Issue 47, 2025, Issue in Progress

Dual-emission nitrogen-doped carbon dots for ratiometric and smartphone-based detection of levofloxacin

Abstract

Levofloxacin (LEV) is a third-generation fluoroquinolone commonly applied in treatment against infections in both humans and animals. However, its overuse has led to increasing concerns regarding environmental contamination, health risks, and the emergence of antibiotic-resistant bacteria. In this study, we present a novel dual-emission ratiometric fluorescence probe for the detection of LEV, utilizing the intrinsic green fluorescence of LEV as the sensing signal and blue-emissive nitrogen-doped carbon dots (N-CDs) as an internal reference. N-CDs were synthesized via a one-pot hydrothermal method using 4-aminoantipyrine (4AA) and hydrazine hydrate (HH) as precursors. Elemental analysis revealed a high nitrogen content (22.1%), which enhanced the photoluminescence properties, achieving a quantum yield of 35.6%. Surface functional groups (–OH, –NH2, and –COOH) contributed to excellent water dispersibility. Comprehensive characterization (FTIR, 1H-NMR, 13C-NMR, and Raman spectroscopy, XPS, XRD, and TEM) was conducted, and a plausible formation mechanism of N-CDs was proposed. Upon interaction with LEV, a clear fluorescence shift from blue to green enabled ratiometric detection, which was further implemented using a smartphone-based sensing platform. The probe exhibited a detection limit of 43 μmol L−1, a linear range of 0.4–20 μmol L−1, and a rapid response time of 3 min. Successful application to pharmaceutical samples demonstrated the probe's high accuracy and precision.

Graphical abstract: Dual-emission nitrogen-doped carbon dots for ratiometric and smartphone-based detection of levofloxacin

Supplementary files

Article information

Article type
Paper
Submitted
03 Aug 2025
Accepted
07 Oct 2025
First published
21 Oct 2025
This article is Open Access
Creative Commons BY license

RSC Adv., 2025,15, 40043-40055

Dual-emission nitrogen-doped carbon dots for ratiometric and smartphone-based detection of levofloxacin

S. A. Abubakr, S. J. Mohammed and A. H. Alshatteri, RSC Adv., 2025, 15, 40043 DOI: 10.1039/D5RA05645D

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.

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