The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Nanoparticle Characterization: What to Measure?
Open accessAbstract
What to measure? is a key question in nanoscience, and it is not straightforward to address as different physicochemical properties define a nanoparticle sample. Most prominent among these properties are size, shape, surface charge, and porosity. Today researchers have an unprecedented variety of measurement techniques at their disposal to assign precise numerical values to those parameters. However, methods based on different physical principles probe different aspects, not only of the particles themselves, but also of their preparation history and their environment at the time of measurement. Understanding these connections can be of great value for interpreting characterization results and ultimately controlling the nanoparticle structure–function relationship. Here, the current techniques that enable the precise measurement of these fundamental nanoparticle properties are presented and their practical advantages and disadvantages are discussed. Some recommendations of how the physicochemical parameters of nanoparticles should be investigated and how to fully characterize these properties in different environments according to the intended nanoparticle use are proposed. The intention is to improve comparability of nanoparticle properties and performance to ensure the successful transfer of scientific knowledge to industrial real‐world applications.
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Cites
Principles of nanoparticle design for overcoming biological barriers to drug delivery
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Diverse Applications of Nanomedicine
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Weighing of biomolecules, single cells and single nanoparticles in fluid
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Self-citationComplement proteins bind to nanoparticle protein corona and undergo dynamic exchange in vivo
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Self-citationDirect Observation of Interactions between Nanoparticles and Nanoparticle Self-Assembly in Solution
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Cited by
Mendes, B. B., Conniot, J., Avital, A., Yao, D., Jiang, X., Zhou, X., Sharf-Pauker, N., Xiao, Y., Adir, O., Liang, H., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00104-y · Cited by 719
Metallodrugs in cancer nanomedicine
Peña, Q., Wang, A., Zaremba, O., Shi, Y., Scheeren, H. W., Metselaar, J. M., Kiessling, F., Pallares, R. M., Wuttke, S., & Lammers, T. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00468a · Cited by 259
Self-citationDeep learning for automated size and shape analysis of nanoparticles in scanning electron microscopy
Bals, J., & Epple, M. (2023) · RSC Advances · doi:10.1039/d2ra07812k · Cited by 93
Parsaee, S., Jahani, N., Salehiniya, H., & Raeison, M. (2024) · Journal of Breast Diseases · doi:10.61186/ijbd.17.1.84
Metadata
- Authors
- Modena, M. M., Rühle, B., Burg, T. P., & Wuttke, S.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-05-30
- Volume
- 31
- Issue
- 32
- Pages
- e1901556-e1901556
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2946957142
- Cited by
- 498
- References
- 9
- FWCI
- 14.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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