Improved X-ray fluorescence spectroscopic monitoring of potentially toxic elements by multivariate analysis: A case study of soils near abandoned coal mines (NW Portugal)

• Tipo: Artigo em Revista Científica Internacional
• Data: 2024

Autores

Milinovic, J (Autor) Outra; Vale, C (Autor) Outra; Aurora Futuro Silva (Autor) FEUP; Carlos M Pereira (Autor) FCUP; Flores, D (Autor) FCUP; Manuel Azenha (Autor) FCUP

Revista

Título: Journal of Environmental Chemical Engineering

Vol. 12

ISSN: 2213-3437

Editora: Elsevier

Indexação

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Outras Informações

ID Authenticus: P-017-AJB

DOI: 10.1016/j.jece.2024.114437

Abstract (EN): Reusing soils near abandoned mines requires the assessment of soil quality, which includes determining potentially toxic elements (PTEs), such as As, Cd, Co, Cr, Cu, Fe, Mo, Ni, Pb, Sr, Zn and Zr. Levels of PTEs in soil can be harmful. Hence, the measurement of their concentrations is crucial to assess whether soil properties are reusable or it represents a potential environmental risk. Field techniques such as X-ray fluorescence (XRF) imprinting may be an option for rapid PTEs monitoring. Still, due to low sensitivity and selectivity, the partially obtained results by XRF software can be biased. This study presents an alternative solution for soil PTEs monitoring based on the advantages of multivariate analysis (MVA) principally partial least square (PLS) regression applied to orthogonally signal-corrected (OSC) XRF spectroscopic data. The developed PLS models were applied to soil samples from two regions of adjacent abandoned coal mines, in NW Portugal. High correlation coefficients obtained for As, Fe, Pb, Sr and Zn validation models (R2 = 0.79-0.99) pointed to the improved accuracy of their monitoring (compared to directly obtained XRF results) in this regional soil environment. The other PTEs (Co, Cr, Cu, Ni and Zr) showed good PLS models at local environment (R2 = 0.84-0.98). The test of these models in the contaminated regions reinforces their effectiveness in monitoring contaminated soils toward the reuse of environments near abandoned mines.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9