The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Techniques for physicochemical characterization of nanomaterials
Open accessAbstract
Advances in nanotechnology have opened up a new era of diagnosis, prevention and treatment of diseases and traumatic injuries. Nanomaterials, including those with potential for clinical applications, possess novel physicochemical properties that have an impact on their physiological interactions, from the molecular level to the systemic level. There is a lack of standardized methodologies or regulatory protocols for detection or characterization of nanomaterials. This review summarizes the techniques that are commonly used to study the size, shape, surface properties, composition, purity and stability of nanomaterials, along with their advantages and disadvantages. At present there are no FDA guidelines that have been developed specifically for nanomaterial based formulations for diagnostic or therapeutic use. There is an urgent need for standardized protocols and procedures for the characterization of nanoparticles, especially those that are intended for use as theranostics.
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Cites
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Nanomaterials for Wound Healing and Infection Control
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Current Research on Silver Nanoparticles: Synthesis, Characterization, and Applications
Dawadi, S., Katuwal, S., Gupta, A., Lamichhane, U., Thapa, R., Jaisi, S., Lamichhane, G., Bhattarai, D. P., & Parajuli, N. (2021) · Journal of Nanomaterials · doi:10.1155/2021/6687290 · Cited by 399
Metadata
- Authors
- Lin, P.-C., Lin, S., Wang, P. C., & Sridhar, R.
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 32
- Issue
- 4
- Pages
- 711-726
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W2115524611
- Cited by
- 708
- References
- 7
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- green
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- Lin, P.-C., Lin, S., Wang, P. C., & Sridhar, R. (2014). Techniques for physicochemical characterization of nanomaterials. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2013.11.006
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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.