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Surface Enhanced DNP Assisted Solid-State NMR of Functionalized SiO2 Coated Polycarbonate Membranes

Kumari, Bharti and John, Daniel and Hoffmann, Paul and Spende, Anne and Toimil-Molares, Maria Eugenia and Trautmann, Christina and Hess, Christian and Ruff, Philip and Schulze, Marcus and Stark, Robert and Buntkowsky, Gerd and Andrieu-Brunsen, Annette and Gutmann, Torsten :
Surface Enhanced DNP Assisted Solid-State NMR of Functionalized SiO2 Coated Polycarbonate Membranes.
[Online-Edition: https://doi.org/10.1515/zpch-2017-1032]
In: Zeitschrift für Physikalische Chemie, 232 (7-8) pp. 1173-1186. ISSN 0942-9352
[Article] , (2018)

Official URL: https://doi.org/10.1515/zpch-2017-1032

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.

Item Type: Article
Erschienen: 2018
Creators: Kumari, Bharti and John, Daniel and Hoffmann, Paul and Spende, Anne and Toimil-Molares, Maria Eugenia and Trautmann, Christina and Hess, Christian and Ruff, Philip and Schulze, Marcus and Stark, Robert and Buntkowsky, Gerd and Andrieu-Brunsen, Annette and Gutmann, Torsten
Title: Surface Enhanced DNP Assisted Solid-State NMR of Functionalized SiO2 Coated Polycarbonate Membranes
Language: English
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.

Journal or Publication Title: Zeitschrift für Physikalische Chemie
Volume: 232
Number: 7-8
Publisher: de Gruyter
Uncontrolled Keywords: dynamic nuclear polarization, etched ion-track membranes, silica coating, solid-state NMR, surface analysis
Divisions: 11 Department of Materials and Earth Sciences
11 Department of Materials and Earth Sciences > Material Science
11 Department of Materials and Earth Sciences > Material Science > Ion-Beam-Modified Materials
11 Department of Materials and Earth Sciences > Material Science > Physics of Surfaces
07 Fachbereich Chemie
07 Fachbereich Chemie > Fachgebiet Makromolekulare Chemie
07 Fachbereich Chemie > Physical Chemistry
Date Deposited: 28 May 2018 05:39
DOI: 10.1515/zpch-2017-1032
Official URL: https://doi.org/10.1515/zpch-2017-1032
Funders: This work has been supported by the DFG under contract Bu 911/20-1 (DNP spectrometer) and FOR1583 Grant Nos. Bu 911-18-2, HE 4515/4-2., The authors further thank the project iNAPO by the Hessen State Ministry of Higher Education, Research and the Arts for financial support.
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