Molecularly imprinted polymers and copper nano-particles for electrochemical detection of glucose: A review

2020 ◽  
Author(s):  
Stephy Jose ◽  
C. Beula
Talanta ◽  
2018 ◽  
Vol 176 ◽  
pp. 573-581 ◽  
Author(s):  
Hai-Hui Wang ◽  
Xuan-Jie Chen ◽  
Wei-Tian Li ◽  
Wen-Hui Zhou ◽  
Xiu-Chun Guo ◽  
...  

Polymers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 91
Author(s):  
Dalawan Limthin ◽  
Piyawan Leepheng ◽  
Annop Klamchuen ◽  
Darinee Phromyothin

Novel molecularly imprinted polymers (MIPs) represent a selectively recognized technique for electrochemical detection design. This rapid and simple method prepared via chemical synthesis consists of a monomer crosslinked with an initiator, whereas low sensitivity remains a drawback. Nanomaterials can improve charge transfer for MIP surface modification in order to overcome this problem. SPIONs have semiconductor and superparamagnetic properties that can enhance carrier mobility, causing high sensitivity of electrochemical detection. In this work, surface modification was achieved with a combination of MIP and SPIONs for gluten detection. The SPIONs were synthesized via the chemical co-precipitation method and mixed with MIPs by polymerizing gluten and methyl methacrylate (MMA), presented as a template and a monomer. Magnetic MIP (MMIP) was modified on a carbon-plate electrode. The morphology of modified electrode surfaces was determined by scanning electron microscopy–energy-dispersive X-ray spectrometry. The performance of the MMIP electrode was confirmed by cyclic voltammetry, amperometry, and electrochemical impedance spectroscopy. The MMIP electrode for gluten detection shows a dynamic linear range of 5–50 ppm, with a correlation coefficient of 0.994 and a low detection limit of 1.50 ppm, which is less than the U.S. Food and Drug Administration requirements (20 ppm); moreover, it exhibits excellent selectivity, sensitivity, stability, and reproducibility.


2010 ◽  
Vol 38 (3) ◽  
pp. 401-404
Author(s):  
Da-Wei LOU ◽  
Ying-Jie YANG ◽  
Guang HUANG ◽  
Ping-Li PU ◽  
Xin-Qing LEE ◽  
...  

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