The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Nanoparticles in Biological Systems
Abstract
Understanding the behavior of nanoparticles in biological systems opens up new directions for medical treatments and is essential for the development of safe nanotechnology. This Review discusses molecules and nanoparticles when in contact with cells or whole organisms, with a focus on inorganic materials. The interaction of particles with biology unravels a series of new mechanisms not found for molecules: altered biodistribution, chemically reactive interfaces, and the combination of solid‐state properties and mobility. Externally guided movement of medicaments by using functional nanomagnets brings mechanics into drug design. In subsequent sections, the role of inertness and bioaccumulation is discussed in regard to the long‐term safety of nanoparticles.
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Cites
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Cited by
Joudeh, N., & Linke, D. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01477-8 · Cited by 1,908
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
Engineered nanoparticles interacting with cells: size matters
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Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
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Metadata
- Authors
- Stark, W. J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2011-01-10
- Volume
- 50
- Issue
- 6
- Pages
- 1242-1258
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2041771455
- Cited by
- 535
- References
- 15
- FWCI
- 25.19
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
