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Cited by 607

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Permeable Silica Shell through Surface-Protected Etching

Zhang, Qiao, Zhang, Tierui, Ge, Jianping, Yin, Yadong·2008·Nano Letters

Abstract

We describe a "surface-protected etching" strategy that allows convenient conversion of sol-gel derived silica into porous structures. Poly(vinyl pyrrolidone) is used to protect the near surface layer, and NaOH is used to selectively etch the interior of the silica spheres. Etching initially yields porous structures and eventually removes the core to leave behind hollow silica spheres with porous shells. This strategy is useful for constructing core-shell systems where active nanomaterials are embedded in silica shell for enhanced stability against aggregation. We experimentally demonstrate use of the surface-protected etching approach to create openings on silica shells; these openings allow dissolved chemical species to reach embedded catalytic particles to be chemically transformed while the porous shells continue to act as effective barriers against aggregation and loss of activity of the core particles. We also show that, by controlling the extent of etching, it is possible to control the permeation rate of the chemical species through the shells.

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Crossref · 10.1021/nl8016187

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Metadata

Authors
Zhang, Q., Zhang, T., Ge, J., & Yin, Y.
Venue
Nano Letters
Published
2008-08-12
Volume
8
Issue
9
Pages
2867-2871
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2077891697
Cited by
607
References
14
FWCI
14.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Permeable Silica Shell through Surface-Protected Etching. https://app.cochat.ai/papers/10.1021/nl8016187
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Zhang, Q., Zhang, T., Ge, J., & Yin, Y. (2008). Permeable Silica Shell through Surface-Protected Etching. Nano Letters. https://doi.org/10.1021/nl8016187

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.