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Applied Sciences
Special Issues
Application of Infrared Spectroscopy in Petrography and Mineralogy Studies
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Application of Infrared Spectroscopy in Petrography and Mineralogy Studies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (23 September 2022) | Viewed by 4885

Special Issue Editors

Dr. Licia Santoro

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Guest Editor
Department of Earth Sciences, University of Torino, Via Valperga Caluso 35, I-10125 Torino, Italy
Interests: Ore deposits; Ore mineral characterization; Geochemistry; Image analysis; Mineralogy; Automated Mineralogy; analytical techniques: SEM-EDS; TGA; FTIR; XRPD; EPMA; TEM; QEMSCAN; TIMA; Mineralogic
Prof. Dr. Giuseppina Balassone

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Guest Editor
Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Naples University, Campus Universitario Monte Sant'Angelo, Via Vicinale Cupa Cintia 21, 80126 Napoli, Italy
Interests: archeometry; human heritage; ore deposits; mineralogy; economic geology; analytical techniques: SEM-EDS; FTIR; XRPD; EPMA; TEM; Raman
Special Issues, Collections and Topics in MDPI journals
Dr. Carsten Laukamp

E-Mail Website
Guest Editor
Commonwealth Scientific and Industrial Research Organization (CSIRO) Mineral Resources, Perth, Australia
Interests: mineralogy; geochemistry; reflectance spectroscopy; remote sensing; spectral sensing solutions to mineral exploration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue on Application of Infrared Spectroscopy in Petrography and Mineralogy Studies.

Infrared spectroscopy (IRS) is a highly effective diagnostic method for the qualitative and quantitative characterization of a wide variety of natural and synthetic materials such as minerals, pigments, rocks, ores, raw materials, and polymers. Its reliability, quickness, and high resolution in discriminating different types of compounds and in unrevealing the physio-chemistry of minerals through the analysis of a small amount of material, combined with the advantages of being a cost-effective and a non-destructive method, makes this technique highly versatile and capable of being widely applied in many research fields dealing with mineralogy and petrography. 

This Special Issue is devoted to the application of IRS as a diagnostic method to resolve and define mineral features (i.e. coordination, isomorphism, polymorphism, structural defects, etc.). Major attention will be given to significant improvements in the use of this methodology and on innovative solutions applied to the study of the inorganic compounds.
 
In this Special Issue, we welcome authors to share and disseminate their research outcomes on the uses of IRS techniques (FTIR, VNIR-SWIR, LWIR, TIR) for the study of a wide range of mineral compounds as well as different types of materials in the fields of economic geology and mineral exploration (core samples, ore minerals and host rock), mineral engineering/processing (raw material, feed, and treated compounds), astronomy (meteorites and asteroids), civil engineering and material science (cements, clays, polymers), environmental studies (water contaminants, bottom and fly ashes), forensic studies (soils), archaeology and cultural heritage (raw material, lithic manufactures, ceramics, pigments). Research on in situ measurements, as well as laboratory measurements, will both be considered for publication. As for the importance of data validation via cross-checking analyses, the use of combined approaches with a major focus on IRS techniques, is also welcome.

Dr. Licia Santoro
Prof. Dr. Giuseppina Balassone
Dr. Carsten Laukamp
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Quantitative and qualitative characterization
  • Crystal chemistry and crystal physics
  • Mineral defects, isomorphism, polymorphism, coordination
  • Non-destructive measurements
  • Technological properties of minerals
  • IR spectroscopy Imaging
  • Application to raw materials and ore deposits
  • Application to archaeometry

Published Papers (2 papers)

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Research

13 pages, 25848 KiB  
Article
A Qualitative Examination of the Iron Boomerang and Trends in Spectral Metrics across Iron Ore Deposits in Western Australia
by Andrew Rodger, Erick Ramanaidou, Carsten Laukamp and Ian Lau
Appl. Sci. 2022, 12(3), 1547; https://doi.org/10.3390/app12031547 - 31 Jan 2022
Cited by 1 | Viewed by 2264
Abstract
There are two major types of iron ore deposits in the Pilbara Province of Western Australia—banded iron formation (BIF)-hosted iron ore deposits and bedded iron deposits (BID), respectively, named martite–goethite and martite–microplaty hematite and the channel iron deposits (CID). These deposits consist mainly [...] Read more.
There are two major types of iron ore deposits in the Pilbara Province of Western Australia—banded iron formation (BIF)-hosted iron ore deposits and bedded iron deposits (BID), respectively, named martite–goethite and martite–microplaty hematite and the channel iron deposits (CID). These deposits consist mainly of iron oxides such as magnetite, hematite and goethite; the latter have been subdivided into vitreous and ochreous goethite. Combining spectral scanning of diamond drill core, drill chips and pulps collected from these deposits provides a rapid and relatively inexpensive means of assessing the potential mineral makeup within a deposit to make informed qualitative decisions. Additionally, the full width half maximum (FWHM) of the 900 nm 6A1à4T1 crystal field absorption feature within the goethite-dominated region is shown to be related to the type of goethite, namely ochreous and vitreous. The assessment capabilities of the combined metrics are presented in a visual format named as the iron boomerang because of its distinctive manifold. This provides the identification of at least two spectral endmembers comprised of hematite and vitreous goethite, the identification of samples that are moving from a pure hematite to mixed hematite/goethite and lastly into a goethite-dominant-driven regime. Full article
(This article belongs to the Special Issue Application of Infrared Spectroscopy in Petrography and Mineralogy Studies)
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15 pages, 30018 KiB  
Article
Quantitative Geochemical Prediction from Spectral Measurements and Its Application to Spatially Dispersed Spectral Data
by Andrew Rodger and Carsten Laukamp
Appl. Sci. 2022, 12(1), 282; https://doi.org/10.3390/app12010282 - 28 Dec 2021
Cited by 1 | Viewed by 1689
Abstract
The efficacy of predicting geochemical parameters with a 2-chain workflow using spectral data as the initial input is evaluated. Spectral measurements spanning the approximate 400–25000 nm spectral range are used to train a workflow consisting of a non-negative matrix function (NMF) step, for [...] Read more.
The efficacy of predicting geochemical parameters with a 2-chain workflow using spectral data as the initial input is evaluated. Spectral measurements spanning the approximate 400–25000 nm spectral range are used to train a workflow consisting of a non-negative matrix function (NMF) step, for data reduction, and a random forest regression (RFR) to predict eight geochemical parameters. Approximately 175,000 spectra with their corresponding chemical analysis were available for training, testing and validation purposes. The samples and their spectral and chemical parameters represent 9399 drillcore. Of those, approximately 20,000 spectra and their accompanying analysis were used for training and 5000 for model validation. The remaining pairwise data (150,000 samples) were used for testing of the method. The data are distributed over two large spatial extents (980 km2 and 3025 km2, respectively) and allowed the proposed method to be tested against samples that are spatially distant from the initial training points. Global R2 scores and wt.% RMSE on the 150,000 validation samples are Fe (0.95/3.01), SiO2 (0.96/3.77), Al2O3 (0.92/1.27), TiO (0.68/0.13), CaO (0.89/0.41), MgO (0.87/0.35), K2O (0.65/0.21) and LOI (0.90/1.14), given as Parameter (R2/RMSE), and demonstrate that the proposed method is capable of predicting the eight parameters and is stable enough, in the environment tested, to extend beyond the training sets initial spatial location. Full article
(This article belongs to the Special Issue Application of Infrared Spectroscopy in Petrography and Mineralogy Studies)
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