Recovery of strategically important critical minerals using novel co-collectors: Insights from a Central African copper ore using integration of particle-based separation modelling and flotation chemistry.
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| Title: | Recovery of strategically important critical minerals using novel co-collectors: Insights from a Central African copper ore using integration of particle-based separation modelling and flotation chemistry. |
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| Authors: | Shackleton, NJ1 (AUTHOR) natalie.shackleton@aeciworld.com, Malysiak, V1 (AUTHOR), Pereira, L2 (AUTHOR), Guy, B2 (AUTHOR), Mosia, GS1 (AUTHOR) |
| Source: | Minerals Engineering. Oct2025, Vol. 232, pN.PAG-N.PAG. 1p. |
| Subjects: | Copper mining, Copper, Metal sulfides, Mineralogy, Minerals |
| Abstract: | • Central African Ore case study: Batch flotation with automated mineralogy trained particle-based separation models was used. • Co-collectors evaluated: DTPs and Novel DTCs combined with SIBX. • SIBX + DTC + DTP ratios: Targets bornite, chalcocite, chalcopyrite; effective for finer size classes below 38µm. • Cu recovery improvement: ~11% for lower dosage [SIBX + DTC + DTP] vs. [SIBX] without grade sacrifice. • Data utilization: Tailor collectors based on ore mineralisation for various ore types • Reagent flexibility: One reagent type doesn't fit all flotation applications. Copper has been highlighted as a critical mineral to mitigate climate change and provide clean-energy economy; however, major deficits are forecasted and therefore copper demand is expected to rise. This situation will become more severe if copper's production continues at its current rate. Given the declining copper head grades as well as the long-time span needed for exploration of new sites, it has become necessary to improve the efficiency of existing beneficiation processes. This paper focuses on copper's flotation performance using novel co-collectors developed for improved extraction of various copper-bearing minerals and thus creating added value for concentrators treating base metal sulphide ores. The case study was conducted on a Central African ore, where batch flotation tests were performed and the concentrates were characterised with automated mineralogy, which data was used to train particle-based separation models. Results show a strong correlation between the recovery of the different copper minerals and AECI Mining Chemicals novel co-collector type thereby improving copper recovery even at a lower overall reagent consumption. [ABSTRACT FROM AUTHOR] |
| Copyright of Minerals Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186589880 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Recovery of strategically important critical minerals using novel co-collectors: Insights from a Central African copper ore using integration of particle-based separation modelling and flotation chemistry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shackleton%2C+NJ%22">Shackleton, NJ</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> natalie.shackleton@aeciworld.com</i><br /><searchLink fieldCode="AR" term="%22Malysiak%2C+V%22">Malysiak, V</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pereira%2C+L%22">Pereira, L</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guy%2C+B%22">Guy, B</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mosia%2C+GS%22">Mosia, GS</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Minerals+Engineering%22">Minerals Engineering</searchLink>. Oct2025, Vol. 232, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Copper+mining%22">Copper mining</searchLink><br /><searchLink fieldCode="DE" term="%22Copper%22">Copper</searchLink><br /><searchLink fieldCode="DE" term="%22Metal+sulfides%22">Metal sulfides</searchLink><br /><searchLink fieldCode="DE" term="%22Mineralogy%22">Mineralogy</searchLink><br /><searchLink fieldCode="DE" term="%22Minerals%22">Minerals</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Central African Ore case study: Batch flotation with automated mineralogy trained particle-based separation models was used. • Co-collectors evaluated: DTPs and Novel DTCs combined with SIBX. • SIBX + DTC + DTP ratios: Targets bornite, chalcocite, chalcopyrite; effective for finer size classes below 38µm. • Cu recovery improvement: ~11% for lower dosage [SIBX + DTC + DTP] vs. [SIBX] without grade sacrifice. • Data utilization: Tailor collectors based on ore mineralisation for various ore types • Reagent flexibility: One reagent type doesn't fit all flotation applications. Copper has been highlighted as a critical mineral to mitigate climate change and provide clean-energy economy; however, major deficits are forecasted and therefore copper demand is expected to rise. This situation will become more severe if copper's production continues at its current rate. Given the declining copper head grades as well as the long-time span needed for exploration of new sites, it has become necessary to improve the efficiency of existing beneficiation processes. This paper focuses on copper's flotation performance using novel co-collectors developed for improved extraction of various copper-bearing minerals and thus creating added value for concentrators treating base metal sulphide ores. The case study was conducted on a Central African ore, where batch flotation tests were performed and the concentrates were characterised with automated mineralogy, which data was used to train particle-based separation models. Results show a strong correlation between the recovery of the different copper minerals and AECI Mining Chemicals novel co-collector type thereby improving copper recovery even at a lower overall reagent consumption. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Minerals Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.mineng.2025.109516 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Copper mining Type: general – SubjectFull: Copper Type: general – SubjectFull: Metal sulfides Type: general – SubjectFull: Mineralogy Type: general – SubjectFull: Minerals Type: general Titles: – TitleFull: Recovery of strategically important critical minerals using novel co-collectors: Insights from a Central African copper ore using integration of particle-based separation modelling and flotation chemistry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shackleton, NJ – PersonEntity: Name: NameFull: Malysiak, V – PersonEntity: Name: NameFull: Pereira, L – PersonEntity: Name: NameFull: Guy, B – PersonEntity: Name: NameFull: Mosia, GS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08926875 Numbering: – Type: volume Value: 232 Titles: – TitleFull: Minerals Engineering Type: main |
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