering

Background:

  • Uric acid (UA) levels are critical indicators for gout, hyperuricemia, Lesch-Nyan syndrome, and kidney failure.
  • Accurate UA determination is essential for clinical diagnosis and monitoring.

Purpose of the Study:

  • To develop and characterize a novel amperometric uric acid biosensor.
  • To utilize an iridium-modified carbon (Ir-C) electrode with immobilized uricase for enhanced UA detection.

Main Methods:

  • Fabrication of an Ir-C working electrode using thick film screen printing.
  • Immobilization of uricase enzyme onto the Ir-C electrode.
  • Amperometric detection of UA using chronoamperometry (CA) at a potential of 0.25 V (vs. Ag/AgCl).

Main Results:

  • The developed biosensor demonstrated high selectivity for UA due to reduced H(2)O(2) oxidation potential on the Ir-C electrode.
  • Minimal interference was observed from ascorbic acid (AA) and other electroactive species.
  • Sensitivity of 16.60 microAmM(-1) was achieved for UA detection in the 0.1-0.8 mM range.
  • A low detection limit of 0.01 mM (S/N=6.18) was obtained under optimal conditions (pH 7 PBS, 37°C).

Conclusions:

  • The uricase/Ir-C biosensor provides a sensitive and selective platform for amperometric UA determination.
  • This biosensor shows promise for clinical applications in diagnosing UA-related disorders.
  • Optimization of pH, temperature, and enzyme loading further enhances biosensor performance.