AVS 50th International Symposium
    Biomaterial Interfaces Monday Sessions
       Session BI-MoM

Paper BI-MoM2
Identification of Proteins in the Presence of Topographic Features using TOF-SIMS

Monday, November 3, 2003, 8:40 am, Room 307

Session: Protein-Surface Interactions
Presenter: S. Rangarajan, University of Utah
Authors: S. Rangarajan, University of Utah
B.J. Tyler, University of Utah
Correspondent: Click to Email
In an earlier study, we had demonstrated the use of statistical modeling using mixture models and Principal Components Analysis (PCA) in characterizing samples having a relatively simple chemistry and coupled with topographical features. This study involves a very important extension to analysis of samples with more complex chemistry, such as with proteins. ToF-SIMS has been extensively used to characterize proteins, in spite of the inherent difficulties associated with spectral interpretation.@footnote 1,2@ Multivariate methods have also proved to be invaluable in the discrimination of adsorbed proteins on flat substrates.@footnote 3@ In this study, Polystyrene micro-spheres were adsorbed with different proteins and statistical models as well as discriminant techniques such as PCA were used to analyze the ToF-SIMS images. Discrimination of protein spectra from the images was then performed using the afore mentioned techniques, without a priori information about the type of protein adsorbed onto the sphere surfaces. Some of the models, such as the multinomial mixture model were found to yield more information than previously thought. References. @FootnoteText@ @footnote 1@ M.S.Wagner and D. G. Castner, Langmuir 17, 4649 (2001). @footnote 2@ D. S. Mantus and B. D.Ratner, Analytical Chemistry 65, 1431 (1993).@footnote 3@ M.S.Wagner, B.J.Tyler, and D. G. Castner, Analytical Chemistry 74, 1824 (2002).