Statistical Pull Off of Nanoparticles Adhering to Compliant Substrates

Lin, Ji; Lin, Yuan; Qian, Jin

doi:10.1021/la404153t

Cited by 15 publications

(9 citation statements)

References 35 publications

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“…For example, by treating the separation process as a thermally activated escape from an energy well [95], the average time for the forced detachment, between a nanosized spherical particle and a soft substrate in adhesive contact (Figure 10a), to take place is shown in Figure 10b. Evidently, in direct contrast to that from deterministic considerations, detachment can occur even if the pulling force is well below the critical pull-off level.…”

Section: Non-specific Adhesion On Wavy/rough Surfacesmentioning

confidence: 99%

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Biomaterial nanotopography-mediated cell responses: experiment and modeling

Yang

Liu

Lin

2014

International Journal of Smart and Nano Materials

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The rapid development of fabrication and processing technologies in the past two decades has enabled researchers to introduce nanoscale features into materials which, interestingly, have been shown to greatly regulate the behavior and fate of biological cells. In particular, important cell responses (such as adhesion, proliferation, differentiation, migration, and filopodial growth) have all been correlated with material nanotopography. Given its great potential, intensive efforts have been made, both experimentally and theoretically, to understand why and how cells respond to nanoscale surface features, and this article reviews recent progress in this field. Specifically, a brief overview on the fabrication and modification techniques to create nanotopography on different materials is given first. After that, a summary of important experimental findings on the mediation of nanoscale surface topography on the behavior of various cells, as well as the underlying mechanism, is provided. Finally, both classical and recently developed approaches for modeling nanotopographymediated cell adhesion and filopodial growth are reviewed.

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Section: Non-specific Adhesion On Wavy/rough Surfacesmentioning

confidence: 99%

“…Corresponding predictions from the deterministic Maugis model [94] are also shown by dashed lines (modified with permission from [95]). …”

Section: Modeling Specific Adhesionmentioning

confidence: 99%

Biomaterial nanotopography-mediated cell responses: experiment and modeling

Yang

Liu

Lin

2014

International Journal of Smart and Nano Materials

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“…when adhesion has been completely disrupted before axotomy). However, for adherent axons, our observations clearly showed that beading sites may co-localize with strong adhesion regions, indicting the role of cell adhesion [34,48–51] in the initial growth/nucleation of beads. This heterogeneous effect could also arise from the internal structure of the axon where discontinuous gaps between the ends of microtubules as well as their connection with the cytoskeleton and membrane may exist, which can certainly play a role in bead formation [31,32].…”

Section: Conclusion and Discussionmentioning

confidence: 77%

Beading of injured axons driven by tension- and adhesion-regulated membrane shape instability

Shao

Sørensen

Xia

et al. 2020

J. R. Soc. Interface.

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The formation of multiple beads along an injured axon will lead to blockage of axonal transport and eventually neuron death, and this has been widely recognized as a hallmark of nervous system degeneration. Nevertheless, the underlying mechanisms remain poorly understood. Here, we report a combined experimental and theoretical study to reveal key factors governing axon beading. Specifically, by transecting well-developed axons with a sharp atomic force microscope probe, significant beading of the axons was triggered. We showed that adhesion was not required for beading to occur, although when present strong axon–substrate attachments seemed to set the locations for bead formation. In addition, the beading wavelength, representing the average distance between beads, was found to correlate with the size and cytoskeleton integrity of axon, with a thinner axon or a disrupted actin cytoskeleton both leading to a shorter beading wavelength. A model was also developed to explain these observations which suggest that axon beading originates from the shape instability of the membrane and is driven by the release of work done by axonal tension as well as the reduction of membrane surface energy. The beading wavelength predicted from this theory was in good agreement with our experiments under various conditions. By elucidating the essential physics behind axon beading, the current study could enhance our understanding of how axonal injury and neurodegeneration progress as well as provide insights for the development of possible treatment strategies.

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“…Lin and coworkers 29 have developed a model for the force required to remove a nanoparticle from a substrate. Similarly, mean-field theory has been used to measure how confinement effects the interactions between assemblies of nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Coating thickness and coverage effects on the forces between silica nanoparticles in water

Salerno

Ismail

Lane

et al. 2014

The Journal of Chemical Physics

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The structure and interactions of coated silica nanoparticles have been studied in water using molecular dynamics simulations. For 5 nm diameter amorphous silica nanoparticles, we studied the effects of varying the chain length and grafting density of polyethylene oxide on the nanoparticle coating's shape and on nanoparticle-nanoparticle effective forces. For short ligands of length n = 6 and n = 20 repeat units, the coatings are radially symmetric while for longer chains (n = 100) the coatings are highly anisotropic. This anisotropy appears to be governed primarily by chain length, with coverage playing a secondary role. For the largest chain lengths considered, the strongly anisotropic shape makes fitting to a simple radial force model impossible. For shorter ligands, where the coatings are isotropic, we found that the force between pairs of nanoparticles is purely repulsive and can be fit to the form (R/2r(core) - 1)(-b) where R is the separation between the center of the nanoparticles, r(core) is the radius of the silica core, and b is measured to be between 2.3 and 4.1.

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Statistical Pull Off of Nanoparticles Adhering to Compliant Substrates

Cited by 15 publications

References 35 publications

Biomaterial nanotopography-mediated cell responses: experiment and modeling

Biomaterial nanotopography-mediated cell responses: experiment and modeling

Beading of injured axons driven by tension- and adhesion-regulated membrane shape instability

Coating thickness and coverage effects on the forces between silica nanoparticles in water

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