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Small‐Molecule Dengue Virus Co‐imprinting and Its Application as an Electrochemical Sensor
Author(s) -
Sukjee Wannisa,
Tancharoen Chompoonuch,
Yenchitsomanus Pathai,
Gleeson M. Paul,
Sangma Chak
Publication year - 2017
Publication title -
chemistryopen
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.644
H-Index - 29
ISSN - 2191-1363
DOI - 10.1002/open.201700037
Subject(s) - molecular imprinting , molecularly imprinted polymer , polymer , dengue virus , monomer , nanoparticle , polymerization , nanotechnology , chemical engineering , materials science , molecule , dengue fever , chemistry , organic chemistry , selectivity , catalysis , biology , engineering , immunology
Polymers can be synthesized to recognize small molecules. This is achieved by introducing the target molecule during monomer self‐assembly, where they can be incorporated during cross‐linking polymerization. Following additional pre‐processing, the material obtained can then be applied as a sensing layer for these molecules in many applications. The sensitivity of the polymers depends on the “active sites” imprinted on the surface. Increasing the number of active sites on the polymers surface can be achieved by using nanoparticles as a platform to support and concentrate the molecules for imprinting. In this work, we report the first use of dengue virus as a supporting nanoparticle to make for a more effective polymer composite sensor for the detection of bisphenol A (BPA), which is an environmental contaminant. The dengue virus has a nanoparticle size of around 100 nm and its surface provides regions where lipids and hydrophobic compounds can bind, making it an ideal support. The mixing of BPA with dengue prior to monomer self‐assembly led to imprinted polymer surfaces with much higher density BPA binding sites and a limit of detection of 0.1 p M . We demonstrate that a BPA–dengue co‐imprinting polymer composite sensor shows a very high sensitivity for BPA, but with lower production costs and technical requirements than other comparable methods.

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