Prussian blue analogues of Ni-Co-MoS2 nanozymes with high peroxidase like activity for sensitive detection of glyphosate and copper

被引:8
作者
Ravikumar, A. [1 ]
Kavitha, S. [2 ]
Arul, Amutha [3 ]
Rajaji, P. [4 ]
Tamilselvan, G. [1 ]
Li, Xuesong [1 ]
Wu, Beibei [5 ]
Tang, Jun [5 ]
Sivalingam, Yuvaraj [6 ]
Zhang, Zhen [1 ]
机构
[1] Jiangsu Univ, Sch Emergency Management, Sch Environm & Safety Engn, Zhenjiang 212013, Peoples R China
[2] Manonmanium Sundaranar Univ, MDT Hindu Coll, Dept Chem, Tirunelveli 627010, Tamil Nadu, India
[3] Francis Xavier Engn Coll, Dept Chem, Tirunelveli 627003, Tamil Nadu, India
[4] Dhanalakshmi Srinivasan Coll Engn & Technol, Dept Chem, Chennai 603104, Tamil Nadu, India
[5] Zhejiang Prov Ctr Dis Control & Prevent, Hangzhou 310015, Peoples R China
[6] SRM Inst Sci & Technol, Dept Phys & Nanotechnol, Kattankulathur 603203, Tamil Nadu, India
基金
中国国家自然科学基金;
关键词
Ni-Co-MoS 2 nano boxes; Peroxidase like activity; Colorimetric sensor; GLY and copper; AMINOMETHYLPHOSPHONIC ACID; CARBON DOTS;
D O I
10.1016/j.talanta.2023.125542
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The rational development of efficient nanozymes for the colorimetric detection of targets is still challenging. Herein, Prussian blue analogues of Ni-Co-MoS2 nano boxes were fabricated for colorimetric detection of glyphosate and copper ions owing to its peroxidase like activity. At the sensing system, the Ni-Co-MoS2 nano boxes display high peroxidase activity, which could catalytically oxidize the colourless TMB to blue colour oxTMB. In presence of glyphosate in this sensing system the blue colour is diminished, ascribed to the inhibit the catalytic activity of Ni-Co-MoS2 nano boxes. Concurrently, the addition of copper ion, which result in blue colour was reappear due to the generation of glyphosate-copper complex formation. The Ni-Co-MoS2 nano boxes based colorimetric sensing platform was developed to sensitive detection of glyphosate and copper ions with low detection limit of 3 nM for glyphosate and 3.8 nM for copper. This method also displays satisfactory outcomes from real samples analysis and its good accuracy. Therefore, this work provides a great potential for rapid detection of the targets from the environments.
引用
收藏
页数:8
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