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Type: 
Journal
Description: 
Fluorescent carbon quantum dots (CDs) are synthesized and employed as fluorescent nanochemosensors for selective detection of amino acids. A detailed investigation of excitation–emission maps revealed that the fluorescence properties of CDs are intensely and strongly influenced by the interaction at the surface with different amino acids. The discrimination capability was demonstrated by tensor rank decomposition of the differences induced by the surface reaction in the excitation–emission maps and by means of a common machine learning approach based on artificial neural networks.
Publisher: 
American Chemical Society
Publication date: 
27 May 2021
Authors: 

Nunzio Tuccitto, Luca Fichera, Roberta Ruffino, Valentina Cantaro, Gianfranco Sfuncia, Giuseppe Nicotra, Giuseppe Trusso Sfrazzetto, Giovanni Li-Destri, Andrea Valenti, Antonino Licciardello, Alberto Torrisi

Biblio References: 
Origin: 
ACS Applied Nano Materials