Cargando…
Efficient solution of particle shape functions for the analysis of powder total scattering data
Structural characterization of powder samples via total scattering methods, in either real or reciprocal space, must take into account the effect of particle shape. Here, the shape contribution of a set of ideally isolated particles to the small-angle scattering (SAS) component of the intensity prof...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985607/ https://www.ncbi.nlm.nih.gov/pubmed/35497652 http://dx.doi.org/10.1107/S1600576722001261 |
_version_ | 1784682395071414272 |
---|---|
author | Leonardi, Alberto Neder, Reinhard Engel, Michael |
author_facet | Leonardi, Alberto Neder, Reinhard Engel, Michael |
author_sort | Leonardi, Alberto |
collection | PubMed |
description | Structural characterization of powder samples via total scattering methods, in either real or reciprocal space, must take into account the effect of particle shape. Here, the shape contribution of a set of ideally isolated particles to the small-angle scattering (SAS) component of the intensity profile is modelled using the shape function [Svergun & Koch (2003). Rep. Prog. Phys. 66, 1735–1782]. The shape function is obtained by orientational averaging of common volume functions (CVFs) for a discrete set of directions. The effects of particle size and size dispersity are accounted for via scaling of the CVFs and their convolution with the underlying probability distribution. The method is applied to shapes with CVFs expressed analytically or by using discrete tables. The accurate calculation of SAS particle shape contributions up to large momentum transfer demonstrates the reliability and flexibility of modelling shape functions from sets of CVFs. The algorithm presented here is computationally efficient and can be directly incorporated into existing routines for analysis of powder total scattering data. |
format | Online Article Text |
id | pubmed-8985607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-89856072022-04-28 Efficient solution of particle shape functions for the analysis of powder total scattering data Leonardi, Alberto Neder, Reinhard Engel, Michael J Appl Crystallogr Research Papers Structural characterization of powder samples via total scattering methods, in either real or reciprocal space, must take into account the effect of particle shape. Here, the shape contribution of a set of ideally isolated particles to the small-angle scattering (SAS) component of the intensity profile is modelled using the shape function [Svergun & Koch (2003). Rep. Prog. Phys. 66, 1735–1782]. The shape function is obtained by orientational averaging of common volume functions (CVFs) for a discrete set of directions. The effects of particle size and size dispersity are accounted for via scaling of the CVFs and their convolution with the underlying probability distribution. The method is applied to shapes with CVFs expressed analytically or by using discrete tables. The accurate calculation of SAS particle shape contributions up to large momentum transfer demonstrates the reliability and flexibility of modelling shape functions from sets of CVFs. The algorithm presented here is computationally efficient and can be directly incorporated into existing routines for analysis of powder total scattering data. International Union of Crystallography 2022-03-18 /pmc/articles/PMC8985607/ /pubmed/35497652 http://dx.doi.org/10.1107/S1600576722001261 Text en © Alberto Leonardi et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Leonardi, Alberto Neder, Reinhard Engel, Michael Efficient solution of particle shape functions for the analysis of powder total scattering data |
title | Efficient solution of particle shape functions for the analysis of powder total scattering data |
title_full | Efficient solution of particle shape functions for the analysis of powder total scattering data |
title_fullStr | Efficient solution of particle shape functions for the analysis of powder total scattering data |
title_full_unstemmed | Efficient solution of particle shape functions for the analysis of powder total scattering data |
title_short | Efficient solution of particle shape functions for the analysis of powder total scattering data |
title_sort | efficient solution of particle shape functions for the analysis of powder total scattering data |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985607/ https://www.ncbi.nlm.nih.gov/pubmed/35497652 http://dx.doi.org/10.1107/S1600576722001261 |
work_keys_str_mv | AT leonardialberto efficientsolutionofparticleshapefunctionsfortheanalysisofpowdertotalscatteringdata AT nederreinhard efficientsolutionofparticleshapefunctionsfortheanalysisofpowdertotalscatteringdata AT engelmichael efficientsolutionofparticleshapefunctionsfortheanalysisofpowdertotalscatteringdata |