Evidence map›Paper›PMID 40094263›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2025

Ultrasonic Dispersion for Iron Recovery from Slime Tailings: Microprocesses Unveiled through Molecular Dynamics Simulations.

Lucas Andrade Silva, Letícia Maia Prates, Alexandre Moni Pereira, Julio Cesar Guedes Correia, Michelle Lacerda Sales Marques, Inna V Filippova, Lev O Filippov

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lucas Andrade SilvaMinistry of Science, Technology and Innovation (MCTI), Molecular Modeling Laboratory, Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, Rio de Janeiro, RJ 21941-908, Brazil.ORCID 0000-0002-5638-1645
Letícia Maia PratesMinistry of Science, Technology and Innovation (MCTI), Molecular Modeling Laboratory, Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, Rio de Janeiro, RJ 21941-908, Brazil.ORCID 0000-0003-1624-9719
Alexandre Moni PereiraMinistry of Science, Technology and Innovation (MCTI), Molecular Modeling Laboratory, Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, Rio de Janeiro, RJ 21941-908, Brazil.
Julio Cesar Guedes CorreiaMinistry of Science, Technology and Innovation (MCTI), Molecular Modeling Laboratory, Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, Rio de Janeiro, RJ 21941-908, Brazil.ORCID 0000-0003-3617-7054
Michelle Lacerda Sales MarquesIron Ore Beneficiation Development Team, Vale S/A, Belo Horizonte, Minas Gerais 34006-270, Brazil.
Inna V FilippovaCNRS, GeoRessources, Université de Lorraine, F54000 Nancy, France.
Lev O FilippovCNRS, GeoRessources, Université de Lorraine, F54000 Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical dispersion has been commonly used to mitigate the negative effects of ultrafine particles in iron ore concentration processes. However, mechanical solutions such as ultrasound are proving to be more effective and without harmful side effects. This study compared the performance of different dispersants and ultrasound as pretreatments for reverse cationic flotation of goethite-rich slime tailings through sedimentation, dispersion, and flotation tests, along with particle size analysis. Additionally, large-scale molecular dynamics simulations were used for the first time to investigate the effects of ultrasonic shockwaves on mineral particle interactions. The results showed that ultrasonication is a superior pretreatment, enhancing particle dispersion and separation performance, cleaning mineral surfaces, and improving flotation results. Ultrasound achieved an increase in metallurgical recovery of around 9% while using only a dispersant reagent did not reach 5%. Simulations demonstrated the known effects of ultrasound, such as extreme temperature, bubble cavitation, and particle detachment, revealing the crucial microscopic mechanisms involved in particle separation by sonic waves. This study bridges experimental data with computational simulations, offering a comprehensive understanding of ultrasonication's effects on particle separation, paving the way for more efficient and sustainable processing technologies.

Identifiers

PMID40094263
PMCPMC11948480

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.