Appetizer on soft matter physics concepts in mechanobiology

Lou, Yuting

doi:10.1111/dgd.12853

Cited by 3 publications

(1 citation statement)

References 148 publications

(188 reference statements)

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“…The dynamic processes in networks of ionizable polymers drive their unique characteristics and enable their many current and potential applications in lightweight technologies ranging from clean energy generation and storage to biotechnology. − Their structure and dynamics in melts and solutions are governed by the coupling of two distinctive energy scales, van der Waals interactions and electrostatic forces, resulting in the coupling of responses on multiple length and time scales. Beyond ionizable polymeric networks, the coupling between processes that occur on distinctive length scales is a key to resolving the behavior of associative soft materials including networks, gels and nanoparticles-polymer hybrids as well as polymer-membrane complexes, all driven by dynamic constraints formed by physical association of chains. − …”

Section: Introductionmentioning

confidence: 99%

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

Kosgallana,

Wijesinghe,

Senanayake

et al. 2024

ACS Polym. Au

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The association of ionizable polymers strongly affects their motion in solutions, where the constraints arising from clustering of the ionizable groups alter the macroscopic dynamics. The interrelation between the motion on multiple length and time scales is fundamental to a broad range of complex fluids including physical networks, gels, and polymer−nanoparticle complexes where long-lived associations control their structure and dynamics. Using neutron spin echo and fully atomistic, multimillion atom molecular dynamics (MD) simulations carried out to times comparable to that of chain segmental motion, the current study resolves the dynamics of networks formed by suflonated polystryene solutions for sulfonation fractions 0 ≤ f ≤ 0.09 across time and length scales. The experimental dynamic structure factors were measured and compared with computational ones, calculated from MD simulations, and analyzed in terms of a sum of two exponential functions, providing two distinctive time scales. These time constants capture confined motion of the network and fast dynamics of the highly solvated segments. A unique relationship between the polymer dynamics and the size and distribution of the ionic clusters was established and correlated with the number of polymer chains that participate in each cluster. The correlation of dynamics in associative complex fluids across time and length scales, enabled by combining the understanding attained from reciprocal space through neutron spin echo and real space, through large scale MD studies, addresses a fundamental long-standing challenge that underline the behavior of soft materials and affect their potential uses.

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Section: Introductionmentioning

confidence: 99%

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

Kosgallana,

Wijesinghe,

Senanayake

et al. 2024

ACS Polym. Au

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Conserved physical mechanisms of cell and tissue elongation

Boutillon,

Banavar,

Campàs

2024

Development

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Living organisms have the ability to self-shape into complex structures appropriate for their function. The genetic and molecular mechanisms that enable cells to do this have been extensively studied in several model and non-model organisms. In contrast, the physical mechanisms that shape cells and tissues have only recently started to emerge, in part thanks to new quantitative in vivo measurements of the physical quantities guiding morphogenesis. These data, combined with indirect inferences of physical characteristics, are starting to reveal similarities in the physical mechanisms underlying morphogenesis across different organisms. Here, we review how physics contributes to shape cells and tissues in a simple, yet ubiquitous, morphogenetic transformation: elongation. Drawing from observed similarities across species, we propose the existence of conserved physical mechanisms of morphogenesis.

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Biomaterials Mimicking Mechanobiology: A Specific Design for a Specific Biological Application

Donati,

Valicenti,

Giannoni

et al. 2024

IJMS

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Mechanosensing and mechanotransduction pathways between the Extracellular Matrix (ECM) and cells form the essential crosstalk that regulates cell homeostasis, tissue development, morphology, maintenance, and function. Understanding these mechanisms involves creating an appropriate cell support that elicits signals to guide cellular functions. In this context, polymers can serve as ideal molecules for producing biomaterials designed to mimic the characteristics of the ECM, thereby triggering responsive mechanisms that closely resemble those induced by a natural physiological system. The generated specific stimuli depend on the different natural or synthetic origins of the polymers, the chemical composition, the assembly structure, and the physical and surface properties of biomaterials. This review discusses the most widely used polymers and their customization to develop biomaterials with tailored properties. It examines how the characteristics of biomaterials-based polymers can be harnessed to replicate the functions of biological cells, making them suitable for biomedical and biotechnological applications.

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Appetizer on soft matter physics concepts in mechanobiology

Cited by 3 publications

References 148 publications

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

From Molecular Constraints to Macroscopic Dynamics in Associative Networks Formed by Ionizable Polymers: A Neutron Spin Echo and Molecular Dynamics Simulations Study

Conserved physical mechanisms of cell and tissue elongation

Biomaterials Mimicking Mechanobiology: A Specific Design for a Specific Biological Application

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