A smartphone-based colorimetric PET sensor platform with molecular recognition via thermally initiated RAFT-mediated graft copolymerization

buir.contributor.authorGüner, Hasan
buir.contributor.authorBarsbay, Murat
dc.citation.spage126653en_US
dc.citation.volumeNumber296en_US
dc.contributor.authorKuşçuoğlu, C.en_US
dc.contributor.authorGüner, Hasanen_US
dc.contributor.authorSöylemez, M.en_US
dc.contributor.authorGüven, O.en_US
dc.contributor.authorBarsbay, Muraten_US
dc.date.accessioned2020-02-06T08:34:08Z
dc.date.available2020-02-06T08:34:08Z
dc.date.issued2019
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)en_US
dc.description.abstractIn this work, we report a low-cost and easy-to-use molecularly-imprinted colorimetric sensor platform that can sense target analyte with high sensitivity and good selectivity. The platform has been examined for colorimetric detection and quantitation of a model textile dye, basic red 9 (BR9), by employing methacrylic acid (MAA), ethylene glycol dimethacrylate (EGDMA) and cumyl dithiobenzoate (CDB) as functional monomer, crosslinker and RAFT agent, respectively. Benzophenone (BP), a photoinitiator, was covalently immobilized on the surface of poly(ethylene terephthalate) (PET) and then thermally activated by homolytic cleavage to form radicals on the surface that initiate RAFT-mediated grafting of a thin recognition layer. The molecularly imprinted polymer (MIP) layer of about 100 nm showed excellent removal of 76.7% target dye in 10 min and high selectivity compared to other similar dyes with an imprinting factor of 10.31 in the competitive environment. The resulting MIP grafted PET substrate was efficiently used as recognition unit in a smartphone-based colorimetric detection method using a color adaptation algorithm for point-of-care applications. Based on the obtained performance, it is promising to use the method for the detection and quantification of various analytes with chromophores.en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2020-02-06T08:34:08Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-06T08:34:08Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) Previous issue date: 2019en
dc.embargo.release2021-10-01
dc.identifier.doi10.1016/j.snb.2019.126653en_US
dc.identifier.issn0925-4005
dc.identifier.urihttp://hdl.handle.net/11693/53125
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://doi.org/10.1016/j.snb.2019.126653en_US
dc.source.titleSensors and Actuators, B: Chemicalen_US
dc.subjectSmartphone-based sensingen_US
dc.subjectColorimetric detectionen_US
dc.subjectPET-based sensor platformen_US
dc.titleA smartphone-based colorimetric PET sensor platform with molecular recognition via thermally initiated RAFT-mediated graft copolymerizationen_US
dc.typeArticleen_US

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