Intelligent detection and classification of tetracycline drugs by rare earth fluorescence sensing platform based on deep learning algorithm and STM32 microcontroller

The excessive use of tetracycline antibiotics has led to an increase in antibiotic resistance among bacteria, complicating the treatment of infections. Additionally, residues of these antibiotics have become environmental pollutants, posing a threat to ecosystems. It is imperative to develop a rapid...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Jg. 445; S. 138638
Hauptverfasser:	Zhu, Ziqi, Xu, Jun, Chen, Xiangzhen, Li, Yongxin, Zhang, Lina, Jia, Lei, Li, Jiaying, Zhu, Taofeng, Zhao, Tongqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.12.2025
Schlagworte:	Deep learning Fluorescent detection Intelligent classification STM32 single-chip microcomputer Tetracycline antibiotics Fluorescent detection Deep learning Intelligent classification STM32 single-chip microcomputer Tetracycline antibiotics
ISSN:	0925-4005
Online-Zugang:	Volltext
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