An Efficient Peptide Screening Method for Mineral-Binding Peptides
In mineral processing, arsenic-bearing minerals are particularly difficult to separate from their non-arsenic counterparts because they possess similar surface properties. Peptides are well known for their target specificity and can offer a ‘green’ alternative to traditional flotation reagents. Howe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Minerals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-163X/14/2/207 |
| _version_ | 1797297407287885824 |
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| author | Lam Ian Ku Liza Forbes Susana Brito e Abreu |
| author_facet | Lam Ian Ku Liza Forbes Susana Brito e Abreu |
| author_sort | Lam Ian Ku |
| collection | DOAJ |
| description | In mineral processing, arsenic-bearing minerals are particularly difficult to separate from their non-arsenic counterparts because they possess similar surface properties. Peptides are well known for their target specificity and can offer a ‘green’ alternative to traditional flotation reagents. However, the use of peptide technologies in mineral processing for developing novel flotation reagents has not been explored. Hence, this work aims to develop a screening method to identify mineral-binding peptides as potential reagent candidates. It is hypothesised that peptides can selectively adsorb onto mineral surfaces, and this method can efficiently identify mineral-binding peptides with high specificity toward the target minerals. The methodology presented involves a selection of peptide candidates from existing literature that show affinity toward arsenic species. These peptides were tested for their adsorption performance onto selected mineral surfaces to evaluate their mineral selectivity under flotation conditions. The study demonstrates that the screening method developed is effective in identifying peptides that have an affinity for target minerals, in this case, arsenic minerals. The screening method can be applied to other minerals, thus, unlocking the potential for developing new reagent chemistries for use in mineral processing. |
| first_indexed | 2024-03-07T22:19:52Z |
| format | Article |
| id | doaj.art-6e9ba4402dfb450d899b22428bd1c86d |
| institution | Directory Open Access Journal |
| issn | 2075-163X |
| language | English |
| last_indexed | 2024-03-07T22:19:52Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Minerals |
| spelling | doaj.art-6e9ba4402dfb450d899b22428bd1c86d2024-02-23T15:28:45ZengMDPI AGMinerals2075-163X2024-02-0114220710.3390/min14020207An Efficient Peptide Screening Method for Mineral-Binding PeptidesLam Ian Ku0Liza Forbes1Susana Brito e Abreu2Julius Kruttschnitt Mineral Research Centre, Sustainable Minerals Institute, The University of Queensland, Indooroopilly, QLD 4068, AustraliaJulius Kruttschnitt Mineral Research Centre, Sustainable Minerals Institute, The University of Queensland, Indooroopilly, QLD 4068, AustraliaJulius Kruttschnitt Mineral Research Centre, Sustainable Minerals Institute, The University of Queensland, Indooroopilly, QLD 4068, AustraliaIn mineral processing, arsenic-bearing minerals are particularly difficult to separate from their non-arsenic counterparts because they possess similar surface properties. Peptides are well known for their target specificity and can offer a ‘green’ alternative to traditional flotation reagents. However, the use of peptide technologies in mineral processing for developing novel flotation reagents has not been explored. Hence, this work aims to develop a screening method to identify mineral-binding peptides as potential reagent candidates. It is hypothesised that peptides can selectively adsorb onto mineral surfaces, and this method can efficiently identify mineral-binding peptides with high specificity toward the target minerals. The methodology presented involves a selection of peptide candidates from existing literature that show affinity toward arsenic species. These peptides were tested for their adsorption performance onto selected mineral surfaces to evaluate their mineral selectivity under flotation conditions. The study demonstrates that the screening method developed is effective in identifying peptides that have an affinity for target minerals, in this case, arsenic minerals. The screening method can be applied to other minerals, thus, unlocking the potential for developing new reagent chemistries for use in mineral processing.https://www.mdpi.com/2075-163X/14/2/207arsenic mineralsflotationpeptidecollectorflotation reagentarsenopyrite |
| spellingShingle | Lam Ian Ku Liza Forbes Susana Brito e Abreu An Efficient Peptide Screening Method for Mineral-Binding Peptides Minerals arsenic minerals flotation peptide collector flotation reagent arsenopyrite |
| title | An Efficient Peptide Screening Method for Mineral-Binding Peptides |
| title_full | An Efficient Peptide Screening Method for Mineral-Binding Peptides |
| title_fullStr | An Efficient Peptide Screening Method for Mineral-Binding Peptides |
| title_full_unstemmed | An Efficient Peptide Screening Method for Mineral-Binding Peptides |
| title_short | An Efficient Peptide Screening Method for Mineral-Binding Peptides |
| title_sort | efficient peptide screening method for mineral binding peptides |
| topic | arsenic minerals flotation peptide collector flotation reagent arsenopyrite |
| url | https://www.mdpi.com/2075-163X/14/2/207 |
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