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Determination of nanoparticle size distribution together with density or molecular weight by 2D analytical ultracentrifugation

Author

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  • Randy P. Carney

    (Massachusetts Institute of Technology
    Institute of Materials, École Polytechnique Fédérale de Lausanne, Station 12, 1015 Lausanne, Switzerland.)

  • Jin Young Kim

    (Massachusetts Institute of Technology)

  • Huifeng Qian

    (Carnegie Melon University)

  • Rongchao Jin

    (Carnegie Melon University)

  • Hakim Mehenni

    (Center for Solar and Alternative Energy Science and Engineering, King Abdullah University of Science and Technology
    King Abdullah University of Science and Technology)

  • Francesco Stellacci

    (Massachusetts Institute of Technology
    Institute of Materials, École Polytechnique Fédérale de Lausanne, Station 12, 1015 Lausanne, Switzerland.)

  • Osman M. Bakr

    (Center for Solar and Alternative Energy Science and Engineering, King Abdullah University of Science and Technology
    King Abdullah University of Science and Technology)

Abstract

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 (ρP) 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.

Suggested Citation

  • Randy P. Carney & Jin Young Kim & Huifeng Qian & Rongchao Jin & Hakim Mehenni & Francesco Stellacci & Osman M. Bakr, 2011. "Determination of nanoparticle size distribution together with density or molecular weight by 2D analytical ultracentrifugation," Nature Communications, Nature, vol. 2(1), pages 1-8, September.
    • Handle: RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1338
    DOI: 10.1038/ncomms1338
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    Cited by:

    1. Liang Dong & Yun-Jun Xu & Cong Sui & Yang Zhao & Li-Bo Mao & Denis Gebauer & Rose Rosenberg & Jonathan Avaro & Ya-Dong Wu & Huai-Ling Gao & Zhao Pan & Hui-Qin Wen & Xu Yan & Fei Li & Yang Lu & Helmut , 2022. "Highly hydrated paramagnetic amorphous calcium carbonate nanoclusters as an MRI contrast agent," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Marcel Rey & Johannes Walter & Johannes Harrer & Carmen Morcillo Perez & Salvatore Chiera & Sharanya Nair & Maret Ickler & Alesa Fuchs & Mark Michaud & Maximilian J. Uttinger & Andrew B. Schofield & J, 2022. "Versatile strategy for homogeneous drying patterns of dispersed particles," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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