The DOI matches its Crossref record.
Nanostructure of Diatom Silica Surfaces and of Biomimetic Analogues
Abstract
Diatoms generate their cell walls by silica biomineralization. The cell walls are composed of silica and organic macromolecules and show a complex microscopic structure. Analysis of this structure by different atomic force microscopy (AFM) techniques revealed an unexpected nanostructured granular surface. Silaffins, proteins that are posttranslationally modified with long-chain polyamines, and oligo- N -methyl-propyleneamines were identified as the main organic constituents of diatom biosilica. 1 Silaffins as well as free propyleneamines of different chain lengths induce rapid precipitation of nanosized particles from silicic acid solutions in vitro. In a biomimetic approach, we reacted aqueous silicic acid solution with tripropylenetetramine in CHCl 3 in a biphasic system. As a result, thin nanostructured silica layers that show a granular nanostructure very similar to that of the diatom cell walls were obtained. This finding may serve as a good model to study the mechanisms that lead to the nanostructure of the diatom cell walls.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
An Overview of Biomineralization Processes and the Problem of the Vital Effect
Weiner, S. (2003) · Reviews in Mineralogy and Geochemistry · doi:10.2113/0540001 · Cited by 1,022
Interactions between Metal Oxides and Biomolecules: from Fundamental Understanding to Applications
Limo, M. J., Sola-Rabada, A., Boix, E., Thota, V., Westcott, Z. C., Puddu, V., & Perry, C. C. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00660 · Cited by 287
Ehrlich, H., Demadis, K. D., Pokrovsky, O. S., & Koutsoukos, P. G. (2010) · Chemical Reviews · doi:10.1021/cr900334y · Cited by 275
Metadata
- Authors
- Noll, F., Sumper, M., & Hampp, N.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-01-11
- Volume
- 2
- Issue
- 2
- Pages
- 91-95
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2072367592
- Cited by
- 159
- References
- 0
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nanostructure of Diatom Silica Surfaces and of Biomimetic Analogues. https://app.cochat.ai/papers/10.1021/nl015581k
- The paper
- Noll, F., Sumper, M., & Hampp, N. (2002). Nanostructure of Diatom Silica Surfaces and of Biomimetic Analogues. Nano Letters. https://doi.org/10.1021/nl015581k
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.
