Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines

Volume: 232, Pages: 118147 - 118147
Published: May 1, 2020
Abstract
The detection and differentiation of tetracyclines (TCs) has received increasing attention due to the severe threat they pose to human health and the ecological balance. A dual-channel fluorescence sensor array based on two carbon quantum dots (CDs) was fabricated to distinguish between four TCs, including tetracycline (TC), oxytetracycline (OTC), doxycycline (DOX), and metacycline (MTC). A distinct fluorescence variation pattern (I/I0) was...
Paper Details
Title
Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines
Published Date
May 1, 2020
Volume
232
Pages
118147 - 118147
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