共 3 条
Sensing array based on imidazole-regulated Cu@MOFs nanozymes with enhanced laccase-like activity for the discrimination of phenolic pollutants
被引:0
|作者:
Zhu, Fang
[1
]
Li, Mengfan
[1
]
Yang, Yudi
[1
]
Ai, Fengxiang
[1
]
Fan, Yunxiang
[1
]
Deng, Chunmeng
[1
]
Zeng, Kun
[1
]
Wei, Dali
[1
]
Deng, Yibin
[2
,3
]
Zhang, Zhen
[1
,2
,3
]
机构:
[1] Jiangsu Univ, Sch Environm & Safety Engn, Sch Emergency Management, Zhenjiang 212013, Peoples R China
[2] Youjiang Med Univ Nationalities, Affiliated Hosp, Ctr Med Lab Sci, Baise 533000, Peoples R China
[3] Key Lab Clin Mol Diag & Res High Incidence Dis Wes, Baise 533000, Guangxi, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Rapid detection;
Phenolic pollutants;
Sensor array;
Nanozyme;
Laccase-like activity;
MICROSPHERES;
CONSTRUCTION;
SAMPLES;
D O I:
10.1016/j.aca.2024.343592
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
Background: Phenolic pollutants with high toxicity and low biodegradability can disrupt environmental balance and severely affect human health, whereas existing methods are difficult to implement the rapid and high- throughput detection of multiple phenolic pollutants. Results: Herein, we developed a four-dimensional colorimetric sensor array based on imidazole-modulated Cu@MOFs for distinguishing and determining phenolic pollutants. Wherein, four Cu@MOFs (ATP@Cu, ADP@Cu, AMP@Cu, and GMP@Cu) nanozyme with laccase-like activity were firstly prepared, and a novel strategy of imidazole-containing molecules-regulated was proposed to improve the laccase-like activity of Cu@MOFs nanozymes. Interestingly, imidazole (IM) exhibited the strongest enhancing effects on the laccase-like activity of the four Cu@MOFs by accelerating electron transfer on the surface of laccase nanozymes and producing more reactive oxygen species. Subsequently, by using Cu@MOFs@IM as the recognition elements of the sensor array, a colorimetric sensor array based on imidazole-modulated Cu@MOFs was developed, and differentiation and classification of phenolic pollutants were carried out using LDA and HCA methods. More importantly, the proposed sensor array could accomplish the identification of 6 phenolic pollutants and their mixtures. Significance: Additionally, the designed sensor array was applied to identify these phenolic pollutants in real water samples, further highlighting the potentials for assessing water pollution.
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页数:10
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