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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