SEM-Based Approaches for the Identification and Quantification of Anhydrite

For investigating and modeling the swelling potential of anhydrite rocks, it is important to define a fast but accurate, reliable, and repeatable procedure for mineral identification and quantification of anhydrite mineral in rock samples. We propose a quantitative evaluation of the applicability of two different SEM-based approaches (namely, image analysis and the use of the O/S atomic ratio) for the identification and quantification of anhydrite in polished slices of rock. We compare the results obtained with the bulk densities of the samples and with the outcomes of thermogravimetric analyses, demonstrating high convergence between the different data. We eventually propose a critical comparison between the proposed approaches and the existing methods, overall providing a practical guide for the selection of the best analytical procedure for the quantification of anhydrite content in rocks and, consequently, for the correct estimation of swelling potential.

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Publication Details

Journal
Applied Sciences
Published
2025-08-30
DOI
https://doi.org/10.3390/app15179584
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48

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article

SEM-Based Approaches for the Identification and Quantification of Anhydrite

Gianluca Frasca, Sabrina Maria Rita Bonetto, Chiara Caselle, Emanuele Costa et al.
1 citations
Applied Sciences
Geochemistry and Geologic Mapping
2.48
article

SEM-Based Approaches for the Identification and Quantification of Anhydrite

Gianluca Frasca, Sabrina Maria Rita Bonetto, Chiara Caselle, Emanuele Costa, Arianna Paschetto, Pietro Mosca, Emmanuele Giordano
article en
1 citations

Abstract

For investigating and modeling the swelling potential of anhydrite rocks, it is important to define a fast but accurate, reliable, and repeatable procedure for mineral identification and quantification of anhydrite mineral in rock samples. We propose a quantitative evaluation of the applicability of two different SEM-based approaches (namely, image analysis and the use of the O/S atomic ratio) for the identification and quantification of anhydrite in polished slices of rock. We compare the results obtained with the bulk densities of the samples and with the outcomes of thermogravimetric analyses, demonstrating high convergence between the different data. We eventually propose a critical comparison between the proposed approaches and the existing methods, overall providing a practical guide for the selection of the best analytical procedure for the quantification of anhydrite content in rocks and, consequently, for the correct estimation of swelling potential.

Applied SciencesVol. 15(17)
Institute of Geosciences and Earth Resources (IT), University of Turin (IT)
European Commission
Openalex Percentile: Top 9%
Geochemistry and Geologic Mapping
2.48
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