Enzyme-free optical detection of uric acid using corona phase molecular recognition in near-infrared fluorescent single-walled carbon nanotubes

Abstract

Real-time monitoring of uric acid (UA) is essential for preventing and managing chronic diseases. While enzymatic methods are the clinical standard, they are limited by slow reaction times and strict environmental requirements. Enzyme-free sensors offer alternatives but face challenges in analyte selectivity and clear optical signal readouts. In this study, we developed an enzyme-free UA detection method based on corona phase molecular recognition (CoPhMoRe). We developed a near-infrared (NIR) optical nanosensor by functionalizing single-walled carbon nanotubes (SWCNTs) with single-stranded DNA (ssDNA). Through high-throughput screening, we identified the optimal corona of the sensor as (AAT)10/SWCNT and further optimized it with studying the pH effects to account for the natural pH variation in urine. To facilitate point-of-care (POC) application, we integrated the corona nanosensor with an optical paper strip, achieving a rapid and intense turn-on NIR response up to 4 times stronger when exposed to urine samples containing UA concentrations ranging from 5.7 to 500 μM. Moreover, the corona nanosensor-integrated paper strip exhibited reliable performance even under harsh conditions of 70% relative humidity and 40 °C. This study demonstrates the enzyme-free UA detection capability of SWCNT-based CoPhMoRe in complex biofluids, establishing its potential for future application as an optical test strip in POC diagnostics.

Graphical abstract: Enzyme-free optical detection of uric acid using corona phase molecular recognition in near-infrared fluorescent single-walled carbon nanotubes

Supplementary files

Article information

Article type
Paper
Submitted
01 dec 2024
Accepted
17 mar 2025
First published
07 apr 2025
This article is Open Access
Creative Commons BY license

Nanoscale, 2025, Advance Article

Enzyme-free optical detection of uric acid using corona phase molecular recognition in near-infrared fluorescent single-walled carbon nanotubes

M. Yoon, S. Shin, S. Lee and S. Cho, Nanoscale, 2025, Advance Article , DOI: 10.1039/D4NR05046K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements