Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensing

Based on indolizine fluorescent core skeleton, a library of 75 different fluorescent derivatives were synthesized. Machine-learning algorithm allowed differentiation of 35 different volatile organic compounds via analysis of fluorescent pattern changes of fluorescent compound array, using a smartpho...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Chemical, 2021-02, Vol.329, p.129248, Article 129248
Hauptverfasser:	Kim, Hyungi, Choi, Sang-Kee, Ahn, Jungmo, Yu, Hojeong, Min, Kyoungha, Hong, Changgi, Shin, Ik-Soo, Lee, Sanghee, Lee, Hakho, Im, Hyungsoon, Ko, JeongGil, Kim, Eunha
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arrays Chemical compounds Environmental monitoring Fluorescence Fluorescent compound array Heavy metals Indolizine Light sources Luminous intensity Machine learning Multiplexing Pattern recognition Sensor arrays Target detection Toxins VOCs Volatile organic compounds
Online-Zugang:	Volltext
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