Phosphate-mediated fluorescence switching in a UiO-66-NH2/red carbon dot hybrid for ratiometric and smartphone-assisted visual detection of ethephon

Abstract

A smartphone-integrated ratiometric fluorescent platform was developed for on-site quantitative and visual detection of ethephon (ETH) using a UiO-66-NH2/red carbon dots (R-CD) hybrid probe. The R-CDs were synthesized from green tea via an environmentally friendly route. Upon hydrolysis, ETH releases phosphate ions that competitively coordinate with the Zr clusters of UiO-66-NH2, thereby inhibiting ligand–metal charge transfer (LMCT) and enhancing the blue fluorescence at 456 nm. Meanwhile, the red emission of R-CDs at 674 nm remains constant as an internal reference. The intensity ratio (F456/F674) exhibited a linear response to ETH concentrations ranging from 12.5 to 500 µM (R2 = 0.997), with a limit of detection (LOD) of 3.5 µM. The probe displayed a distinct red-to-blue fluorescence transition for visual semi-quantification. Quantitative analysis using smartphone RGB imaging exhibited a linear range of 50–500 µM and a LOD of 15 µM. The probe exhibited excellent selectivity against interfering ions and pesticides. It also demonstrated good reproducibility, as evidenced by intra- and inter-day RSDs of 5.11% and 3.94%, respectively. When applied to Coltsfoot flower samples, the method achieved spiked recoveries ranging from 92.71% to 112.14% by fluorometry and from 89.1% to 110.6% by visual detection, both of which agreed well with HPLC-MS/MS results. This platform demonstrated great potential for food safety monitoring.

Graphical abstract: Phosphate-mediated fluorescence switching in a UiO-66-NH2/red carbon dot hybrid for ratiometric and smartphone-assisted visual detection of ethephon

Supplementary files

Article information

Article type
Paper
Submitted
09 Mar 2026
Accepted
11 May 2026
First published
17 May 2026

Anal. Methods, 2026, Advance Article

Phosphate-mediated fluorescence switching in a UiO-66-NH2/red carbon dot hybrid for ratiometric and smartphone-assisted visual detection of ethephon

X. Hu, R. Pan, S. Huang, Y. Lin, M. Xu, C. Yang, L. Yu, Q. Zou and H. Xu, Anal. Methods, 2026, Advance Article , DOI: 10.1039/D6AY00422A

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