Stochastic model analysis of nanoparticle size polydispersity

Authors

    Authors

    J. P. Brennan; X. Liu; Q. Dai; J. G. Worden;Q. Huo

    Comments

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    Abbreviated Journal Title

    J. Comput. Theor. Nanosci.

    Keywords

    nanoparticle; reaction kinetics; Brust-Schiffrin reaction; Markov; process; Stochastic model; ENCAPSULATED GOLD NANOPARTICLES; PHASE SYNTHESIS APPROACH; CONTROLLED; FUNCTIONALIZATION; CLUSTER MOLECULES; GROWTH; NANOCRYSTALS; CHEMISTRY; EVOLUTION; KINETICS; NM; Chemistry, Multidisciplinary; Nanoscience & Nanotechnology; Materials; Science, Multidisciplinary; Physics, Applied; Physics, Condensed Matter

    Abstract

    Nanoparticle synthesis by wet chemical methods is a rather complicated process. Despite the enormous success achieved in the chemical synthesis of a wide range of nanoparticle materials, the understanding of nanoparticles growth in solution at the theoretical level is still very limited. Recently we conducted a study on the reaction kinetics of chemical synthesis of gold nanoparticles based on Brust-Schiffrin reaction. Two models were proposed to compare with the experimental data. One is a simple first-order reaction kinetic as has been used in other reported work and another one is an incremental addition model proposed in our study. While both models gave similar level of curve fitting with experimental data, the two models also showed some clear differences. In this study, we further investigated the polydispersity of nanoparticles by treating particle growth as a Markov process. We defined and solved the stochastic version of both kinetic models. The polydispersity values predicted by these two models are smaller than the experimentally observed data, however, the incremental addition model revealed a significantly larger polydispersity than the first order reaction kinetic model. The difference between modeling and experimental results suggests that other mechanisms such as particle-particle aggregation should exist and have major effect on particles size distribution. This study elucidates quantitatively the contribution of certain reaction pathways towards nanoparticle polydispersity.

    Journal Title

    Journal of Computational and Theoretical Nanoscience

    Volume

    3

    Issue/Number

    3

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    417

    Last Page

    422

    WOS Identifier

    WOS:000238923900011

    ISSN

    1546-1955

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