Nano-scale characterization of particulate iron pyrite morphology in shale

Vasileios Angelidakis; Sadegh Nadimi; Mohamed Garum; Ali Hassanpour

doi:10.1002/ppsc.202200120

Nano-scale characterization of particulate iron pyrite morphology in shale

Vasileios Angelidakis, Sadegh Nadimi^*, Mohamed Garum, Ali Hassanpour

^*Corresponding author for this work

School of Natural and Built Environment

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

7 Downloads (Pure)

Abstract

This study analyzes the morphology of iron pyrite particles within a shale sample captured using nano-computed tomography (Nano-CT). The complex, framboidal morphology of the iron pyrite particles is characterized using various metrics, and comparisons are drawn on their effectiveness to quantify their observed morphological characteristics. Then, simplified representations of selected iron pyrite particles are generated to facilitate a sensitivity analysis of the effect of imaging resolution on morphological parameters of particle form. A discussion is developed on the required number of pixels per particle diameter for particle shape characterization. It is shown that shape indices that rely on the simplified main particle dimensions can be accurately calculated even for low fidelity levels of 10 pixels per particle diameter. More complex shape indices that use vertices, volume, and surface area, are more sensitive to image resolution, even for 40 pixels per particle diameter.

Original language	English
Article number	2200120
Journal	Particle and Particle Systems Characterization
Volume	39
Issue number	12
Early online date	09 Nov 2022
DOIs	https://doi.org/10.1002/ppsc.202200120
Publication status	Published - Dec 2022

Bibliographical note

Funding Information:
This work was supported by the Engineering and Physical Sciences Research Council (Grant No. EP/R511584/1) entitled “OCULAR: automated acquisition and classification of particles.” The authors would like to thank the Leeds University Electron Microscopy and Spectroscopy Center (LEMAS) for technical support (Stuart Micklethwaite) and John Wynn Williams of Leeds University School of Earth and Environment for sample preparation. The authors would like to also acknowledge the support of the Henry Royce Institute through the Royce Ph.D. Equipment Access Scheme enabling access to facilities at Royce@Manchester; EPSRC Grant Number EP/19/0044.

Publisher Copyright:
© 2022 The Authors. Particle & Particle Systems Characterization published by Wiley-VCH GmbH.

Keywords

iron pyrite morphology
nano-computed tomography
particle shape characterization

ASJC Scopus subject areas

General Chemistry
General Materials Science
Condensed Matter Physics

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10.1002/ppsc.202200120Licence: CC BY-NC

Nano-scale characterization of particulate iron pyrite morphology in shale
Copyright 2022 the authors. This is an open access Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 2.15 MBLicence: CC BY-NC

Cite this

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title = "Nano-scale characterization of particulate iron pyrite morphology in shale",

abstract = "This study analyzes the morphology of iron pyrite particles within a shale sample captured using nano-computed tomography (Nano-CT). The complex, framboidal morphology of the iron pyrite particles is characterized using various metrics, and comparisons are drawn on their effectiveness to quantify their observed morphological characteristics. Then, simplified representations of selected iron pyrite particles are generated to facilitate a sensitivity analysis of the effect of imaging resolution on morphological parameters of particle form. A discussion is developed on the required number of pixels per particle diameter for particle shape characterization. It is shown that shape indices that rely on the simplified main particle dimensions can be accurately calculated even for low fidelity levels of 10 pixels per particle diameter. More complex shape indices that use vertices, volume, and surface area, are more sensitive to image resolution, even for 40 pixels per particle diameter.",

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AU - Angelidakis, Vasileios

AU - Nadimi, Sadegh

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AU - Hassanpour, Ali

N1 - Funding Information: This work was supported by the Engineering and Physical Sciences Research Council (Grant No. EP/R511584/1) entitled “OCULAR: automated acquisition and classification of particles.” The authors would like to thank the Leeds University Electron Microscopy and Spectroscopy Center (LEMAS) for technical support (Stuart Micklethwaite) and John Wynn Williams of Leeds University School of Earth and Environment for sample preparation. The authors would like to also acknowledge the support of the Henry Royce Institute through the Royce Ph.D. Equipment Access Scheme enabling access to facilities at Royce@Manchester; EPSRC Grant Number EP/19/0044. Publisher Copyright: © 2022 The Authors. Particle & Particle Systems Characterization published by Wiley-VCH GmbH.

PY - 2022/12

Y1 - 2022/12

N2 - This study analyzes the morphology of iron pyrite particles within a shale sample captured using nano-computed tomography (Nano-CT). The complex, framboidal morphology of the iron pyrite particles is characterized using various metrics, and comparisons are drawn on their effectiveness to quantify their observed morphological characteristics. Then, simplified representations of selected iron pyrite particles are generated to facilitate a sensitivity analysis of the effect of imaging resolution on morphological parameters of particle form. A discussion is developed on the required number of pixels per particle diameter for particle shape characterization. It is shown that shape indices that rely on the simplified main particle dimensions can be accurately calculated even for low fidelity levels of 10 pixels per particle diameter. More complex shape indices that use vertices, volume, and surface area, are more sensitive to image resolution, even for 40 pixels per particle diameter.

AB - This study analyzes the morphology of iron pyrite particles within a shale sample captured using nano-computed tomography (Nano-CT). The complex, framboidal morphology of the iron pyrite particles is characterized using various metrics, and comparisons are drawn on their effectiveness to quantify their observed morphological characteristics. Then, simplified representations of selected iron pyrite particles are generated to facilitate a sensitivity analysis of the effect of imaging resolution on morphological parameters of particle form. A discussion is developed on the required number of pixels per particle diameter for particle shape characterization. It is shown that shape indices that rely on the simplified main particle dimensions can be accurately calculated even for low fidelity levels of 10 pixels per particle diameter. More complex shape indices that use vertices, volume, and surface area, are more sensitive to image resolution, even for 40 pixels per particle diameter.

KW - iron pyrite morphology

KW - nano-computed tomography

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ER -

Nano-scale characterization of particulate iron pyrite morphology in shale

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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