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Cited by 267

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

Luminescent Silica Nanoparticles: Extending the Frontiers of Brightness

Bonacchi, Sara, Genovese, Damiano, Juris, Riccardo, Montalti, Marco, Prodi, Luca, Rampazzo, Enrico, Zaccheroni, Nelsi·2011·Angewandte Chemie International Edition

Abstract

Silica nanoparticles are versatile platforms with many intrinsic features, such as low toxicity. Proper design and derivatization yields particularly stable colloids, even in physiological conditions, and provides them with multiple functions. A suitable choice of dyes and synthetic strategy may, in particular, yield a very bright nanosystem. Silica nanoparticles thus offer unique potential in the nanotechnology arena, and further improvement and optimization could substantially increase their application in fields of high social and economic impact, such as medical diagnostics and therapy, environmental and food analysis, and security. This paper describes silica‐based, multicomponent nanosystems with intrinsic directional energy‐ and electron‐transfer processes, on which highly valued functions like light harvesting and signal amplification are based.

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Crossref · 10.1002/anie.201004996

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Metadata

Authors
Bonacchi, S., Genovese, D., Juris, R., Montalti, M., Prodi, L., Rampazzo, E., & Zaccheroni, N.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2011-03-25
Volume
50
Issue
18
Pages
4056-4066
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W1988764395
Cited by
267
References
1
FWCI
16.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Luminescent Silica Nanoparticles: Extending the Frontiers of Brightness. https://app.cochat.ai/papers/10.1002/anie.201004996
The paper
Bonacchi, S., Genovese, D., Juris, R., Montalti, M., Prodi, L., Rampazzo, E., & Zaccheroni, N. (2011). Luminescent Silica Nanoparticles: Extending the Frontiers of Brightness. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201004996

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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.