Issue 31, 2024

A dual-sensing strategy for the early diagnosis of urinary tract infections via detecting biofilm cellulose using aromatic amino acid-capped Au and Ag nanoparticles

Abstract

Currently, urinary tract infection (UTI) diagnosis focuses on planktonic cell detection rather than biofilm detection, but the facile identification of UPEC bacterial biofilms is crucial in UTI diagnosis as the biofilm formed by bacteria is the causative agent of recurrent and chronic UTIs. Therefore, in this work, we developed a simple, cost-effective, colorimetric, and electrochemical-based strategy for the detection of cellulose in urine. Cellulose, a biofilm matrix component, was detected using tyrosine-capped gold and silver nanoparticles through a visible colorimetric change with a decrease in the absorbance intensity and a decrease in current response in the case of cyclic voltammetry. The sensor displayed a linear detection range of 10–70 mg mL−1 for colorimetry and 10–300 μg mL−1 for cyclic voltammetry with a good selectivity of <2.8% and a recovery rate of 95–100% in real-time sample analysis. Moreover, the binding affinity of cellulose with tyrosine was investigated using molecular docking studies to validate the sensing mechanism. We anticipate that our work will aid clinicians in the implementation of rapid, cost-effective, and definitive diagnosis of UTIs.

Graphical abstract: A dual-sensing strategy for the early diagnosis of urinary tract infections via detecting biofilm cellulose using aromatic amino acid-capped Au and Ag nanoparticles

Supplementary files

Article information

Article type
Paper
Submitted
26 Apr 2024
Accepted
26 Jun 2024
First published
10 Jul 2024

J. Mater. Chem. B, 2024,12, 7564-7576

A dual-sensing strategy for the early diagnosis of urinary tract infections via detecting biofilm cellulose using aromatic amino acid-capped Au and Ag nanoparticles

K. B. Ramaiah, I. Suresh, C. S. Srinandan, N. Sai Subramanian and J. B. B. Rayappan, J. Mater. Chem. B, 2024, 12, 7564 DOI: 10.1039/D4TB00902A

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