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Analytical and Bioanalytical Chemistry

, Volume 390, Issue 5, pp 1253–1260 | Cite as

Force microscopy analysis using chemometric tools

  • Christian Budich
  • Jonathan West
  • Peter Lampen
  • Volker Deckert
Paper in Forefront
  • 116 Downloads

Abstract

In this paper we report the first application of multivariate data analysis techniques to force spectrometry measurement sets to enable the physicochemical assignment of spatially ordered multi-component systems. Principal component analysis (PCA) and hierarchical clustering techniques were used to reveal hidden chemical information within force-distance curves generated by high spatial resolution force microscopy. Two experimental samples were analyzed: (i) a two-component system of cytochrome c proteins on a mica surface, and (ii) a three-component system of avidin protein islands positioned on a gold and glass surface. PCA and hierarchical clustering techniques were used to discriminate the different components of the two-component system, whereas hierarchical clustering was found to be superior for the three-component system. Results were in good agreement with the topography and prior knowledge of the surface patterns. This research represents a formative step towards the combination of force spectrometry with chemometric tools for the high resolution physicochemical investigation of complex biochemical systems.

Keywords

Interface Surface analysis Chemometrics Statistics AFM (atomic force microscopy) Force spectroscopy Force-distance curves 

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Christian Budich
    • 1
  • Jonathan West
    • 1
  • Peter Lampen
    • 1
  • Volker Deckert
    • 1
  1. 1.ISAS - Institute for Analytical SciencesDortmundGermany

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