In paleoenvironmental studies, the mineralogical composition of sediments is an important indicator. In combination with other indicators, they contribute to the understanding of changes in sediment sourcing as well as in weathering and depositional processes. Fourier transform infrared spectroscopy (FTIRS) spectra contain information on mineralogical composition because each mineral has a unique absorption pattern in the mid-IR range. Although easily obtained, FTIR spectra are often too complex to infer mineral concentrations directly. In this study, we use a calibration set of ca. 200 sediment samples conventionally measured using X-ray diffraction (XRD) in order to develop multivariate, partial least squares (PLS) regression models relating mineral contents to sediment spectra. Good correlations were obtained for the most common minerals (e.g. quartz, K-feldspar, illite, plagioclase, smectite, calcite). Correlation coefficients ranged from 0.85 to 0.92, coefficients for the validation varied from 0.64 to 0.80, the number of latent variables (PLS regression components) in the models ranged between 3 and 7 and the range of variation of the RMSEcv gradient was from 15.28 to 5.7

Hahn, A., Vogel, H., Ando, S., Garzanti, E., Kuhn, G., Lantzsch, H., et al. (2018). Using Fourier transform infrared spectroscopy to determine mineral phases in sediments. SEDIMENTARY GEOLOGY, 375, 27-35 [10.1016/j.sedgeo.2018.03.010].

Using Fourier transform infrared spectroscopy to determine mineral phases in sediments

Ando, S;Garzanti, E;
2018

Abstract

In paleoenvironmental studies, the mineralogical composition of sediments is an important indicator. In combination with other indicators, they contribute to the understanding of changes in sediment sourcing as well as in weathering and depositional processes. Fourier transform infrared spectroscopy (FTIRS) spectra contain information on mineralogical composition because each mineral has a unique absorption pattern in the mid-IR range. Although easily obtained, FTIR spectra are often too complex to infer mineral concentrations directly. In this study, we use a calibration set of ca. 200 sediment samples conventionally measured using X-ray diffraction (XRD) in order to develop multivariate, partial least squares (PLS) regression models relating mineral contents to sediment spectra. Good correlations were obtained for the most common minerals (e.g. quartz, K-feldspar, illite, plagioclase, smectite, calcite). Correlation coefficients ranged from 0.85 to 0.92, coefficients for the validation varied from 0.64 to 0.80, the number of latent variables (PLS regression components) in the models ranged between 3 and 7 and the range of variation of the RMSEcv gradient was from 15.28 to 5.7
Articolo in rivista - Articolo scientifico
Calcite; Illite; K-feldspar; Method development; Plagioclase; Provenance study; Quartz; Smectite
English
2018
375
27
35
none
Hahn, A., Vogel, H., Ando, S., Garzanti, E., Kuhn, G., Lantzsch, H., et al. (2018). Using Fourier transform infrared spectroscopy to determine mineral phases in sediments. SEDIMENTARY GEOLOGY, 375, 27-35 [10.1016/j.sedgeo.2018.03.010].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/262016
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