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Updated: May 5, 2026

Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid
Published on: December 20, 2016
Nanoscale mechanics by tomographic contact resonance atomic force microscopy
Gheorghe Stan1, Santiago D Solares, Bede Pittenger
1Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA. gheorghe.stan@nist.gov.
This study used contact resonance AFM (CR-AFM) to map the mechanical properties of polymer blends. The technique revealed detailed subsurface features and quantified elastic moduli and energy dissipation.
Area of Science:
- Materials Science
- Polymer Physics
- Surface Science
Background:
- Characterizing polymer blend heterogeneity is crucial for understanding bulk properties.
- Atomic Force Microscopy (AFM) offers high-resolution surface analysis.
- Quantifying subsurface mechanical properties requires advanced AFM techniques.
Purpose of the Study:
- To detail surface and sub-surface features of polystyrene-polypropylene (PS-PP) blends.
- To quantify elastic modulus and mechanical dissipation using depth-dependent measurements.
- To generate tomographic reconstructions of material properties.
Main Methods:
- Utilized quantifiable depth-dependent contact resonance AFM (CR-AFM).
- Analyzed depth-dependences of contact stiffness and indentation depth.
- Employed linear fits for elastic moduli determination.
- Determined contributions of adhesive forces and viscous responses.
Main Results:
- Successfully mapped elastic moduli and mechanical dissipation with depth.
- Generated cross-sectional tomographic images of PS-PP blends.
- Quantified both short-range and long-range adhesive forces.
- Identified distinct viscous responses during adhesion and deformation.
Conclusions:
- CR-AFM provides detailed, depth-resolved mechanical characterization of polymer blends.
- The method allows for unambiguous determination of elastic properties, adhesion, and dissipation.
- Tomographic reconstructions offer valuable insights into subsurface heterogeneity.
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