Journal article
Poroelasticity of Cartilage at the Nanoscale
Biophysical journal, v 101(9), pp 2304-2313
02 Nov 2011
PMID: 22067171
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Atomic-force-microscopy-based oscillatory loading was used in conjunction with finite element modeling to quantify and predict the frequency-dependent mechanical properties of the superficial zone of young bovine articular cartilage at deformation amplitudes,
δ
, of ∼15 nm; i.e., at macromolecular length scales. Using a spherical probe tip (
R
∼ 12.5
μ
m), the magnitude of the dynamic complex indentation modulus, |
E
∗
|, and phase angle,
ϕ
, between the force and tip displacement sinusoids, were measured in the frequency range
f
∼ 0.2–130 Hz at an offset indentation depth of
δ
0
∼ 3
μ
m. The experimentally measured |
E
∗
| and
ϕ
corresponded well with that predicted by a fibril-reinforced poroelastic model over a three-decade frequency range. The peak frequency of phase angle,
f
peak
, was observed to scale linearly with the inverse square of the contact distance between probe tip and cartilage, 1/
d
2
, as predicted by linear poroelasticity theory. The dynamic mechanical properties were observed to be independent of the deformation amplitude in the range
δ
= 7–50 nm. Hence, these results suggest that poroelasticity was the dominant mechanism underlying the frequency-dependent mechanical behavior observed at these nanoscale deformations. These findings enable ongoing investigations of the nanoscale progression of matrix pathology in tissue-level disease.
Metrics
Details
- Title
- Poroelasticity of Cartilage at the Nanoscale
- Creators
- Hadi Tavakoli Nia - Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts Center for Biomedical Engineering, Massachusetts Institute of Technology, Cambridge, MassachusettsLin Han - Massachusetts Institute of TechnologyYang Li - Massachusetts Institute of TechnologyChristine Ortiz - Massachusetts Institute of TechnologyAlan Grodzinsky - Massachusetts Institute of Technology
- Publication Details
- Biophysical journal, v 101(9), pp 2304-2313
- Publisher
- The Biophysical Society
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000296669800028
- Scopus ID
- 2-s2.0-80455137050
- Other Identifier
- 991019186973204721
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- Web of Science research areas
- Biophysics