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Near-infrared spectroscopy for the prediction of rare earth elements in soils from the largest uranium-phosphate deposit in Brazil using PLS, iPLS, and iSPA-PLS models.
Maia, Angelo Jamil; da Silva, Yuri Jacques Agra Bezerra; do Nascimento, Clístenes Williams Araújo; Veras, Germano; Escobar, Maria Eugenia Ortiz; Cunha, Cleyton Saialy Medeiros; da Silva, Ygor Jacques Agra Bezerra; Nascimento, Rennan Cabral; de Souza Pereira, Lavínia Hannah.
Afiliação
  • Maia AJ; Agronomy Department, Federal Rural University of Pernambuco (UFRPE), Dom Manuel de Medeiros street, s/n - Dois Irmãos, Recife, PE, 52171-900, Brazil.
  • da Silva YJAB; Agronomy Department, Federal University of Piaui (UFPI), Planalto Horizonte, Bom Jesus, PI, 64900-000, Brazil. yurijacques@ufpi.edu.br.
  • do Nascimento CWA; Agronomy Department, Federal Rural University of Pernambuco (UFRPE), Dom Manuel de Medeiros street, s/n - Dois Irmãos, Recife, PE, 52171-900, Brazil.
  • Veras G; Chemistry Department, State University of Paraiba, Baraúnas St. 351, Campina Grande, PB, 58429-500, Brazil.
  • Escobar MEO; Soil Science Department, Federal University of Ceará (UFC), Av. Mister Hull, s/n, Campus do Pici, Fortaleza, CE 60455-760, Brazil.
  • Cunha CSM; Soil Science Department, Federal University of Ceará (UFC), Av. Mister Hull, s/n, Campus do Pici, Fortaleza, CE 60455-760, Brazil.
  • da Silva YJAB; Agronomy Department, Federal Rural University of Pernambuco (UFRPE), Dom Manuel de Medeiros street, s/n - Dois Irmãos, Recife, PE, 52171-900, Brazil.
  • Nascimento RC; Agronomy Department, Federal Rural University of Pernambuco (UFRPE), Dom Manuel de Medeiros street, s/n - Dois Irmãos, Recife, PE, 52171-900, Brazil.
  • de Souza Pereira LH; Chemistry Department, State University of Paraiba, Baraúnas St. 351, Campina Grande, PB, 58429-500, Brazil.
Environ Monit Assess ; 192(11): 675, 2020 Oct 06.
Article em En | MEDLINE | ID: mdl-33025222
The largest uranium-phosphate deposit in Brazil also contains considerable levels of rare earth elements (REEs), which allows for the co-mining of these three ores. The most common methods for REE determination are time-consuming and demand complex sample preparation and use of hazardous reagents. Thus, the development of a safer and faster method to predict REEs in soil could aid in the assessment of these elements. We investigated the efficiency of near-infrared (NIR) spectroscopy to predict REEs in the soil of the uranium-phosphate deposit of Itataia, Brazil. We collected 50 composite topsoil samples in a well-distributed sampling grid along the deposit. The NIR measures in the soils ranged from 750 to 2500 nm. Three partial least squares regressions (PLSR) were selected to calibrate the spectra: full-spectrum partial least squares (PLS), interval partial least squares (iPLS), and successive projections algorithms for interval selection in partial least squares (iSPA-PLS). The concentrations of REEs were measured by inductively coupled plasma optical emission spectroscopy (ICP-OES). In addition to raw spectral data, we also used spectral pretreatments to investigate the effects on prediction results: multiplicative scatter correction (MSC), Savitzky-Golay derivatives (SG), and standard normal variate transformation (SNV). Positive results were obtained in PLS for La and ΣLREE using MSC pretreatment and in iSPA-PLS for Nd and Ce using raw data. The accuracy of the measurements was related to the REE concentration in soil; i.e., elements with higher concentrations tended to present more accurate results. The results obtained here aim to contribute to the development of NIR spectroscopy techniques as a tool for mapping the concentrations of REEs in topsoil.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Urânio Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Urânio Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda