Issue 12, 2026, Issue in Progress

A portable paper-based and smartphone-assisted colorimetric sensor for copper oxychloride

Abstract

Copper oxychloride (CuOxy) is a copper-containing fungicide and bactericide used to combat fungal diseases in fruits, vegetables, and ornamental crops. The maximum residue limit (MRL) for CuOxy is crop- and region-specific. The MRL for CuOxy is set in a range of 5–30 mg kg−1 for different sources by the European Food Safety Authority (EFSA). Herein, we report a novel colorimetric sensing platform based on coumarin triazole-functionalized silver nanoparticles (CT-AgNPs) for rapid, selective, and highly sensitive detection of CuOxy. The CT-AgNPs-based sensor exhibits excellent sensitivity, with a limit of detection (LoD) of 0.007 µM, a limit of quantification (LoQ) of 0.023 µM, and a linear detection range (LDR) of 0.1–100 µM. The system is efficiently integrated with AI-assisted smartphone detection and paper-based analytical devices (PADs) for real-time, on-site detection of CuOxy. Under optimized conditions, the sensor demonstrated outstanding selectivity, with no substantial interference from other environmental contaminants. The sensor's real-world applicability was verified through testing on actual samples, including tap and river water, along with different fruits and vegetables. To our knowledge, this is the first report of a CuOxy sensor combining both smartphone integration and paper-based analysis. The approach demonstrated high recovery rates in various environmental samples, validating its capability for quantitative CuOxy monitoring and offering a promising tool for ensuring food safety and environmental health.

Graphical abstract: A portable paper-based and smartphone-assisted colorimetric sensor for copper oxychloride

Supplementary files

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Article information

Article type
Paper
Submitted
21 Oct 2025
Accepted
16 Feb 2026
First published
25 Feb 2026
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2026,16, 10944-10957

A portable paper-based and smartphone-assisted colorimetric sensor for copper oxychloride

M. A. Sami, D. A. Raja, I. Ali, F. Ahmed, M. Fazal, M. R. Shah and M. I. Malik, RSC Adv., 2026, 16, 10944 DOI: 10.1039/D5RA08077K

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