Kumari, Bharti ; John, Daniel ; Hoffmann, Paul ; Spende, Anne ; Toimil-Molares, Maria Eugenia ; Trautmann, Christina ; Hess, Christian ; Ruff, Philip ; Schulze, Marcus ; Stark, Robert ; Buntkowsky, Gerd ; Andrieu-Brunsen, Annette ; Gutmann, Torsten (2021)
Surface Enhanced DNP Assisted Solid-State NMR of Functionalized SiO2 Coated Polycarbonate Membranes.
In: Zeitschrift für Physikalische Chemie, 2018, 232 (7-8)
doi: 10.26083/tuprints-00019680
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Surface enhanced solid-state NMR by dynamic nuclear polarization (DNP SENS) enables the characterization of the inner-pore surface functionalization of porous etched ion-track membranes exhibiting low specific surface areas compared to typical SBA- or MCM-type mesoporous silica materials. The membranes were conformally coated with a 5 nm thin SiO2 layer by atomic layer deposition. This layer was subsequently modified by aminopropyl silane linkers that allow further functionalization via the terminal amine group. The results evidence that in principle DNP SENS is a capable tool to analyze more complex porous systems, e.g. bioinspired functional etched ion-track membranes down to the molecular level. These results are relevant also for single nanopore systems, for which a direct analysis of the channel surface functionalization is not feasible by classical characterization methods. The applicability of DNP SENS to complex porous systems requires the optimization of the sample preparation and measurement parameters.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2021 |
Autor(en): | Kumari, Bharti ; John, Daniel ; Hoffmann, Paul ; Spende, Anne ; Toimil-Molares, Maria Eugenia ; Trautmann, Christina ; Hess, Christian ; Ruff, Philip ; Schulze, Marcus ; Stark, Robert ; Buntkowsky, Gerd ; Andrieu-Brunsen, Annette ; Gutmann, Torsten |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | Surface Enhanced DNP Assisted Solid-State NMR of Functionalized SiO2 Coated Polycarbonate Membranes |
Sprache: | Englisch |
Publikationsjahr: | 2021 |
Publikationsdatum der Erstveröffentlichung: | 2018 |
Verlag: | De Gruyter |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Zeitschrift für Physikalische Chemie |
Jahrgang/Volume einer Zeitschrift: | 232 |
(Heft-)Nummer: | 7-8 |
DOI: | 10.26083/tuprints-00019680 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/19680 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichungsservice |
Kurzbeschreibung (Abstract): | Surface enhanced solid-state NMR by dynamic nuclear polarization (DNP SENS) enables the characterization of the inner-pore surface functionalization of porous etched ion-track membranes exhibiting low specific surface areas compared to typical SBA- or MCM-type mesoporous silica materials. The membranes were conformally coated with a 5 nm thin SiO2 layer by atomic layer deposition. This layer was subsequently modified by aminopropyl silane linkers that allow further functionalization via the terminal amine group. The results evidence that in principle DNP SENS is a capable tool to analyze more complex porous systems, e.g. bioinspired functional etched ion-track membranes down to the molecular level. These results are relevant also for single nanopore systems, for which a direct analysis of the channel surface functionalization is not feasible by classical characterization methods. The applicability of DNP SENS to complex porous systems requires the optimization of the sample preparation and measurement parameters. |
Status: | Verlagsversion |
URN: | urn:nbn:de:tuda-tuprints-196801 |
Zusätzliche Informationen: | Keywords: dynamic nuclear polarization; etched ion-track membranes; silica coating; solid-state NMR; surface analysis |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 540 Chemie |
Fachbereich(e)/-gebiet(e): | 07 Fachbereich Chemie 07 Fachbereich Chemie > Eduard Zintl-Institut 07 Fachbereich Chemie > Eduard Zintl-Institut > Fachgebiet Physikalische Chemie |
Hinterlegungsdatum: | 01 Okt 2021 11:21 |
Letzte Änderung: | 29 Feb 2024 19:06 |
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