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Increasing throughput of surface plasmon resonance–based biosensors by multiple analyte injections
Author(s) -
Mehand Massinissa Si,
Srinivasan Bala
Publication year - 2012
Publication title -
journal of molecular recognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 79
eISSN - 1099-1352
pISSN - 0952-3499
DOI - 10.1002/jmr.2172
Subject(s) - surface plasmon resonance , analyte , biosensor , biomolecule , throughput , kinetic energy , biological system , response surface methodology , surface plasmon , resonance (particle physics) , computer science , nanotechnology , chemistry , plasmon , materials science , chromatography , nanoparticle , optoelectronics , physics , telecommunications , quantum mechanics , particle physics , wireless , biology
Surface plasmon resonance–based biosensors are now acknowledged as robust and reliable instruments to determine the kinetic parameters related to the interactions between biomolecules. These kinetic parameters are used in screening campaigns: there is a considerable interest in reducing the experimental time, thus improving the throughput of the surface plasmon resonance assays. Kinetic parameters are typically obtained by analyzing data from several injections of a given analyte at different concentrations over a surface where its binding partner has been immobilized. It has been already proven that an iterative optimization approach aiming at determining optimal analyte injections to be performed online can significantly reduce the experimentation time devoted to kinetic parameter determination, without any detrimental effect on their standard errors. In this study, we explore the potential of this iterative optimization approach to further reduce experiment duration by combining it with the simultaneous injection of two analytes. Copyright © 2012 John Wiley & Sons, Ltd.