Your browser doesn't support javascript.
loading
Time-resolved laser-induced fluorescence spectroscopy and chemometrics for fast identification of U(VI)-bearing minerals in a mining context.
Sirven, Jean-Baptiste; Szenknect, Stéphanie; Vors, Evelyne; Anzalone, Eddie; Benarib, Sofian; Sarr, Papa-Masserigne; Reiller, Pascal E; Mesbah, Adel; Dacheux, Nicolas; Vercouter, Thomas; Descostes, Michaël.
Afiliação
  • Sirven JB; Université Paris-Saclay, CEA, Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), F-91191 Gif-sur-Yvette, France. Electronic address: jean-baptiste.sirven@cea.fr.
  • Szenknect S; ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Site de Marcoule, Bagnols-sur-Cèze, France.
  • Vors E; Université Paris-Saclay, CEA, Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), F-91191 Gif-sur-Yvette, France.
  • Anzalone E; ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Site de Marcoule, Bagnols-sur-Cèze, France.
  • Benarib S; ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Site de Marcoule, Bagnols-sur-Cèze, France.
  • Sarr PM; Université Paris-Saclay, CEA, Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), F-91191 Gif-sur-Yvette, France.
  • Reiller PE; Université Paris-Saclay, CEA, Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), F-91191 Gif-sur-Yvette, France.
  • Mesbah A; IRCELYON, CNRS - UCBL, 2 avenue Albert Einstein, 69626 Villeurbanne Cedex, France.
  • Dacheux N; ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Site de Marcoule, Bagnols-sur-Cèze, France.
  • Vercouter T; Université Paris-Saclay, CEA, Service d'Etudes Analytiques et de Réactivité des Surfaces (SEARS), F-91191 Gif-sur-Yvette, France.
  • Descostes M; ORANO Mining, Environmental R&D Dpt, 125 avenue de Paris, 92320 Chatillon, France; Centre de Géosciences, MINES Paris, PSL Research University, Paris, France.
Spectrochim Acta A Mol Biomol Spectrosc ; 296: 122671, 2023 Aug 05.
Article em En | MEDLINE | ID: mdl-37031480
ABSTRACT
We evaluated the potential of time-resolved laser-induced fluorescence spectroscopy (TRLFS) combined with chemometric methods for fast identification of U(VI)-bearing minerals in a mining context. We analyzed a sample set which was representative of several environmental conditions. The set consisted of 80 uranium-bearing samples related to mining operations, including natural minerals, minerals with uranium sorbed on the surface, and synthetic phases prepared and characterized specifically for this study. The TRLF spectra were processed using the Ward algorithm and the K-nearest neighbors (KNN) method to reveal similarities between samples and to rapidly identify the uranium-bearing phase and the associated mineralogical family. The predictive models were validated on an independent dataset, and then applied to test samples mostly taken from U mill tailings. Identification results were found to be in accordance with the available characterization data from X-ray diffraction (XRD) and scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDX). This work shows that TRLFS can be an effective decision-making tool for environmental investigations or geological prospection, considering the large diversity of uranium-bearing mineral phases and their low concentration in environmental samples.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article