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Anal Biochem. 2003 Jan 1;312(1):57-65.

Analysis of exponential data using a noniterative technique: application to surface plasmon experiments.

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Center for Systems, Communications and Signal Processing, Eric Jonsson School of Electrical Engineering and Computer Science, University of Texas at Dallas, Richardson, TX 75083-0688, USA.


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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