Nanohydrometallurgy with superparamagnetic nanoparticles: a sustainable solution for critical metal retrieval from phosphogypsum (2025)
- Authors:
- USP affiliated authors: TENÓRIO, JORGE ALBERTO SOARES - EP ; ESPINOSA, DENISE CROCCE ROMANO - RUSP ; PAVOSKI, GIOVANI - EP
- Unidades: EP; RUSP
- DOI: 10.1007/s40831-025-01070-x
- Subjects: NANOPARTÍCULAS; ECONOMIA CIRCULAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2025
- Source:
- Título: Journal of Sustainable Metallurgy
- ISSN: 2199-3831
- Volume/Número/Paginação/Ano: v.11, n. 5, p.1-15, Apr. 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PAVOSKI, Giovani et al. Nanohydrometallurgy with superparamagnetic nanoparticles: a sustainable solution for critical metal retrieval from phosphogypsum. Journal of Sustainable Metallurgy, v. 11, n. 5, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1007/s40831-025-01070-x. Acesso em: 11 fev. 2026. -
APA
Pavoski, G., Espinosa, D. C. R., Tenório, J. A. S., & Liu, W. (2025). Nanohydrometallurgy with superparamagnetic nanoparticles: a sustainable solution for critical metal retrieval from phosphogypsum. Journal of Sustainable Metallurgy, 11( 5), 1-15. doi:10.1007/s40831-025-01070-x -
NLM
Pavoski G, Espinosa DCR, Tenório JAS, Liu W. Nanohydrometallurgy with superparamagnetic nanoparticles: a sustainable solution for critical metal retrieval from phosphogypsum [Internet]. Journal of Sustainable Metallurgy. 2025 ;11( 5): 1-15.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1007/s40831-025-01070-x -
Vancouver
Pavoski G, Espinosa DCR, Tenório JAS, Liu W. Nanohydrometallurgy with superparamagnetic nanoparticles: a sustainable solution for critical metal retrieval from phosphogypsum [Internet]. Journal of Sustainable Metallurgy. 2025 ;11( 5): 1-15.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1007/s40831-025-01070-x - Visible-light photocatalytic activity of a green niobium pentoxide nanocatalyst: experimental analysis and machine learning approach
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Informações sobre o DOI: 10.1007/s40831-025-01070-x (Fonte: oaDOI API)
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