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dc.contributor.authorWang, Lujun
dc.contributor.authorNg, Siowwoon
dc.contributor.authorJyoti
dc.contributor.authorPumera, Martin
dc.date.accessioned2022-09-26T12:33:47Z
dc.date.available2022-09-26T12:33:47Z
dc.date.issued2022
dc.identifier.citationACS Applied Nano Materials. 2022.cs
dc.identifier.issn2574-0970
dc.identifier.urihttp://hdl.handle.net/10084/148643
dc.description.abstractWith the advantages of on-demand customization, 3D-printing techniques have elevated the horizon of various fields. The as-printed 3D structures often require postmodification to enhance their properties. Here, we describe the use of molecularly precise covalent framework modification in combination with atomic layer deposition (ALD) to construct advanced sensors. First, a high-stability electrode was obtained by covalent modification of porous nanomaterial [covalent organic frameworks, (COF)] on the activated 3D electrode for the first time. Subsequently, the Al2O3 nanomaterial was coated on the COF-based 3D electrode by the ALD technique. The constructed sensor termed Al2O3/COF/3DE was chosen for the determination of important biomarkers including ascorbic acid, catechol, and dopamine, which showed a high sensitivity for detecting these biomarkers. This work opens avenues for the covalent modification of porous materials on 3D-printed electrodes and deposition of functional material using the ALD technique on the modified 3D electrode surface.cs
dc.language.isoencs
dc.publisherAmerican Chemical Societycs
dc.relation.ispartofseriesACS Applied Nano Materialscs
dc.relation.urihttps://doi.org/10.1021/acsanm.2c01937cs
dc.rightsCopyright © 2022, American Chemical Societycs
dc.subjectcovalent organic frameworkscs
dc.subjectatomic layer depositioncs
dc.subjectcovalent cross-linkingcs
dc.subject3D printingcs
dc.subjectelectrochemistrycs
dc.titleAl2O3/covalent organic framework on 3D-printed nanocarbon electrodes for enhanced biomarker detectioncs
dc.typearticlecs
dc.identifier.doi10.1021/acsanm.2c01937
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.identifier.wos000820488000001


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