Determination of nanoparticle size distribution together with density or molecular weight by 2D analytical ultracentrifugation
Type
ArticleAuthors
Carney, Randy P.Kim, Jin Young
Qian, Huifeng
Jin, Rongchao
Mehenni, Hakim
Stellacci, Francesco
Bakr, Osman

KAUST Department
Functional Nanomaterials Lab (FuNL)KAUST Catalysis Center (KCC)
KAUST Solar Center (KSC)
Material Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2011-06-07Online Publication Date
2011-06-07Print Publication Date
2011-09Permanent link to this record
http://hdl.handle.net/10754/325302
Metadata
Show full item recordAbstract
Nanoparticles are finding many research and industrial applications, yet their characterization remains a challenge. Their cores are often polydisperse and coated by a stabilizing shell that varies in size and composition. No single technique can characterize both the size distribution and the nature of the shell. Advances in analytical ultracentrifugation allow for the extraction of the sedimentation (s) and diffusion coefficients (D). Here we report an approach to transform the s and D distributions of nanoparticles in solution into precise molecular weight (M), density (?P) and particle diameter (dp) distributions. M for mixtures of discrete nanocrystals is found within 4% of the known quantities. The accuracy and the density information we achieve on nanoparticles are unparalleled. A single experimental run is sufficient for full nanoparticle characterization, without the need for standards or other auxiliary measurements. We believe that our method is of general applicability and we discuss its limitations. 2011 Macmillan Publishers Limited. All rights reserved.Citation
Carney RP, Kim JY, Qian H, Jin R, Mehenni H, et al. (2011) Determination of nanoparticle size distribution together with density or molecular weight by 2D analytical ultracentrifugation. Nature Communications 2: 335. doi:10.1038/ncomms1338.Publisher
Springer NatureJournal
Nature CommunicationsPubMed ID
21654635PubMed Central ID
PMC3158653ae974a485f413a2113503eed53cd6c53
10.1038/ncomms1338
Scopus Count
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