A dual mode turn-on probe for H2O2 sensing via fluorescence and colorimetry in live cells and serum

Abstract

Hydrogen peroxide (H2O2), as a crucial intracellular reactive oxygen species (ROS) and secondary messenger, plays a key role in various physiological and pathological processes. Therefore, accurate detection of H2O2 is of great significance for investigating disease mechanisms. In this study, a novel fluorescence and colorimetric dual-mode probe, Re-FS, was designed and synthesized based on a resorufin (Re) scaffold, employing a pentafluorobenzenesulfonyl (FS) group as the recognition moiety. Upon reaction with H2O2, the FS group undergoes a nucleophilic substitution reaction, releasing Re and triggering a fluorescence “turn-on” response accompanied by a distinct color change. The detection limits were determined to be 5 µM for the fluorescence mode and 10 µM for UV-vis mode, both exhibiting a linear range of 0–1 mM. Benefiting from the strong electron-withdrawing effect of the fluorine atoms in the FS group, the probe demonstrates excellent selectivity against various potential interferents. It has been successfully applied for the effective sensing and imaging of H2O2 in serum and living cell environments. Furthermore, the visible color transition of the probe solution facilitates the development of a portable H2O2 visual detection platform based on smartphone RGB analysis. This dual-mode detection strategy enables cross-validation of results, providing a promising tool for monitoring neurodegenerative diseases.

Graphical abstract: A dual mode turn-on probe for H2O2 sensing via fluorescence and colorimetry in live cells and serum

Supplementary files

Article information

Article type
Paper
Submitted
05 Mar 2026
Accepted
11 May 2026
First published
18 May 2026

Anal. Methods, 2026, Advance Article

A dual mode turn-on probe for H2O2 sensing via fluorescence and colorimetry in live cells and serum

W. Chen, H. Dong, S. Wang, Y. Jiang, Y. Qian, A. Chang, J. Ding, X. Yang, Y. Zhou, Y. Zhang, Z. Li and M. Xu, Anal. Methods, 2026, Advance Article , DOI: 10.1039/D6AY00388E

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