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Article Dans Une Revue Journal of Separation Science Année : 2020

Chromatographic separation simulation of metal-chelating peptides from surface plasmon resonance binding parameters

Résumé

This study aimed to simulate their separation on immobilized metal ion affinity chromatography from their affinity constant for immobilized metal ion determined in surface plasmon resonance, both technics are based on peptide-metal ion interactions. In our approach, first, the affinity constant of synthetic peptides was determined by surface plasmon resonance and used as input data to numerically simulate the chromatographic separation with a transport-dispersive model based on Langmuir adsorption isotherm. Then, chromatographic separation was applied on the same peptides to determine their retention time and compare this experimental t R with the simulated t R obtained from simulation from surface plasmon resonance data. For the investigated peptides, the relative values of t R were comparable. Hence, our study demonstrated the pertinence of such numerical simulation correlating immobilized metal ion affinity chromatography and surface plasmon resonance.
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Dates et versions

hal-02938784 , version 1 (21-09-2020)

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Laurence Muhr, Steve Pontvianne, Katalin Selmeczi, Cédric Paris, Sandrine Boschi-Muller, et al.. Chromatographic separation simulation of metal-chelating peptides from surface plasmon resonance binding parameters. Journal of Separation Science, 2020, 43 (11), pp.2031-2041. ⟨10.1002/jssc.201900882⟩. ⟨hal-02938784⟩
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