Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy

We evaluated the application of Fourier transform infrared (FT-IR) microspectroscopy in the mid-IR region (1500-550 cm<sup>-1</sup>) in reflectance mode as a semi-automated tool to quantify common heavy minerals (HM) found in natural sediments and sedimentary rocks. An in-house database of IR spectra for the main HM was acquired. Then, automated HM identification using FT-IR spectroscopy was tested on synthetic mixtures with known HM proportions. HM fractionation during sampling and mounting in epoxy is evaluated by testing several sample preparations techniques. Overall, HM are properly determined using FT-IR microspectroscopy. Most of the HM are found in proportions comparable to those documented in the synthetic mixtures. Main drawbacks to this method include: (i) the mid-IR region does not give access to the absorption bands of some HM, such as fluorite, pyrite, and cassiterite, compared to other methods such as Raman microspectroscopy, (ii) the failure to discriminate titanium dioxide (TiO<sub>2</sub>) polymorphs, and (iii) large spectral variations in some mineral groups such as amphiboles. Beyond these limitations, mid-FT-IR microspectroscopy in reflectance mode can be used to accurately determine HM proportions and could be simpler, faster, and/or cheaper when compared to other methods such as optical microscopy or scanning electron microscopy.

Authors

Institutions

Publication Details

Journal
Applied Spectroscopy
Published
2025-03-17
DOI
https://doi.org/10.1177/00037028251322197
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy

Thomas Blaise, J. Nouet, Fares Azzam, Jocelyn Barbarand et al.
1 citations
Applied Spectroscopy
Geochemistry and Geologic Mapping
2.48
article

Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy

Thomas Blaise, J. Nouet, Fares Azzam, Jocelyn Barbarand, Hélène Cassagne
article en
1 citations

Abstract

We evaluated the application of Fourier transform infrared (FT-IR) microspectroscopy in the mid-IR region (1500-550 cm<sup>-1</sup>) in reflectance mode as a semi-automated tool to quantify common heavy minerals (HM) found in natural sediments and sedimentary rocks. An in-house database of IR spectra for the main HM was acquired. Then, automated HM identification using FT-IR spectroscopy was tested on synthetic mixtures with known HM proportions. HM fractionation during sampling and mounting in epoxy is evaluated by testing several sample preparations techniques. Overall, HM are properly determined using FT-IR microspectroscopy. Most of the HM are found in proportions comparable to those documented in the synthetic mixtures. Main drawbacks to this method include: (i) the mid-IR region does not give access to the absorption bands of some HM, such as fluorite, pyrite, and cassiterite, compared to other methods such as Raman microspectroscopy, (ii) the failure to discriminate titanium dioxide (TiO<sub>2</sub>) polymorphs, and (iii) large spectral variations in some mineral groups such as amphiboles. Beyond these limitations, mid-FT-IR microspectroscopy in reflectance mode can be used to accurately determine HM proportions and could be simpler, faster, and/or cheaper when compared to other methods such as optical microscopy or scanning electron microscopy.

Applied SpectroscopyVol. 79(8)
Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Geosciences Paris-Saclay (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Geochemistry and Geologic Mapping
2.48
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.

Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy — Thomas Blaise, J. Nouet, et al. · Applied Spectroscopy (2025) | TGRS Research Map | TGRS