Modelling and validation of particle size distributions of supported nanoparticles using the pair distribution function technique

Gamez-Mendoza, Liliana; Terban, Maxwell W.; Billinge, Simon J. L.; Martinez-Inesta, Maria

doi:10.1107/S1600576717003715

Title: Modelling and validation of particle size distributions of supported nanoparticles using the pair distribution function technique

Journal Article · Thu Apr 13 00:00:00 EDT 2017 · Journal of Applied Crystallography (Online)

DOI:https://doi.org/10.1107/S1600576717003715· OSTI ID:1357953

^[1];

^[2];

^[3]; Martinez-Inesta, Maria ^[1]

Univ. of Puerto Rico, Mayaguez (Puerto Rico)
Columbia Univ., New York, NY (United States)
Columbia Univ., New York, NY (United States); Brookhaven National Lab. (BNL), Upton, NY (United States)

The particle size of supported catalysts is a key characteristic for determining structure–property relationships. It is a challenge to obtain this information accurately and in situ using crystallographic methods owing to the small size of such particles (<5 nm) and the fact that they are supported. In this work, the pair distribution function (PDF) technique was used to obtain the particle size distribution of supported Pt catalysts as they grow under typical synthesis conditions. The PDF of Pt nanoparticles grown on zeolite X was isolated and refined using two models: a monodisperse spherical model (single particle size) and a lognormal size distribution. The results were compared and validated using scanning transmission electron microscopy (STEM) results. Both models describe the same trends in average particle size with temperature, but the results of the number-weighted lognormal size distributions can also accurately describe the mean size and the width of the size distributions obtained from STEM. Since the PDF yields crystallite sizes, these results suggest that the grown Pt nanoparticles are monocrystalline. As a result, this work shows that refinement of the PDF of small supported monocrystalline nanoparticles can yield accurate mean particle sizes and distributions.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC00112704

OSTI ID:: 1357953

Report Number(s):: BNL-113663-2017-JA; JACGAR; R&D Project: PM032; KC0202010

Journal Information:: Journal of Applied Crystallography (Online), Vol. 50, Issue 3; ISSN 1600-5767

Publisher:: International Union of CrystallographyCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 20 works

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