酚类
化学
苯酚
硝基苯酚
指纹(计算)
过氧化氢
有机化学
催化作用
计算机科学
人工智能
作者
Haotian Zhong,Yuting Xue,Bin Liu,Zhengbo Chen,Kai Li,Xia Zuo
出处
期刊:Analytical Methods
[Royal Society of Chemistry]
日期:2022-01-01
卷期号:14 (9): 892-899
被引量:2
摘要
Phenols are harmful to the human body and the environment. Since there are a variety of phenols in actual samples, this requires a sensor which possesses the ability to simultaneously distinguish them. Herein, we report a colorimetric sensor array, which uses two nanozymes (Fe-N-C nanozymes and Cu-N-C nanozymes) as electronic tongues for fingerprint identification of six phenols (2,4,6-trichlorophenol (2,4,6-Tri), 4-nitrophenol (P-np), phenol (Phe), 3-chlorophenol (3-CP), 4-chlorophenol (4-CP), and o-nitrophenol (O-np)) in the environment. Nanozymes catalyzed the reaction of hydrogen peroxide, different phenols and 4-aminoantipyrine (4-AAP) to produce different color variations. These signal changes as fingerprints encouraged us to develop a pattern recognition method for the identification of phenols by linear discriminant analysis (LDA). The six phenols at 50 nM have their own response patterns, respectively. Surprisingly, this sensor array had distinguished the six phenols in actual samples successfully.
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