Simplified Polydispersion Analysis of Small-Angle Scattering Data

With polydisperse inhomogeneities, the analysis of small-angle scattering (SAS) data is possible by fitting the experimental data to theoretical models. Despite scientific software being available for this task, many scientists in different fields prefer other techniques for their investigations. Wi...

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Main Author: Flavio Carsughi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/20/10677
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author Flavio Carsughi
author_facet Flavio Carsughi
author_sort Flavio Carsughi
collection DOAJ
description With polydisperse inhomogeneities, the analysis of small-angle scattering (SAS) data is possible by fitting the experimental data to theoretical models. Despite scientific software being available for this task, many scientists in different fields prefer other techniques for their investigations. With the simplified polydispersion analysis (SPA) presented here, it is possible to analyse the SAS data in a much simpler way. A straightforward interpolation of SAS data using any commercial software, requiring no advanced computational skills, allows the determination of the size distribution function (SDF) of the polydisperse inhomogeneities. Here, this innovative approach was tested against simulated SAS data of spherical inhomogeneities, as well as experimental data with excellent results. The results reported here offer new opportunities for many scientists to use the SAS technique to investigate polydisperse systems.
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spelling doaj.art-c4fae7baeffd43549159933dbf1d30242023-11-23T22:48:37ZengMDPI AGApplied Sciences2076-34172022-10-0112201067710.3390/app122010677Simplified Polydispersion Analysis of Small-Angle Scattering DataFlavio Carsughi0Forschungszentrum Jülich GmbH, 52428 Jülich, GermanyWith polydisperse inhomogeneities, the analysis of small-angle scattering (SAS) data is possible by fitting the experimental data to theoretical models. Despite scientific software being available for this task, many scientists in different fields prefer other techniques for their investigations. With the simplified polydispersion analysis (SPA) presented here, it is possible to analyse the SAS data in a much simpler way. A straightforward interpolation of SAS data using any commercial software, requiring no advanced computational skills, allows the determination of the size distribution function (SDF) of the polydisperse inhomogeneities. Here, this innovative approach was tested against simulated SAS data of spherical inhomogeneities, as well as experimental data with excellent results. The results reported here offer new opportunities for many scientists to use the SAS technique to investigate polydisperse systems.https://www.mdpi.com/2076-3417/12/20/10677small-angle scatteringpolydispersion analysis
spellingShingle Flavio Carsughi
Simplified Polydispersion Analysis of Small-Angle Scattering Data
Applied Sciences
small-angle scattering
polydispersion analysis
title Simplified Polydispersion Analysis of Small-Angle Scattering Data
title_full Simplified Polydispersion Analysis of Small-Angle Scattering Data
title_fullStr Simplified Polydispersion Analysis of Small-Angle Scattering Data
title_full_unstemmed Simplified Polydispersion Analysis of Small-Angle Scattering Data
title_short Simplified Polydispersion Analysis of Small-Angle Scattering Data
title_sort simplified polydispersion analysis of small angle scattering data
topic small-angle scattering
polydispersion analysis
url https://www.mdpi.com/2076-3417/12/20/10677
work_keys_str_mv AT flaviocarsughi simplifiedpolydispersionanalysisofsmallanglescatteringdata