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APTES-Based Silica Nanoparticles as a Potential Modifier for the Selective Sequestration of CO2 Gas Molecules

dc.contributor.authorCueto Díaz, Eduardo J.es
dc.contributor.authorValles González, M. P.es
dc.contributor.authorTorquemada, M. C.es
dc.contributor.authorGálvez Martínez, Santoses
dc.contributor.authorSuárez García, Fabiánes
dc.contributor.authorCastro Muñiz, Albertoes
dc.contributor.authorMateo Martí, Evaes
dc.contributor.funderAgencia Estatal de Investigación (AEI)es
dc.date.accessioned2022-12-15T10:17:12Z
dc.date.available2022-12-15T10:17:12Z
dc.date.issued2021-10-10
dc.description.abstractIn this work, we have described the characterization of hybrid silica nanoparticles of 50 nm size, showing outstanding size homogeneity, a large surface area, and remarkable CO2 sorption/desorption capabilities. A wide battery of techniques was conducted ranging from spectroscopies such as: UV-Vis and IR, to microscopies (SEM, AFM) and CO2 sorption/desorption isotherms, thus with the purpose of the full characterization of the material. The bare SiO2 (50 nm) nanoparticles modified with 3-aminopropyl (triethoxysilane), APTES@SiO2 (50 nm), show a remarkable CO2 sequestration enhancement compared to the pristine material (0.57 vs. 0.80 mmol/g respectively at 50 °C). Furthermore, when comparing them to their 200 nm size counterparts (SiO2 (200 nm) and APTES@SiO2 (200 nm)), there is a marked CO2 capture increment as a consequence of their significantly larger micropore volume (0.25 cm3/g). Additionally, ideal absorbed solution theory (IAST) was conducted to determine the CO2/N2 selectivity at 25 and 50 °C of the four materials of study, which turned out to be >70, being in the range of performance of the most efficient microporous materials reported to date, even surpassing those based on silica.es
dc.description.peerreviewedPeerreviewes
dc.description.sponsorshipThis work has been supported by the MINECO grant PID2019-104205GB-C21 and PID2019-107442RB-C32 and has been partially funded by the Spanish State Research Agency (AEI) Project No. MDM-2017-0737 Unidad de Excelencia “María de Maeztu”-Centro de Astrobiología (INTA-CSIC) and by ERDF through projects RTI2018-100832-B-I00 and IDI/2018/000233. E. C. D: Talent Attraction Postdoctoral Fellowship from CAM, reference: 2018-T2/TIC-10616.es
dc.identifier.citationNanomaterials 11(11): 2893 (2021)es
dc.identifier.doi10.3390/nano11112893
dc.identifier.issn2079-4991
dc.identifier.otherhttps://doi.org/10.3390/nano11112893es
dc.identifier.pmid34835658
dc.identifier.urihttp://hdl.handle.net/20.500.12666/818
dc.language.isoenges
dc.publisherMultidisciplinary Digital Publishing Institutees
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104205GB-C21/ES/CICLO DE AEROSOLES EN MARTE Y LA TIERRA, ESTUDIO COMPARATIVO. IMPLICACIONES PARA LA VIDA Y PROTECCION PLANETARIA-ATMOSFERAS (CAMELIA-ATM)/es
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107442RB-C32/ES/OPERACION TECNICA Y EXPLOTACION CIENTIFICA DE DATOS EN RLS DE EXOMARS, Y CONTRIBUCION AL RAX DE MMX/es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.license© 2021 by the authors. Licensee MDPI, Basel, Switzerlandes
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es
dc.subjectCO2/N2 selectivityes
dc.subjectCO2 adsorptiones
dc.subjectfunctional silica nanoparticleses
dc.subjectsurface spectroscopieses
dc.subjecthybrid nanomaterialses
dc.titleAPTES-Based Silica Nanoparticles as a Potential Modifier for the Selective Sequestration of CO2 Gas Moleculeses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dspace.entity.typePublication
relation.isProjectOfPublication9f939b9b-82c3-424e-be42-7f6ac1638215
relation.isProjectOfPublicationbd4dacd5-31e5-48ca-96c8-7093d4090ed3
relation.isProjectOfPublication.latestForDiscovery9f939b9b-82c3-424e-be42-7f6ac1638215

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