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High-speed force load in force measurement in liquid using scanning probe microscope.

Yan Zhang¹, Qingze Zou

¹Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, New Jersey 08854, USA.

The Review of Scientific Instruments

|February 4, 2012

Summary

This study introduces an inversion-based iterative feedforward-feedback (II-FF/FB) approach for high-speed scanning probe microscopy (SPM) force measurements of soft materials in liquid. This method overcomes challenges like thermal drift and hydrodynamic forces for precise dynamic analysis.

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Area of Science:

Soft Matter Physics
Materials Science
Nanotechnology

Background:

Scanning Probe Microscopy (SPM) is crucial for analyzing soft and biological materials in liquid.
High-speed force measurements are necessary for dynamic sample evolution and viscoelasticity studies.
Liquid environments present challenges including thermal drift, low signal-to-noise ratio, hydrodynamic forces, and actuator dynamics.

Purpose of the Study:

To develop a novel approach for high-speed, precise force loading in liquid using SPM.
To address and mitigate adverse effects impacting force measurements in dynamic liquid environments.
To enable accurate characterization of soft materials under demanding measurement conditions.

Main Methods:

Implementation of an inversion-based iterative feedforward-feedback (II-FF/FB) control strategy.
Experimental application to high-speed force-curve measurements.
Utilizing SPM for force-distance profiling of soft materials in aqueous media.

Main Results:

The II-FF/FB approach successfully achieved high-speed force loading with enhanced precision.
Demonstrated mitigation of thermal drift, hydrodynamic effects, and actuator dynamics.
Enabled accurate force measurements for dynamic analysis of soft materials in liquid.

Conclusions:

The developed II-FF/FB method provides a robust solution for high-speed SPM force measurements in liquid.
This technique is vital for interrogating the mechanical properties of soft and biological materials.
The approach paves the way for advanced characterization of rate-dependent viscoelasticity in dynamic environments.