The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Quantitative Mapping of the Elastic Modulus of Soft Materials with HarmoniX and PeakForce QNM AFM Modes
Abstract
The modulus of elasticity of soft materials on the nanoscale is of interest when studying thin films, nanocomposites, and biomaterials. Two novel modes of atomic force microscopy (AFM) have been introduced recently: HarmoniX and PeakForce QNM. Both modes produce distribution maps of the elastic modulus over the sample surface. Here we investigate the question of how quantitative these maps are when studying soft materials. Three different polymers with a macroscopic Young's modulus of 0.6-0.7 GPa (polyurethanes) and 2.7 GPa (polystyrene) are analyzed using these new modes. The moduli obtained are compared to the data measured with the other commonly used techniques, dynamic mechanical analyzer (DMA), regular AFM, and nanoindenter. We show that the elastic modulus is overestimated in both the HarmoniX and PeakForce QNM modes when using regular sharp probes because of excessively overstressed material in the samples. We further demonstrate that both AFM modes can work in the linear stress-strain regime when using a relatively dull indentation probe (starting from ~210 nm). The analysis of the elasticity models to be used shows that the JKR model should be used for the samples considered here instead of the DMT model, which is currently implemented in HarmoniX and PeakForce QNM modes. Using the JKR model and ~240 nm AFM probe in the PeakForce QNM mode, we demonstrate that a quantitative mapping of the elastic modulus of polymeric materials is possible. A spatial resolution of ~50 nm and a minimum 2 to 3 nm indentation depth are achieved.
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Cites
Oliver, W. C., & Pharr, G. M. (2004) · Journal of materials research/Pratt's guide to venture capital sources · doi:10.1557/jmr.2004.0002 · Cited by 8,190
Surface energy and the contact of elastic solids
Johnson, K. L., Kendall, K., & Roberts, A. D. (1971) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1971.0141 · Cited by 8,061
Effect of contact deformations on the adhesion of particles
Derjaguin, B. V., Muller, V. M., & Toporov, Y. P. (1975) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(75)90018-1 · Cited by 4,589
Calibration of atomic-force microscope tips
Hutter, J. L., & Bechhoefer, J. (1993) · Review of Scientific Instruments · doi:10.1063/1.1143970 · Cited by 4,194
Force measurements with the atomic force microscope: Technique, interpretation and applications
Butt, H.-J., Cappella, B., & Kappl, M. (2005) · Surface Science Reports · doi:10.1016/j.surfrep.2005.08.003 · Cited by 3,709
Dynamic atomic force microscopy methods
García, R. (2002) · Surface Science Reports · doi:10.1016/s0167-5729(02)00077-8 · Cited by 2,076
Nanomechanical analysis of cells from cancer patients
Cross, S. E., Jin, Y.-S., Rao, J., & Gimzewski, J. K. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.388 · Cited by 1,908
Force-distance curves by atomic force microscopy
Cappella, B., & Dietler, G. (1999) · Surface Science Reports · doi:10.1016/s0167-5729(99)00003-5 · Cited by 1,694
Surface forces and surface interactions
Tabor, D. (1977) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(77)90366-6 · Cited by 1,265
Determination of Elastic Moduli of Thin Layers of Soft Material Using the Atomic Force Microscope
Dimitriadis, E. K., Horkay, F., Maresca, J., Kachar, B., & Chadwick, R. S. (2002) · Biophysical Journal · doi:10.1016/s0006-3495(02)75620-8 · Cited by 1,230
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Liu, W., Wang, Y., Xiang, S., & Liu, H. (2024) · Polymer · doi:10.1016/j.polymer.2024.126815 · Cited by 55
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Metadata
- Authors
- Dokukin, M. E., & Sokolov, I.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-11-12
- Volume
- 28
- Issue
- 46
- Pages
- 16060-16071
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2054245765
- Cited by
- 385
- References
- 57
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- closed
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