Literature DB >> 15745019

Viscoelasticity of gelatin surfaces probed by AFM noise analysis.

Farida Benmouna1, Diethelm Johannsmann.   

Abstract

The viscoelastic properties of surfaces of swollen gelatin were investigated by analyzing the Brownian motion of an atomic force microscopy (AFM) cantilever in contact with the gel surface. A micron-sized glass sphere attached to the AFM cantilever is used as the dynamic probe. When the sphere approaches the gelatin surface, there is a static repulsive force without a jump into contact. The cantilever's Brownian movement is monitored in parallel, providing access to the dynamic sphere-surface interaction as quantified by the dynamic spring constant, kappa, and the drag coefficient, xi. Gelatin is used as a model substance for a variety of other soft surfaces, where the stiffness of the gel can be varied via the solvent quality, the bloom number, and the pH. The modulus derived from the static force-distance curve is in the kPa range, consistent with the literature. However, the dynamic spring constant as derived from the Brownian motion is much larger than the static differential spring constant dF/dz. On retraction, one observes a rather strong adhesion hysteresis. The strength of the bridge (as given by the dynamic spring constant and the drag coefficient) is very small.

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Year:  2004        PMID: 15745019     DOI: 10.1021/la0355794

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  2 in total

1.  Multifunctional layered magnetic composites.

Authors:  Maria Siglreitmeier; Baohu Wu; Tina Kollmann; Martin Neubauer; Gergely Nagy; Dietmar Schwahn; Vitaliy Pipich; Damien Faivre; Dirk Zahn; Andreas Fery; Helmut Cölfen
Journal:  Beilstein J Nanotechnol       Date:  2015-01-12       Impact factor: 3.649

2.  Visualization of Au Nanoparticles Buried in a Polymer Matrix by Scanning Thermal Noise Microscopy.

Authors:  Atsushi Yao; Kei Kobayashi; Shunta Nosaka; Kuniko Kimura; Hirofumi Yamada
Journal:  Sci Rep       Date:  2017-02-17       Impact factor: 4.379

  2 in total

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