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Identification of Uranium Minerals in Natural U-Bearing Rocks Using Infrared Reflectance Spectroscopy.
Beiswenger, Toya N; Gallagher, Neal B; Myers, Tanya L; Szecsody, James E; Tonkyn, Russell G; Su, Yin-Fong; Sweet, Lucas E; Lewallen, Tricia A; Johnson, Timothy J.
Afiliação
  • Beiswenger TN; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Gallagher NB; 2 Eigenvector Research, Inc., Manson, WA, USA.
  • Myers TL; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Szecsody JE; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Tonkyn RG; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Su YF; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Sweet LE; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Lewallen TA; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
  • Johnson TJ; 1 6865 Pacific Northwest National Laboratory , Richland, WA, USA.
Appl Spectrosc ; 72(2): 209-224, 2018 Feb.
Article em En | MEDLINE | ID: mdl-29282991
The identification of minerals, including uranium-bearing species, is often a labor-intensive process using X-ray diffraction (XRD), fluorescence, or other solid-phase or wet chemical techniques. While handheld XRD and fluorescence instruments can aid in field applications, handheld infrared (IR) reflectance spectrometers can now also be used in industrial or field environments, with rapid, nondestructive identification possible via analysis of the solid's reflectance spectrum providing information not found in other techniques. In this paper, we report the use of laboratory methods that measure the IR hemispherical reflectance of solids using an integrating sphere and have applied it to the identification of mineral mixtures (i.e., rocks), with widely varying percentages of uranium mineral content. We then apply classical least squares (CLS) and multivariate curve resolution (MCR) methods to better discriminate the minerals (along with two pure uranium chemicals U3O8 and UO2) against many common natural and anthropogenic background materials (e.g., silica sand, asphalt, calcite, K-feldspar) with good success. Ground truth as to mineral content was attained primarily by XRD. Identification is facile and specific, both for samples that are pure or are partially composed of uranium (e.g., boltwoodite, tyuyamunite, etc.) or non-uranium minerals. The characteristic IR bands generate unique (or class-specific) bands, typically arising from similar chemical moieties or functional groups in the minerals: uranyls, phosphates, silicates, etc. In some cases, the chemical groups that provide spectral discrimination in the longwave IR reflectance by generating upward-going (reststrahlen) bands can provide discrimination in the midwave and shortwave IR via downward-going absorption features, i.e., weaker overtone or combination bands arising from the same chemical moieties.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article