Hydrogen-bond enhanced Tb/Eu-MOF for visual detection of multiple trace fluoroquinolones in seawater and a portable 3D-printed sensor

Abstract

To address the urgent need for rapid and on-site detection of trace antibiotic contamination in marine environments, this study employs a hydrogen-bond network enhancement strategy to construct a highly salt-resistant dual-lanthanide MOF, Tb/Eu-BTC@BTEC, for the sensitive and visual sensing of three fluoroquinolone antibiotics. By introducing the carboxyl-rich ligand H4BTEC to cooperate with H3BTC, a unique “double-crown” three-dimensional structure was formed to significantly reinforce intermolecular hydrogen-bonding networks and π–π stacking interactions. This structural design effectively resists interference from high-salt ions in seawater, resulting in only 1.97% fluorescence decay within 30 min in simulated seawater. The ratiometric fluorescence sensor responds instantaneously even in complex seawater matrices and achieves nanomolar-level detection limits (LODFLE = 80.7 nM, LODNOR = 21.03 nM, and LODENR = 28.22 nM) within the 0–10 µM target range. Furthermore, a portable detection platform was developed by 3D printing that enables visual, quantitative antibiotic monitoring via RGB-CIE colorimetric analysis. Spike recovery tests in real seawater samples (coastal and aquaculture areas) yielded recoveries of 93–110% with relative standard deviations below 6%. The result provides novel insights for developing stable sensors suitable for high-salt systems and pioneer new approaches for rapid on-site screening of pollution in marine environments.

Graphical abstract: Hydrogen-bond enhanced Tb/Eu-MOF for visual detection of multiple trace fluoroquinolones in seawater and a portable 3D-printed sensor

Supplementary files

Article information

Article type
Paper
Submitted
16 Jan 2026
Accepted
26 Mar 2026
First published
22 Apr 2026

Anal. Methods, 2026, Advance Article

Hydrogen-bond enhanced Tb/Eu-MOF for visual detection of multiple trace fluoroquinolones in seawater and a portable 3D-printed sensor

Z. Chen, S. Song, J. Lu, S. Wang, S. Chen, Z. Han and F. Yuan, Anal. Methods, 2026, Advance Article , DOI: 10.1039/D6AY00082G

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