X-ray to visible light scattering by fractal agglomerates: A model comparison applied to soot

Characterizing nanoparticles in terms of size and morphology is essential to understand their physical and optical properties. Small or Ultra Small-Angle X-ray Scattering (SAXS/USAXS) is a powerful in situ technique that allows the analysis of such nanostructures exhibiting size and morphology through the Guinier and Porod regimes, which can be repeated at different scales (e.g., primary spheres and Agglomerates for mass fractal agglomerates, as focused on in this study). This is the principle of the widely used Beaucage’s unified model, built in reciprocal q -space (the momentum transfer or scattering wave vector) in order to interpret experimental results. An alternative method based on pair correlation modeling can be used. Indeed, by definition, the scattered signal corresponds to the Fourier transform of the particles’ pair correlation function. The present study compares the two approaches for fractal agglomerates of point-contact spheres. It is shown that the Beaucage’s model is limited to agglomerates consisting of a large number of primary spheres and that certain destructive interferences, not taken into account in this model, can affect data inversion, potentially affecting the extraction of the primary sphere size distribution. In this work, both models are compared in the direct way applied on synthetic data, and used to invert experimental SAXS data from soot particles in a laminar ethylene diffusion flame measured at the European Synchrotron Radiation Facility (ESRF) and processed via Abel inversion. This study puts in evidence the fundamental differences between both models and highlight their respective limitations. Nevertheless, both models provide similar results except for the mass fractal dimension and primary sphere geometric standard deviation. The present study demonstrates thus the potential of the pair correlation modelling and encourages its further development. • A critical analysis and comparison is carried out between unified scaling approaches, commonly used in interpreting electromagnetic wave scattering signals in visible or X-ray ranges, and a more rigorous method based on modeling the pair correlation function. • The results highlight a significant shortcomings in classical modeling, particularly its neglect of destructive interference effects that crucially influence the amplitude and slope of modeled signals. • A new expression for the polydispersity index (PDI) tailored for lognormal distributions is introduce. • The application of Abel inversion to scattering spectra in laminar diffusion flames has a strong impact on inverted parameters. • Applying both models to experimental data obtained by small-angle X-ray scattering (SAXS) reveals significant impacts on most of the measured parameters when the new expression for PDI is taken into account.

Authors

Institutions

Publication Details

Journal
Journal of Quantitative Spectroscopy and Radiative Transfer
Published
2026-02-13
DOI
https://doi.org/10.1016/j.jqsrt.2026.109860
Primary Topic
Coagulation and Flocculation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

X-ray to visible light scattering by fractal agglomerates: A model comparison applied to soot

Guillaume Lefèvre, Michael Sztucki, Jerôme Yon, Marek Mazur et al.
Journal of Quantitative Spectroscopy and Radiative Transfer
Coagulation and Flocculation Studies
article

X-ray to visible light scattering by fractal agglomerates: A model comparison applied to soot

Guillaume Lefèvre, Michael Sztucki, Jerôme Yon, Marek Mazur, Mijail Littin, Yoran Raynaud Diarra, Andrés Fuentes
article en

Abstract

Characterizing nanoparticles in terms of size and morphology is essential to understand their physical and optical properties. Small or Ultra Small-Angle X-ray Scattering (SAXS/USAXS) is a powerful in situ technique that allows the analysis of such nanostructures exhibiting size and morphology through the Guinier and Porod regimes, which can be repeated at different scales (e.g., primary spheres and Agglomerates for mass fractal agglomerates, as focused on in this study). This is the principle of the widely used Beaucage’s unified model, built in reciprocal q -space (the momentum transfer or scattering wave vector) in order to interpret experimental results. An alternative method based on pair correlation modeling can be used. Indeed, by definition, the scattered signal corresponds to the Fourier transform of the particles’ pair correlation function. The present study compares the two approaches for fractal agglomerates of point-contact spheres. It is shown that the Beaucage’s model is limited to agglomerates consisting of a large number of primary spheres and that certain destructive interferences, not taken into account in this model, can affect data inversion, potentially affecting the extraction of the primary sphere size distribution. In this work, both models are compared in the direct way applied on synthetic data, and used to invert experimental SAXS data from soot particles in a laminar ethylene diffusion flame measured at the European Synchrotron Radiation Facility (ESRF) and processed via Abel inversion. This study puts in evidence the fundamental differences between both models and highlight their respective limitations. Nevertheless, both models provide similar results except for the mass fractal dimension and primary sphere geometric standard deviation. The present study demonstrates thus the potential of the pair correlation modelling and encourages its further development. • A critical analysis and comparison is carried out between unified scaling approaches, commonly used in interpreting electromagnetic wave scattering signals in visible or X-ray ranges, and a more rigorous method based on modeling the pair correlation function. • The results highlight a significant shortcomings in classical modeling, particularly its neglect of destructive interference effects that crucially influence the amplitude and slope of modeled signals. • A new expression for the polydispersity index (PDI) tailored for lognormal distributions is introduce. • The application of Abel inversion to scattering spectra in laminar diffusion flames has a strong impact on inverted parameters. • Applying both models to experimental data obtained by small-angle X-ray scattering (SAXS) reveals significant impacts on most of the measured parameters when the new expression for PDI is taken into account.

Journal of Quantitative Spectroscopy and Radiative TransferVol. 354
Centre National de la Recherche Scientifique (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), European Synchrotron Radiation Facility (FR), Normandie Université (FR), Université de Rouen Normandie (FR), Federico Santa María Technical University (CL), Institut National des Sciences Appliquées Rouen Normandie (FR)
Openalex Percentile: Top 60%
Coagulation and Flocculation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.