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Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
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Automated analysis of soft material microindentation.

Henry E Symons1, Agostino Galanti1,2, Joseph C Surmon3

  • 1School of Chemistry, University of Bristol, Bristol, BS8 1TS, UK.

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|October 26, 2022
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Summary

Instrumented microindentation offers a versatile method for measuring soft hydrogel mechanical properties across large areas. A new algorithm accurately determines Young

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Area of Science:

  • Materials Science
  • Biomaterials Engineering
  • Mechanical Engineering

Background:

  • Accurate characterization of soft hydrogel mechanical properties is crucial for diverse applications.
  • Existing techniques offer either bulk or nanoscale insights, leaving a gap in multiscale mechanical analysis.
  • Heterogeneity and variations in stiffness across hydrogel surfaces require advanced characterization methods.

Purpose of the Study:

  • To introduce instrumented microindentation as a complementary technique for assessing soft hydrogel mechanical properties.
  • To develop an automated data analysis algorithm for efficient processing of microindentation data.
  • To demonstrate the capability of mapping mechanical properties over macroscopic areas of hydrogels.

Main Methods:

  • Utilized instrumented microindentation to probe the mechanical behavior of various hydrogel systems.
  • Developed a novel fitting algorithm for automated analysis of indentation load-displacement curves.
  • The algorithm identifies regions free from inelastic deformation and substrate effects for accurate Young's modulus determination.

Main Results:

  • Instrumented microindentation provides representative Young's moduli with minimal experimental parameter influence.
  • The developed algorithm successfully processes imperfect indentation data, enabling robust analysis.
  • Mechanical property mapping was achieved across macroscopic areas, revealing stiffness variations in patterned and gradient hydrogels.

Conclusions:

  • Instrumented microindentation, coupled with the new analysis algorithm, offers a powerful tool for multiscale mechanical characterization of soft materials.
  • This approach overcomes limitations of traditional methods by providing spatially resolved mechanical property data.
  • The technique is broadly applicable to the mechanical analysis of soft and biological materials, including those with complex stiffness profiles.