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Divalent Metal Nanoparticles
Open accessAbstract
Nanoparticles can be used as the building blocks for materials such as supracrystals or ionic liquids. However, they lack the ability to bond along specific directions as atoms and molecules do. We report a simple method to place target molecules specifically at two diametrically opposed positions in the molecular coating of metal nanoparticles. The approach is based on the functionalization of the polar singularities that must form when a curved surface is coated with ordered monolayers, such as a phase-separated mixture of ligands. The molecules placed at these polar defects have been used as chemical handles to form nanoparticle chains that in turn can generate self-standing films.
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Citations
Cited by
Thermodynamics versus Kinetics in Nanosynthesis
Wang, Y., He, J., Liu, C., Chong, W. H., & Chen, H. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201402986 · Cited by 497
Synthesis of Biocompatible Dextran‐Coated Nanoceria with pH‐Dependent Antioxidant Properties
Perez, J. M., Asati, A., Nath, S., & Kaittanis, C. (2008) · Small · doi:10.1002/smll.200700824 · Cited by 396
Metadata
- Authors
- DeVries, G. A., Brunnbauer, M., Hu, Y., Jackson, A. M., Long, B., Neltner, B. T., Uzun, O., Wunsch, B. H., & Stellacci, F.
- Venue
- Science
- Published
- 2007-01-19
- Volume
- 315
- Issue
- 5810
- Pages
- 358-361
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2066019921
- Cited by
- 626
- References
- 0
- FWCI
- 39.02
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Divalent Metal Nanoparticles. https://app.cochat.ai/papers/10.1126/science.1133162
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- DeVries, G. A., Brunnbauer, M., Hu, Y., Jackson, A. M., Long, B., Neltner, B. T., Uzun, O., Wunsch, B. H., & Stellacci, F. (2007). Divalent Metal Nanoparticles. Science. https://doi.org/10.1126/science.1133162
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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.
