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Unambiguous Discrimination and Detection of Controlled Chemical Vapors by a Film‐Based Fluorescent Sensor Array
Author(s) -
Liu Ke,
Wang Zhaolong,
Shang Congdi,
Li Xiao,
Peng Haonan,
Miao Rong,
Ding Liping,
Liu Jing,
Liu Taihong,
Fang Yu
Publication year - 2019
Publication title -
advanced materials technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.184
H-Index - 42
ISSN - 2365-709X
DOI - 10.1002/admt.201800644
Subject(s) - fluorescence , explosive material , detector , sensor array , materials science , computer science , nanotechnology , chemistry , optics , telecommunications , physics , organic chemistry , machine learning
In situ, online, fast, and sensitive detection and discrimination of explosives, illicit drugs, and volatile organic compounds via vapor sampling is a challenge for many years. The highly efficient and noncontact detection of 15 types of chemicals mentioned above using a film‐based fluorescent sensor array is reported herein. Importantly, the presence of water, toiletries, fruit, dirty clothes, and other interferences has little effect upon detection. Discrimination of the controlled chemicals is realized using a pattern recognition strategy. Meanwhile, a conceptual detector based on a sensor array is constructed and successfully used for simulated field tests. It is strongly believed that the present work not only provides a powerful fluorescent technique for efficient detection and discrimination of controlled chemicals with remarkably different properties but also demonstrates that arraying a single sensor is a promising strategy to mitigate the limitations of conventional film‐based fluorescent sensors.