Analysis of exponential data using a noniterative technique: Application to surface plasmon experiments
Analysis of exponential data using a noniterative technique: Application to surface plasmon experiments
The analysis of experimental data of exponential type plays a central role in many biophysical applications. We introduce a novel noniterative algorithm to analyze the association phase and dissociation phase of surface plasmon resonance experiments. It is shown that this algorithm can determine kinetic constants with a high level of accuracy in the presence of significant levels of noise. This algorithm should provide a valuable alternative to existing data analysis techniques.
Parameter estimation, Subspace algorithm, Surface plasmon resonance
57-65
Ober, Raimund
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Caves, Jeffrey
1e921104-2eae-487a-9ec8-fb92de0b4174
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
1 January 2003
Ober, Raimund
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Caves, Jeffrey
1e921104-2eae-487a-9ec8-fb92de0b4174
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund, Caves, Jeffrey and Ward, E. Sally
(2003)
Analysis of exponential data using a noniterative technique: Application to surface plasmon experiments.
Analytical Biochemistry, 312 (1), .
(doi:10.1016/S0003-2697(02)00431-1).
Abstract
The analysis of experimental data of exponential type plays a central role in many biophysical applications. We introduce a novel noniterative algorithm to analyze the association phase and dissociation phase of surface plasmon resonance experiments. It is shown that this algorithm can determine kinetic constants with a high level of accuracy in the presence of significant levels of noise. This algorithm should provide a valuable alternative to existing data analysis techniques.
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e-pub ahead of print date: 23 November 2002
Published date: 1 January 2003
Keywords:
Parameter estimation, Subspace algorithm, Surface plasmon resonance
Identifiers
Local EPrints ID: 425148
URI: http://eprints.soton.ac.uk/id/eprint/425148
ISSN: 0003-2697
PURE UUID: 97e97450-09fb-4077-8bf4-713c459f0453
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Date deposited: 11 Oct 2018 16:30
Last modified: 18 Mar 2024 03:48
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Author:
Jeffrey Caves
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