荧光
碳量子点
量子点
氨基酸
化学
激发
张量(固有定义)
分解
人工神经网络
光化学
材料科学
碳纤维
纳米技术
计算机科学
有机化学
物理
人工智能
数学
光学
生物化学
复合数
量子力学
复合材料
纯数学
作者
Nunzio Tuccitto,Luca Fichera,Roberta Ruffino,Valentina Cantaro,Gianfranco Sfuncia,Giuseppe Nicotra,Giuseppe Trusso Sfrazzetto,Giovanni Li‐Destri,Andrea Valenti,Antonino Licciardello,Alberto Torrisi
标识
DOI:10.1021/acsanm.1c01046
摘要
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.
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