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Related Experiment Video

Updated: Mar 29, 2026

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Published on: October 3, 2020

Liquid-Gated Field-Effect Transistor-Based Biosensor for Uric Acid Detection.

Rafiq Ahmad¹, Abdullah², Altaf Khan³

¹New-Senior' Oriented Smart Health Care Education Center, Pukyong National University, Busan 48513, Republic of Korea.

|March 27, 2026

Summary

This summary is machine-generated.

This study presents a novel field-effect transistor (FET) biosensor for monitoring uric acid (UA) levels. The innovative vertical zinc oxide nanorod design significantly enhances UA detection sensitivity and accuracy.

Keywords:

ZnO nanorods biosensor field-effect-transistor serum sample uric acid

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Published on: August 29, 2025

Area of Science:

Nanomaterials Science
Biosensor Technology
Biomedical Engineering

Background:

Accurate monitoring of uric acid (UA) is vital for diagnosing metabolic disorders and assessing kidney function.
Traditional UA detection methods face limitations in sensitivity and real-time monitoring.
Developing advanced biosensors is crucial for improved healthcare diagnostics.

Purpose of the Study:

To develop a highly sensitive field-effect transistor (FET) based uric acid (UA) biosensor.
To utilize vertically aligned zinc oxide (ZnO) nanorods (NRs) for enhanced biosensing performance.
To evaluate the biosensor's performance, including sensitivity, dynamic range, detection limit, selectivity, stability, and applicability in serum samples.

Main Methods:

Fabrication of a FET biosensor using hydrothermally synthesized vertical ZnO NRs and uricase.
Testing the biosensor in phosphate-buffered saline (PBS) with varying UA concentrations.
Evaluation of key performance metrics: sensitivity, dynamic range, limit of detection, selectivity, storage stability, and reproducibility.
Assessment of the biosensor's applicability for detecting UA in human serum samples.

Main Results:

The FET biosensor demonstrated a high sensitivity of 12.45 μA·mM^-1·cm^-2.
A wide dynamic range of 0.05–2.75 mM and a low detection limit of approximately 0.0043 mM were achieved.
The vertical electrode configuration significantly improved sensing performance compared to traditional lateral electrode setups.
The biosensor exhibited good selectivity, storage stability, and fabrication reproducibility, and was successfully applied to serum UA detection.

Conclusions:

The developed FET-based UA biosensor with vertical ZnO NRs offers superior performance for UA detection.
The vertical electrode configuration enhances sensitivity and lowers the detection limit, outperforming conventional designs.
This biosensor technology holds promise for sensitive, real-time UA monitoring and can be extended for detecting other biomarkers.