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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出版年:Separations
主要な著者: Rachel Irankunda, Jairo Andrés Camaño Echavarría, Cédric Paris, Loïc Stefan, Stéphane Desobry, Katalin Selmeczi, Laurence Muhr, Laetitia Canabady-Rochelle
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2022-11-01
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オンライン・アクセス: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
container_title Separations
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.
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spelling doaj-art-e671935ce9fd4e18a0bcf4bf070e28c22025-08-19T22:39:09ZengMDPI 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
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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