A selective voltammetric method for uric acid detection at beta-cyclodextrin modified electrode incorporating carbon...

Area of Science:

• Electrochemistry
• Analytical Chemistry
• Materials Science

Background:

• Accurate detection of uric acid is crucial for diagnosing various health conditions.
• Interference from ascorbic acid often complicates uric acid measurements.
• Developing selective and sensitive detection methods remains a challenge.

Purpose of the Study:

• To develop a selective and sensitive electrochemical sensor for uric acid detection.
• To overcome the interference issue caused by high concentrations of ascorbic acid.
• To demonstrate the practical application of the sensor for analyzing uric acid in human urine.

Main Methods:

• Fabrication of a beta-cyclodextrin-coated electrode modified with carbon nanotubes.
• Electrochemical analysis of uric acid in the presence of ascorbic acid.
• Utilizing the unique properties of carbon nanotubes and beta-cyclodextrin for enhanced detection.

Main Results:

• The modified electrode exhibited a significant anodic peak difference (approx. 400 mV) between uric acid and ascorbic acid.
• A linear calibration curve was achieved for uric acid concentrations ranging from 5 x 10(-7) to 5 x 10(-5) M.
• A low detection limit of 0.2 microM was obtained with a high correlation coefficient (0.998).

Conclusions:

• The developed sensor effectively overcomes ascorbic acid interference in uric acid detection.
• The beta-cyclodextrin and carbon nanotube composite electrode provides sensitive and selective uric acid quantification.
• The sensor demonstrates practical applicability for direct analysis of uric acid in untreated human urine samples.