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Benzotrithiophene-based covalent organic frameworks for real-time visual onsite assays of enrofloxacin.

Authors :
Yang, Li
Li, Mengyao
Kuang, Lijuan
Li, Yiheng
Chen, Lili
Lin, Chunhua
Wang, Li
Song, Yonghai
Source :
Biosensors & Bioelectronics. Oct2022, Vol. 214, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Enrofloxacin (ENR) is a fluoroquinolone antibiotic that has been used to treat bacterial diseases in aquaculture extensively. ENR might accumulate in the body and cause severe liver damage. Therefore, it is necessary to develop a method for rapid detection of ENR. Herein, amine monomers with different numbers of amino groups, charge and length (1,3-diaminoguanidine monohydrochloride: DMGH, triaminoguanidine hydrochloride: TAGH, hydrazine: H) were used to regulate the fluorescence of benzotrithiophene tricar-baldehyde (BTT)-based covalent organic frameworks (COFs) for real-time visual onsite assays of ENR for the first time. The C 3 symmetric COF BTT-TAGH only had one emission peak at 540 nm, while C 6 symmetric COF BTT-DMGH and COF BTT-H had two emission peaks. COF BTT-TAGH could achieve the color transition from green to blue with increasing ENR. Thus test paper and gel were designed as real-time detection tools, combined with a smartphone APP. The detection limits obtained by RGB analysis were 106.2 nM for test paper and 26.00 nM for test gel, respectively. This method was applied to detect ENR in fish and clam metabolite successfully. This work also provides important reference to regulate fluorescence of COFs according to actual application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
214
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
158118314
Full Text :
https://doi.org/10.1016/j.bios.2022.114527