Local Surface Chemistry Dynamically Monitored by Quantitative Phase Microscopy.

diazonium salts glass functionalization operando monitoring photografting quantitative phase imaging

Journal

Small methods
ISSN: 2366-9608
Titre abrégé: Small Methods
Pays: Germany
ID NLM: 101724536

Informations de publication

Date de publication:
01 2022
Historique:
revised: 26 10 2021
received: 30 06 2021
entrez: 18 1 2022
pubmed: 19 1 2022
medline: 19 1 2022
Statut: ppublish

Résumé

Surface modification by photo grafting constitutes an interesting strategy to prepare functional surfaces. Precision applications, however, demand quantitative methods able to monitor and control the amount and distribution of surface modifications, which is hard to achieve, particularly in operando conditions. In this paper, a label-free, cost-effective, all-optical method based on wavefront sensing which is able to quantitatively track the evolution of grafted layers in real-time, is presented. By positioning a simple thin diffuser in the close vicinity of a camera, the thickness of grafted patterns is directly evaluated with sub-nanometric sensitivity and diffraction-limited lateral resolution. By performing an in-depth kinetic analysis of the local modification of an inert substrate (glass cover slips) through photografting of arydiazonium salts, different growth regimes are characterized and several parameters are estimated, such as the grafting efficiency, density and the apparent refractive index distribution of the resulting grafted layers. Both focused and widefield-grafting can be quantitatively monitored in real time, providing valuable guidelines to maximize functionalization efficiency. The association of a well-characterized versatile photografting reaction with the proposed flexible and sensitive monitoring strategy enables functional surfaces to be prepared, and puts surface micro- to submicro-structuration within the reach of most laboratories.

Identifiants

pubmed: 35041288
doi: 10.1002/smtd.202100737
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2100737

Subventions

Organisme : ENS Paris-Saclay
Organisme : Institut d'Alembert
Organisme : Ecole Normale Supérieure Paris-Saclay
ID : ANR-10-LABX-65
Organisme : Ecole Normale Supérieure Paris-Saclay
ID : ANR-18-IAHU-01

Informations de copyright

© 2021 Wiley-VCH GmbH.

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Auteurs

Vitor Brasiliense (V)

PPSM, CNRS UMR 5831, ENS Paris-Saclay, 4 avenue des sciences, Gif-sur-Yvette, 91190, France.

Jean-Frédéric Audibert (JF)

PPSM, CNRS UMR 5831, ENS Paris-Saclay, 4 avenue des sciences, Gif-sur-Yvette, 91190, France.

Tengfei Wu (T)

Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, F-75012, France.
Université de Paris, SPPIN-Saints-Pères Paris Institute for Neurosciences, 45 rue des Saints-Pères, Paris, 75006, France.

Gilles Tessier (G)

Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, F-75012, France.

Pascal Berto (P)

Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, F-75012, France.
Université de Paris, SPPIN-Saints-Pères Paris Institute for Neurosciences, 45 rue des Saints-Pères, Paris, 75006, France.

Fabien Miomandre (F)

PPSM, CNRS UMR 5831, ENS Paris-Saclay, 4 avenue des sciences, Gif-sur-Yvette, 91190, France.

Classifications MeSH