Carbon Quantum Dots as Fluorescence Nanochemosensors for Selective Detection of Amino Acids

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.

Automated summary

Fluorescent carbon quantum dots (CDs) are used as fluorescent nanochemosensors for selectively detecting amino acids, with their fluorescence properties being strongly influenced by interactions with different amino acids at the surface. The discrimination capability is demonstrated through tensor rank decomposition of differences induced by surface reactions in excitation-emission maps and by a common machine learning approach based on artificial neural networks.