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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Vydané v:	Food chemistry Ročník 478; s. 143722
Hlavní autori:	Li, Mengyuan, Jia, Lei, Zhao, Xiaolei, Zhang, Lina, Zhao, Dan, Xu, Jun, Zhao, Tongqian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 30.06.2025
Predmet:	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
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