A smartphone-assisted dual-mode colorimetric sensing system for on-site detection of ciprofloxacin: experimental and DFT insights

Abstract

The development of portable, cost-effective, and user-friendly analytical tools for one-site detection of ciprofloxacin (CIP) in complex matrices remains a significant challenge. Herein, we report a novel smartphone-assisted dual-mode colorimetric sensing platform based on an aluminum(III)–alizarin red S (Al(III)–(ARS)2) chemosensing ensemble for the rapid and sensitive determination of CIP in aqueous media. The sensing strategy exploits the strong chelating ability of CIP toward Al(III) via its carboxylate and carbonyl groups, driving the formation of a ternary CIP–Al(III)–(ARS)2 complex accompanied by a distinct color change from orange to pink. This color change is quantitatively monitored using both UV-Vis spectrophotometry and smartphone-based RGB image analysis, enabling complementary dual-mode detection. The proposed platform exhibits excellent analytical performance with linear ranges of 0.34–13.6 µM (UV-Vis) and 0.075–12 µM (smartphone-based analysis) and low limits of detection of 70 nM and 48 nM, respectively. Notably, the smartphone-assisted approach minimizes user subjectivity, enhances signal reproducibility, and enables rapid analysis within minutes. The method was successfully applied to real samples, including pharmaceutical formulations, environmental water, and human urine, achieving satisfactory recoveries (95.20–119.04%) and good precision (RSD: 1.02–6.09%). The sensing mechanism was validated by UV-visible and FT-IR spectroscopic analyses and further supported by DFT calculations.

Graphical abstract: A smartphone-assisted dual-mode colorimetric sensing system for on-site detection of ciprofloxacin: experimental and DFT insights

Supplementary files

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
29 Apr 2026
Accepted
12 Jun 2026
First published
26 Jun 2026

Anal. Methods, 2026, Advance Article

A smartphone-assisted dual-mode colorimetric sensing system for on-site detection of ciprofloxacin: experimental and DFT insights

S. M. Ragab, E. A. Moawed and M. M. Aboelnga, Anal. Methods, 2026, Advance Article , DOI: 10.1039/D6AY00817H

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements