Machine learning-assisted ratiometric fluorescence sensor array for recognition of multiple quinolones antibiotics

Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial for environmental protection and human health. In this study, a dual lanthanide fluorescence probe (GDP-Eu-Tb) based on nucleotides has been designed. The addition of quinolone antibiotics (QNs) quenc...

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Bibliographic Details
Published in:	Food chemistry Vol. 478; p. 143722
Main Authors:	Li, Mengyuan, Jia, Lei, Zhao, Xiaolei, Zhang, Lina, Zhao, Dan, Xu, Jun, Zhao, Tongqian
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 30.06.2025
Subjects:	Anti-Bacterial Agents - analysis Anti-Bacterial Agents - chemistry antibiotic residues decision support systems Decision tree algorithm environmental protection Fluorescence fluorescent dyes Fluorescent Dyes - chemistry food chemistry human health lanthanides levofloxacin Machine Learning moxifloxacin nucleotides principal component analysis Quinolones - analysis Quinolones - chemistry Quinolones antibiotics Ratiometric fluorescence sensor array Spectrometry, Fluorescence - instrumentation Spectrometry, Fluorescence - methods The principal component algorithm Decision tree algorithm Quinolones antibiotics Ratiometric fluorescence sensor array The principal component algorithm
ISSN:	0308-8146, 1873-7072, 1873-7072
Online Access:	Get full text
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