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Cited by 721

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Engineering Silicon Oxide Surfaces Using Self‐Assembled Monolayers

Open access
Onclin, Steffen, Ravoo, Bart Jan, Reinhoudt, David N.·2005·Angewandte Chemie International Edition

Abstract

Although a molecular monolayer is only a few nanometers thick it can completely change the properties of a surface. Molecular monolayers can be readily prepared using the Langmuir–Blodgett methodology or by chemisorption on metal and oxide surfaces. This Review focuses on the use of chemisorbed self‐assembled monolayers (SAMs) as a platform for the functionalization of silicon oxide surfaces. The controlled organization of molecules and molecular assemblies on silicon oxide will have a prominent place in “bottom‐up” nanofabrication, which could revolutionize fields such as nanoelectronics and biotechnology in the near future. In recent years, self‐assembled monolayers on silicon oxide have reached a high level of sophistication and have been combined with various lithographic patterning methods to develop new nanofabrication protocols and biological arrays. Nanoscale control over surface properties is of paramount importance to advance from 2D patterning to 3D fabrication.

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Crossref · 10.1002/anie.200500633

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Metadata

Authors
Onclin, S., Ravoo, B. J., & Reinhoudt, D. N.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2005-09-30
Volume
44
Issue
39
Pages
6282-6304
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2102498367
Cited by
721
References
93
FWCI
41.63
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Engineering Silicon Oxide Surfaces Using Self‐Assembled Monolayers. https://app.cochat.ai/papers/10.1002/anie.200500633
The paper
Onclin, S., Ravoo, B. J., & Reinhoudt, D. N. (2005). Engineering Silicon Oxide Surfaces Using Self‐Assembled Monolayers. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200500633

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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