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Cited by 261

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Elucidating the Bimodal Acid−Base Behavior of the Water−Silica Interface from First Principles

Open access
Leung, Kevin, Nielsen, Ida M. B., Criscenti, Louise J.·2009·Journal of the American Chemical Society

Abstract

Understanding the acid-base behavior of silica surfaces is critical for many nanoscience and bionano interface applications. Silanol groups (SiOH) on silica surfaces exhibit two acidity constants-one as acidic as vinegar-but their structural basis remains controversial. The atomic details of the more acidic silanol site govern not just the overall surface charge density at near neutral solution pH but also how ions and biomolecules interact with and bind to silica immersed in water. Using ab initio molecular dynamics simulations and multiple representative crystalline silica surfaces, we determine the deprotonation free energies of silanol groups with different structural motifs. We show that previously proposed motifs related to chemical connectivity or intersilanol hydrogen bonds do not yield high acidity. Instead, a plausible candiate for pK(a) = 4.5 silanol groups may be found in locally strained or defected regions with sparse silanol coverage. In the process, irreversible ring-opening reactions of strained silica trimer rings in contact with liquid water are observed.

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Metadata

Authors
Leung, K., Nielsen, I. M. B., & Criscenti, L. J.
Venue
Journal of the American Chemical Society
Published
2009-11-30
Volume
131
Issue
51
Pages
18358-18365
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2043489058
Cited by
261
References
2
FWCI
5.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Elucidating the Bimodal Acid−Base Behavior of the Water−Silica Interface from First Principles. https://app.cochat.ai/papers/10.1021/ja906190t
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Leung, K., Nielsen, I. M. B., & Criscenti, L. J. (2009). Elucidating the Bimodal Acid−Base Behavior of the Water−Silica Interface from First Principles. Journal of the American Chemical Society. https://doi.org/10.1021/ja906190t

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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.