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Cited by 325

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Biomimetic Templating of Porous Lamellar Silicas by Vesicular Surfactant Assemblies

Tanev, Peter T., Pinnavaia, Thomas J.·1996·Science

Abstract

A biomimetic templating approach to the synthesis of lamellar silicas is demonstrated. The procedure is based on the hydrolysis and cross-linking of a neutral silicon alkoxide precursor in the interlayered regions of multilamellar vesicles formed from a neutral diamine bola-amphiphile. Unlike earlier surfactant-templating approaches, this method produces porous lamellar silicas (designated MSU-V) with vesicular particle morphology, exceptional thermal stability, a high degree of framework cross-linking, unusually high specific surface area and pore volume, and sorption properties that are typical of pillared lamellar materials. This approach circumvents the need for a separate pillaring step in building porosity into a lamellar host structure and offers new opportunities for the direct fabrication of adsorbents, catalysts, and nanoscale devices.

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Crossref · 10.1126/science.271.5253.1267

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Metadata

Authors
Tanev, P. T., & Pinnavaia, T. J.
Venue
Science
Published
1996-03
Volume
271
Issue
5253
Pages
1267-1269
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1974361243
Cited by
325
References
1
FWCI
17.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biomimetic Templating of Porous Lamellar Silicas by Vesicular Surfactant Assemblies. https://app.cochat.ai/papers/10.1126/science.271.5253.1267
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Tanev, P. T., & Pinnavaia, T. J. (1996). Biomimetic Templating of Porous Lamellar Silicas by Vesicular Surfactant Assemblies. Science. https://doi.org/10.1126/science.271.5253.1267

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.