Atomic force microscopy (AFM)-based nanoindentation enables investigation of the mechanical response of biological materials at a subcellular scale. However, quantitative estimates of mechanical parameters such as the elastic modulus (E) remain unreliable because the influence of sample roughness on E measurements at the nanoscale is still poorly understood. This study re-examines the interpretation of roughness from a more rigorous perspective and validates an experimental methodology to extract roughness at each nanoindentation site—i.e., the local roughness γs—with which the corresponding E value can be accurately correlated. Cortical regions of a murine tibia cross-section, characterized by complex nanoscale morphology, were selected as a testbed. Eighty non-overlapping nanoindentations were performed using two different AFM tips, maintaining a maximum penetration depth of 10 nm for each measurement. Our results show a slight decreasing trend of E versus γs (Spearman’s rank correlation coefficient ρ = −0.27187). A total of 90% of the E values are reliable when γs < 10 nm (coefficient of determination R2 > 0.90), although low γs values are associated with significant dispersion around E (γs = 0) = E0 = 1.18 GPa, with variations exceeding 50%. These findings are consistent with a qualitative tip-to-sample contact model that accounts for the pronounced roughness heterogeneity typical of bone topography at the nanoscale.
Gambardella, A., Marchiori, G., Maglio, M., Boi, M., Montesissa, M., Bertacchini, J., et al. (2025). On the Interplay Between Roughness and Elastic Modulus at the Nanoscale: A Methodology Study with Bone as Model Material. JOURNAL OF FUNCTIONAL BIOMATERIALS, 16(8), 1-14 [10.3390/jfb16080276].
On the Interplay Between Roughness and Elastic Modulus at the Nanoscale: A Methodology Study with Bone as Model Material
Maglio, Melania;Montesissa, Matteo;Bertacchini, Jessika;Baldini, Nicola;Bontempi, Marco
2025
Abstract
Atomic force microscopy (AFM)-based nanoindentation enables investigation of the mechanical response of biological materials at a subcellular scale. However, quantitative estimates of mechanical parameters such as the elastic modulus (E) remain unreliable because the influence of sample roughness on E measurements at the nanoscale is still poorly understood. This study re-examines the interpretation of roughness from a more rigorous perspective and validates an experimental methodology to extract roughness at each nanoindentation site—i.e., the local roughness γs—with which the corresponding E value can be accurately correlated. Cortical regions of a murine tibia cross-section, characterized by complex nanoscale morphology, were selected as a testbed. Eighty non-overlapping nanoindentations were performed using two different AFM tips, maintaining a maximum penetration depth of 10 nm for each measurement. Our results show a slight decreasing trend of E versus γs (Spearman’s rank correlation coefficient ρ = −0.27187). A total of 90% of the E values are reliable when γs < 10 nm (coefficient of determination R2 > 0.90), although low γs values are associated with significant dispersion around E (γs = 0) = E0 = 1.18 GPa, with variations exceeding 50%. These findings are consistent with a qualitative tip-to-sample contact model that accounts for the pronounced roughness heterogeneity typical of bone topography at the nanoscale.| File | Dimensione | Formato | |
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