Uses of Near-Infrared Spectra for the Identification of Calcite and Dolomite in Carbonate Rocks

Yang, Min; Ren, Guangli; Gao, Ting; Li, Jianqiang; Qiu, Deming; Yi, Huan; Han, Haihui

doi:10.1166/jctn.2015.4727

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…The IR spectra of the eight samples collected from the USGS spectral library displayed three intense bands at 1060, 1030, and 956 cm −1 ( Figure 4 and Table 3). These bands were assigned to Si-O stretching in 2 : 1 layers [13,30] and were also observed in other phyllosilicates with 2 : 1 layers [31,32]. The second type of absorption in this region was located at approximately 850, 757, and 649 cm Figure 6.…”

Section: Bands In the 1033-428 CMsupporting

confidence: 59%

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Near-Infrared Spectroscopic Study of Chlorite Minerals

Yang

Han

et al. 2018

Journal of Spectroscopy

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The mineral chemistry of twenty chlorite samples from the United States Geological Survey (USGS) spectral library and two other regions, having a wide range of Fe and Mg contents and relatively constant Al and Si contents, was studied via infrared (IR) spectroscopy, near-infrared (NIR) spectroscopy, and X-ray fluorescence (XRF) analysis. More importantly, spectroscopic detection of mineral chemical variations in chlorites provides geologists with a tool with which to collect information on hydrothermal alteration zones from hyperspectral-resolution remote sensing data.

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Section: Bands In the 1033-428 CMsupporting

confidence: 59%

“…The NIR reflectance technique, which is particularly fast and efficient for identifying both minerals bearing hydroxyl moiety and carbonate minerals, would contribute to detecting the gossans and hydrothermal products on the earth's surface when mapping the land using multi-or hyperspectral remote sensing [13].…”

Section: Introductionmentioning

confidence: 99%

Near-Infrared Spectroscopic Study of Chlorite Minerals

Yang

Han

et al. 2018

Journal of Spectroscopy

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“…The MIR spectra of the 28 samples displayed an intense band at 1000 cm −1 (Figure 5 and Table 2). This band was caused by the Si-O stretch in the 2:1 layers [31,33] and could also occur in many phyllosilicates [27,34]. The second kind of absorption in this region was observed near 907, 870, and 786 cm −1 .…”

Section: Bands Ranging From 400 To 1500 CM −1mentioning

confidence: 87%

“…The second kind of absorption in this region was observed near 907, 870, and 786 cm −1 . The bands near 907 and 870 cm −1 were assigned to the OH bending of [AlAl]O-OH and [AlFe]O-OH (δ[AlAl]O-OH and δ[AlFe]O-OH), and the band near 786 cm −1 was attributed to Si-O bending [33,35]. In the 400-700 cm −1 region, the MIR spectra displayed four bands near 645, 590, 525, and 460 cm -1 , which were attributed to Si-O and Si-O [M 3+ oct] bending [31].…”

Section: Bands Ranging From 400 To 1500 CM −1mentioning

confidence: 99%

Near-Infrared Spectroscopic Study of Heavy-Metal-Contaminated Loess Soils in Tongguan Gold Area, Central China

et al. 2020

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Loess soil is a kind of widespread soil type in northwest China. Human engineering activities such as mining have caused numerous problems related to heavy metal pollution in soils, which threaten people’s health. The band formation mechanism of the near-infrared (NIR) spectral features in loess soils forms the theoretical basis for the study of the soil environment by hyperspectral remote sensing. Some NIR features of loess soils will shift because of the variations of the soil composition and microstructure after they adsorb heavy metal cations. In this study, we focused on the heavy metal adsorption of the illite, smectite, and illite–smectite (I/S) mixed layer in loess soils; evaluated the pollution by Nemerow indexing; applied X-ray diffraction (XRD), mid-infrared (MIR) spectral analysis, and inductively coupled plasma mass spectrometry (ICP-MS); and carefully observed the shift behavior of the MIR and NIR features. Then, the NIR bands were assigned to MIR bands according to the vibration behavior. Furthermore, the relationships between the NIR band positions and the six heavy metal cations as well as the Nemerow index were investigated via multiregression and simple linear correlation methods. Finally, the relationship obtained from the experiments was analyzed using the physical and chemical mechanisms of the heavy metal cations in the clay minerals. These findings may benefit the application of NIR and remote sensing techniques for detecting heavy-metal-polluted soils.

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Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application

Yang¹,

Han²,

Youning³

et al. 2019

Open Geosciences

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The mineral chemistry of thirteen trioctahedral chlorite samples from four regions in northwestern China, having a wide range of Fe and Mg contents and relatively constant Al and Si contents, were studied via raman spectroscopy, near infrared (NIR) spectroscopy, X-ray diffraction (XRD) analysis and electron - probe microanalysis. Five absorption features of the twenty samples near 4525, 4440, 4350, 4270 and 4180 cm−1 were observed, and two diagnostic features at 4440 and 4270 cm−1 were recognized. Assignments of the two diagnostic features were made for two combination bands ((ν+δ)(AlAl)O−OH and (ν+δ)(SiAl)O−OH) by regression with Raman fundamental absorptions. Furthermore, the determinant factors of the NIR band position were found by comparing the band positions with relative components. The results showed that Fe2+/(Fe2++Mg) values are negatively correlated with the two NIR combination bands. The findings provide an interpretation of the NIR band formation and demonstrate a simple way to use NIR spectroscopy to discriminate between chlorites with different components. More importantly, a simple example of mapping Fe-rich and Mg-rich chlorites were executed using remote sensing data based on this theory. The spectroscopic detection of mineral chemical variations in chlorites provides geologists with a tool with which to collect information on hydrothermal alteration zones from hyperspectral-resolution remote sensing data.

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Uses of Near-Infrared Spectra for the Identification of Calcite and Dolomite in Carbonate Rocks

Cited by 4 publications

References 5 publications

Near-Infrared Spectroscopic Study of Chlorite Minerals

Near-Infrared Spectroscopic Study of Chlorite Minerals

Near-Infrared Spectroscopic Study of Heavy-Metal-Contaminated Loess Soils in Tongguan Gold Area, Central China

Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application

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