Covalent transfer of chemical gradients onto a graphenic surface with 2D and 3D control.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
16 Nov 2022
Historique:
received: 02 04 2022
accepted: 02 11 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 18 11 2022
Statut: epublish

Résumé

Control over the functionalization of graphenic materials is key to enable their full application in electronic and optical technologies. Covalent functionalization strategies have been proposed as an approach to tailor the interfaces' structure and properties. However, to date, none of the proposed methods allow for a covalent functionalization with control over the grafting density, layer thickness and/or morphology, which are key aspects for fine-tuning the processability and performance of graphenic materials. Here, we show that the no-slip boundary condition at the walls of a continuous flow microfluidic device offers a way to generate controlled chemical gradients onto a graphenic material with 2D and 3D control, a possibility that will allow the sophisticated functionalization of these technologically-relevant materials.

Identifiants

pubmed: 36384990
doi: 10.1038/s41467-022-34684-w
pii: 10.1038/s41467-022-34684-w
pmc: PMC9668971
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7006

Subventions

Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 677020
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 200021_181988
Organisme : Ministerio de Ciencia, Tecnología y Medio Ambiente (Ministry of Science, Technology and Environment)
ID : PID2020-116612RB-C33

Informations de copyright

© 2022. The Author(s).

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Auteurs

Yuanzhi Xia (Y)

Department of Chemistry, Division of Molecular Imaging and Photonics, KU Leuven, Leuven, Belgium.

Semih Sevim (S)

Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.

João Pedro Vale (JP)

Transport Phenomena Research Centre (CEFT), Engineering Faculty of Porto University, Porto, Portugal.
Associate Laboratory in Chemical Engineering (ALiCE), Engineering Faculty of Porto University, Porto, Portugal.

Johannes Seibel (J)

Department of Chemistry, Division of Molecular Imaging and Photonics, KU Leuven, Leuven, Belgium.

David Rodríguez-San-Miguel (D)

Departament de Ciència dels Materials i Química Física, Institut de Química Teòrica i Computacional, University of Barcelona (UB), Barcelona, Spain.

Donghoon Kim (D)

Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.

Salvador Pané (S)

Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.

Tiago Sotto Mayor (TS)

Transport Phenomena Research Centre (CEFT), Engineering Faculty of Porto University, Porto, Portugal. tiago.sottomayor@fe.up.pt.
Associate Laboratory in Chemical Engineering (ALiCE), Engineering Faculty of Porto University, Porto, Portugal. tiago.sottomayor@fe.up.pt.

Steven De Feyter (S)

Department of Chemistry, Division of Molecular Imaging and Photonics, KU Leuven, Leuven, Belgium. steven.defeyter@kuleuven.be.

Josep Puigmartí-Luis (J)

Departament de Ciència dels Materials i Química Física, Institut de Química Teòrica i Computacional, University of Barcelona (UB), Barcelona, Spain. josep.puigmarti@ub.edu.
Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain. josep.puigmarti@ub.edu.

Classifications MeSH