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Electromigration separation methodologies for the characterization of nanoparticles and the evaluation of their behaviour in biological systems
•CE shows high resolution, short analysis time, low sample consumption and mimics in vivo conditions.•Physicochemical parameters can be accurately obtained from mobility by using mathematical models.•Characterization of NPs in biological conditions helps for their design for biomedical purpose.•CE h...
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Published in: | TrAC, Trends in analytical chemistry (Regular ed.) Trends in analytical chemistry (Regular ed.), 2016-11, Vol.84, p.121-130 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •CE shows high resolution, short analysis time, low sample consumption and mimics in vivo conditions.•Physicochemical parameters can be accurately obtained from mobility by using mathematical models.•Characterization of NPs in biological conditions helps for their design for biomedical purpose.•CE has demonstrated to be indispensable for the evaluation of NP-biomolecule interactions.•Coupling CE with sensitive detectors is a way to improve the NPs characterization
The use of nanoparticles (NPs) for biomedical applications implies the knowledge of different physicochemical parameters in physiologically relevant media. Electromigration separation methods have demonstrated to be powerful analytical tools for the separation and whole characterization of such NPs as well as to help in the design and control of NPs synthesis and surface modification processes. The different working modes exploited at this date to obtain complementary information about colloidal NP properties such as size, ζ-potential, surface charge density, grafting rates and binding parameters as well as their colloidal stability in different media are reviewed in this work. We put particular emphasis on the electromigration separation methods developed for NPs used in biomedical sciences that help to predict the behaviour of such objects in the biological systems. Finally some perspectives and research lines envisaged in this domain are proposed. |
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ISSN: | 0165-9936 1879-3142 0165-9936 |
DOI: | 10.1016/j.trac.2016.04.022 |