Issue 29, 2025

Recyclable luminescent metal–organic frameworks with self-formed diketone-like sites for cascade ratiometric detection

Abstract

The development of recyclable cascade sensing platforms capable of sequential detection and regeneration remains a critical challenge for sustainable technologies, owing to limitations in cross-sensitivity control, synthetic complexity, and material irreversibility. Herein, we report a self-assembled luminescent metal–organic framework, Cd-TCAT (TCAT = 4,4′,4′′-tricarboxyltriphenylamine/4H-1,2,4-triazole-3-amine), featuring in situ-generated diketone-like sites within its channels. These sites enable exceptional Tb3+ sensitization, yielding a 14.2-fold enhancement in the fluorescence intensity ratio (I545/I430). Mechanistic studies combining spectral analysis and DFT calculations reveal that the pre-organized diketone motifs selectively coordinate Tb3+, optimizing energy transfer for luminescence amplification. The resulting Tb3+@Cd-TCAT complex further acts as a cascade sensor, exhibiting ratiometric selectivity toward cysteine (Cys) over 20 natural amino acids through reversible host–guest interactions, which simultaneously regenerates the pristine MOF. Remarkably, this dual-functional platform maintains sensing efficiency after five reuse cycles, representing a recyclable MOF-based system for ratiometric cascade detection. This work establishes a design paradigm for engineering self-functionalized MOFs with tailored active sites to address multi-analyte sensing and sustainability demands.

Graphical abstract: Recyclable luminescent metal–organic frameworks with self-formed diketone-like sites for cascade ratiometric detection

Supplementary files

Article information

Article type
Paper
Submitted
13 May 2025
Accepted
27 Jun 2025
First published
27 Jun 2025

Nanoscale, 2025,17, 17324-17333

Recyclable luminescent metal–organic frameworks with self-formed diketone-like sites for cascade ratiometric detection

L. Pei, J. Zhang, W. Ding, J. Wang, F. Huang, Y. Liu, Z. Liu, Y. Gao and P. Wu, Nanoscale, 2025, 17, 17324 DOI: 10.1039/D5NR01962A

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