Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation
Metal-Chelating Peptides (MCPs), obtained from protein hydrolysates, present various applications in the field of nutrition, pharmacy, cosmetic etc. The separation of MCPs from hydrolysates mixture is challenging, yet, techniques based on peptide-metal ion interactions such as Immobilized Metal Ion...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Separations |
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| Online Access: | https://www.mdpi.com/2297-8739/9/11/370 |
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| author | Rachel Irankunda Jairo Andrés Camaño Echavarría Cédric Paris Loïc Stefan Stéphane Desobry Katalin Selmeczi Laurence Muhr Laetitia Canabady-Rochelle |
| author_facet | Rachel Irankunda Jairo Andrés Camaño Echavarría Cédric Paris Loïc Stefan Stéphane Desobry Katalin Selmeczi Laurence Muhr Laetitia Canabady-Rochelle |
| author_sort | Rachel Irankunda |
| collection | DOAJ |
| description | Metal-Chelating Peptides (MCPs), obtained from protein hydrolysates, present various applications in the field of nutrition, pharmacy, cosmetic etc. The separation of MCPs from hydrolysates mixture is challenging, yet, techniques based on peptide-metal ion interactions such as Immobilized Metal Ion Affinity Chromatography (IMAC) seem to be efficient. However, separation processes are time consuming and expensive, therefore separation prediction using chromatography modelling and simulation should be necessary. Meanwhile, the obtention of sorption isotherm for chromatography modelling is a crucial step. Thus, Surface Plasmon Resonance (SPR), a biosensor method efficient to screen MCPs in hydrolysates and with similarities to IMAC might be a good option to acquire sorption isotherm. This review highlights IMAC experimental methodology to separate MCPs and how, IMAC chromatography can be modelled using transport dispersive model and input data obtained from SPR for peptides separation simulation. |
| first_indexed | 2024-03-09T18:00:32Z |
| format | Article |
| id | doaj.art-e671935ce9fd4e18a0bcf4bf070e28c2 |
| institution | Directory Open Access Journal |
| issn | 2297-8739 |
| language | English |
| last_indexed | 2024-03-09T18:00:32Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Separations |
| spelling | doaj.art-e671935ce9fd4e18a0bcf4bf070e28c22023-11-24T09:59:41ZengMDPI AGSeparations2297-87392022-11-0191137010.3390/separations9110370Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and SimulationRachel Irankunda0Jairo Andrés Camaño Echavarría1Cédric Paris2Loïc Stefan3Stéphane Desobry4Katalin Selmeczi5Laurence Muhr6Laetitia Canabady-Rochelle7Université de Lorraine, CNRS, LRGP, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, LRGP, F-54000 Nancy, FranceUniversité de Lorraine, LIBIO, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, LCPM, F-54000 Nancy, FranceUniversité de Lorraine, LIBIO, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, L2CM, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, LRGP, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, LRGP, F-54000 Nancy, FranceMetal-Chelating Peptides (MCPs), obtained from protein hydrolysates, present various applications in the field of nutrition, pharmacy, cosmetic etc. The separation of MCPs from hydrolysates mixture is challenging, yet, techniques based on peptide-metal ion interactions such as Immobilized Metal Ion Affinity Chromatography (IMAC) seem to be efficient. However, separation processes are time consuming and expensive, therefore separation prediction using chromatography modelling and simulation should be necessary. Meanwhile, the obtention of sorption isotherm for chromatography modelling is a crucial step. Thus, Surface Plasmon Resonance (SPR), a biosensor method efficient to screen MCPs in hydrolysates and with similarities to IMAC might be a good option to acquire sorption isotherm. This review highlights IMAC experimental methodology to separate MCPs and how, IMAC chromatography can be modelled using transport dispersive model and input data obtained from SPR for peptides separation simulation.https://www.mdpi.com/2297-8739/9/11/370chromatography modellingcomplexationIMACpeptideSPRseparation |
| spellingShingle | Rachel Irankunda Jairo Andrés Camaño Echavarría Cédric Paris Loïc Stefan Stéphane Desobry Katalin Selmeczi Laurence Muhr Laetitia Canabady-Rochelle Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation Separations chromatography modelling complexation IMAC peptide SPR separation |
| title | Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation |
| title_full | Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation |
| title_fullStr | Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation |
| title_full_unstemmed | Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation |
| title_short | Metal-Chelating Peptides Separation Using Immobilized Metal Ion Affinity Chromatography: Experimental Methodology and Simulation |
| title_sort | metal chelating peptides separation using immobilized metal ion affinity chromatography experimental methodology and simulation |
| topic | chromatography modelling complexation IMAC peptide SPR separation |
| url | https://www.mdpi.com/2297-8739/9/11/370 |
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