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dc.creatorBinetti Basterrechea, Gian Franco
dc.creatorMontesinos, Victor Nahuel
dc.creatorQuici, Natalia
dc.date.accessioned2024-03-27T17:13:30Z
dc.date.available2024-03-27T17:13:30Z
dc.date.issued2023-11-20
dc.identifier.citationHeliyones_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12272/10195
dc.description.abstractIn this work, we investigated the photocatalytic removal of NOx using 3D-printed supports. Monolithic supports with internal channels were fabricated by Fused Modelling Deposition (FDM) using PET as the filament feedstock. The printing parameters of the supports were optimized to maximize the exposure of the photocatalyst to UV light throughout the monolithic PET printed supports. The removal experiments were carried out in a continuous gas phase flow reactor, which was custom designed in-house incorporating a 3D printed PET support impregnated with TiO2 as photocatalyst. The impregnated and non-impregnated supports were characterized by diffuse reflectance spectrometry, SEM and AFM. The effect of several key-factors on the NOX removal capacity was investigated, including the type of PET filament (native recycled, BPET vs. glycol-modified, PETG), the type of TiO2 (P25 vs Hombikat UV-100), the UV light source (LED vs. tubular lamps), and the number of deposited TiO2 layers. The highest NO and NOx removal were achieved by using PETG supports coated with a single layer of Hombikat UV-100 and irradiating the flat reactor from both sides using two sets of black light lamps. However, the highest selectivity toward nitrate formation was obtained when using P25 under the same experimental conditions. This work demonstrates that 3D printing is a reliable and powerful technique for fabricating photocatalytic reactive supports that can serve as a versatile platform for evaluating photocatalytic performance.es_ES
dc.description.sponsorshipCONICETes_ES
dc.description.sponsorshipFONCyTes_ES
dc.description.sponsorshipUTNes_ES
dc.formatpdfes_ES
dc.language.isoenges_ES
dc.language.isoenges_ES
dc.rightsopenAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.sourceHeliyon, 9(12), e22635. (2023)es_ES
dc.subject3D printinges_ES
dc.subjectheterogeneous photocatalysises_ES
dc.subjectTiO2es_ES
dc.subjectNOxes_ES
dc.titlePhotocatalytic NOx removal with TiO2-impregnated 3D-printed PET supportses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.affiliationBinetti Basterrechea, Gian Franco. Centro Tecnologías Químicas – Dpto. de Ingeniería Química, FRBA, UTN, Medrano 951, Ciudad Autónoma de Buenos Aires, Argentina.es_ES
dc.description.affiliationMontesinos, Victor Nahuel. Gerencia de Química – CNEA, CONICET, Av. Gral. Paz 1499, Villa Maipú, Argentina. Centro Tecnologías Químicas – Dpto. de Ingeniería Química, FRBA, UTN, Medrano 951, Ciudad Autónoma de Buenos Aires, Argentina.es_ES
dc.description.affiliationQuici, Natalia. Gerencia de Química – CNEA, CONICET, Av. Gral. Paz 1499, Villa Maipú, Argentina. Centro Tecnologías Químicas – Dpto. de Ingeniería Química, FRBA, UTN, Medrano 951, Ciudad Autónoma de Buenos Aires, Argentina.es_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.relation.projectidPIP 2021-2023, CONICET: Inmovilización de nanopartículas metálicas y semiconductoras en biomasa o matrices poliméricas para remoción de contaminantes en fase acuosa y gaseosa por procesos avanzados oxidativos y reductivos y/o adsorción”es_ES
dc.relation.projectidPhosAgro/UNESCO/IUPAC/CNEA on Green Chemistry: “From waste to fuel: 3D-printed gas phase reactors for low-cost methane photocatalytic synthesis by reduction of emitted CO2 in water treatment”.es_ES
dc.relation.projectidPID MSUTIBA0006572TC 2019, UTN: “Diseño y fabricación de reactores por impresión 3D para conversión de CO2 en compuestos con valor agregado por fotocatálisis heterogénea”es_ES
dc.type.versionpublisherVersiones_ES
dc.rights.useAtribuciónes_ES
dc.identifier.doihttps://doi.org/10.1016/j.heliyon.2023.e22635
dc.creator.orcidhttps://orcid.org/0000-0002-8057-5191es_ES


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