A paper-based microfluidic sensor array combining molecular imprinting technology and carbon quantum dots for the discrimination of nitrophenol isomers

被引:34
|
作者
Zhu, Liang [1 ,2 ]
Mei, Xuecui [1 ,2 ]
Peng, Zhengchun [3 ]
Yang, Jiao [1 ,2 ]
Li, Yingchun [1 ,2 ]
机构
[1] Harbin Inst Technol, Sch Sci, Shenzhen 518055, Peoples R China
[2] Harbin Inst Technol, Sch Chem & Chem Engn, Harbin 150001, Peoples R China
[3] Shenzhen Univ, Coll Optoelect Engn, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
Editor; Lee Blaney; PADs; Sensor array; Carbon quantum dots; MIPs; Nitrophenol isomers; FLUORESCENCE DETECTION; POLYMERS; DEVICE; IONS; CHIP;
D O I
10.1016/j.jhazmat.2022.129012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Paper-based microfluidic analytical devices (mu PADs) have recently attracted attention as a rapid test kit owing to their low cost and nonrequirement for external driving pump. However, low accuracy and poor anti-interference ability of mu PADs under complex detection condition limit their practical applications. Here, we present a facile way to prepare a novel fluorescence sensor-array mu PAD for multi-analyte discrimination based on molecular imprinting technology, and its sensing behavior was studied by using three nitrophenol (NP) isomers (2-, 3-, and 4-NP) as the testing models. Carbon quantum dots (CQDs) emitting blue light were grafted on glass-fiber paper, followed by insitu modification of three types of molecularly imprinted polymers (MIPs) with 2-, 3-, and 4-NP as template. Each sensing unit on the array showed differential yet cross-reactive binding affinity to NP isomers, resulting in distinct fluorescence quenching efficiency. Thus, precise distinguishment of the three NPs was realized with the MIPs/ CQDs/paper-based sensor array. Furthermore, the discrimination ability of the platform was evaluated in mixtures of the NP isomers. Practicability of this apparatus was validated by identification of blind samples and 100% accuracy was achieved. The mu PAD has proven to be highly sensitive and accurate, which will serve as an ideal analytical tool in the fields of environment monitoring, disease prognosis, food safety and so on.
引用
收藏
页数:8
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