Issue 35, 2023

A portable test strip fabricated of luminescent lanthanide-functionalized metal–organic frameworks for rapid and visual detection of tetracycline antibiotics

Abstract

Tetracycline antibiotics (TCs) are commonly used antibiotics in the treatment of infections, but their overuse has a negative impact on human health and ecosystems. Thus, the development of a facile and on-site visualization method for TC detection is necessary. Here, we propose the potential of using lanthanide-functionalized metal–organic framework (MOF) composites (Ag+/Tb3+@UiO-66-(COOH)2, ATUC) as a probe for the rapid detection of tetracycline (TC), chlortetracycline (CTC), oxytetracycline (OTC), and doxycycline (DOX) residues, in which UiO-66-(COOH)2 (UC) could be utilized to provide an interaction microenvironment, Tb3+ as recognition units and Ag+ as a fluorescence enhancer. Upon exposure to TCs, significant luminescence quenching of ATUC excited at 255 nm was observed due to the inner filter effect (IFE) and photo-induced electron transfer (PET), and the established strategy has a detection limit (LOD) of 11.0, 20.1, 9.1, and 22.5 nM for TC, CTC, OTC, and DOX, respectively. More importantly, given its portability and conspicuous luminescence color gradation variation, a portable test strip based on ATUC was manufactured and the results could be distinguished immediately by the naked eye and smartphone analysis, allowing for on-site rapid quantitative assay of TCs, not only in the laboratory but also in a point-of-care setting.

Graphical abstract: A portable test strip fabricated of luminescent lanthanide-functionalized metal–organic frameworks for rapid and visual detection of tetracycline antibiotics

Supplementary files

Article information

Article type
Paper
Submitted
10 Jūl. 2023
Accepted
09 Aug. 2023
First published
10 Aug. 2023

Anal. Methods, 2023,15, 4459-4466

A portable test strip fabricated of luminescent lanthanide-functionalized metal–organic frameworks for rapid and visual detection of tetracycline antibiotics

T. Li, Z. Chen, Z. Zhao and Z. Liu, Anal. Methods, 2023, 15, 4459 DOI: 10.1039/D3AY01169K

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