Blood-clotting-inspired reversible polymer–colloid composite assembly in flow

Chen, Hsieh; Fallah, Maryam; Huck, Volker; Angerer, Jennifer I.; Reininger, Armin J.; Schneider, Stefan W.; Schneider, Mat­thias; Alexander‐Katz, Alfredo

doi:10.1038/ncomms2326

Cited by 69 publications

(101 citation statements)

References 33 publications

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“…While the structural properties of clusters can be very complex, studies show that it depends on the aggregation procedure and can be controlled by it [25,72,75]. In this work, PC clusters are assembled with mechanical and structural details close to real clusters, which are formed in shear flow (Fig.…”

Section: Validationmentioning

confidence: 91%

“…Accordingly, the probability distribution function (PDFs) of the angles θ and φ are required for calculation of Eq. (25). The derivation of the PDFs P φ (φ,λ) and P θ (θ,λ) are discussed in detail in Appendixes B and C, respectively.…”

Section: E Constitutive Modelmentioning

confidence: 99%

“…In shear flow, the formation of polymer-colloid aggregates is mainly controlled by the competition between the time scales of the polymer unbinding from the colloid versus the rotation or collision time of the colloid. If the polymer unbinding time is significantly longer than the rotation and collision time of the colloid, then the polymers wrap around the colloids and initiate the aggregation process [25,75]. Depending on partial or full wrapping of the polymers on the colloids, the shear-induced aggregates are classified into "no," "loose," "dense," and "log-rolling" aggregates under shear ratesγ τ ≈ 0.01 to 0.1, 0.2 to 0.5, 0.6 to 1, and 2, respectively.…”

Section: A Simulation Of Clusters By Brownian Dynamicsmentioning

confidence: 99%

“…Depending on partial or full wrapping of the polymers on the colloids, the shear-induced aggregates are classified into "no," "loose," "dense," and "log-rolling" aggregates under shear ratesγ τ ≈ 0.01 to 0.1, 0.2 to 0.5, 0.6 to 1, and 2, respectively. Here, we focused only on the dense aggregates assembled under shear rateγ τ = 0.8 with characteristic unbinding energy E UB = 6k B T [25,75], in which the colloids are wrapped by the polymers and the film of polymer layer between adjacent particles is the main source of attractive forces between particles.…”

Section: A Simulation Of Clusters By Brownian Dynamicsmentioning

confidence: 99%

“…Numerous simulations, experiments, and empirical studies on the mechanics of PC composites have provided us with a good understanding of their behavior at macroscales [10,24,25]. In particular, the mechanical behavior of PC clusters is extensively studied by the rubber community in order to describe the role of silica and carbon black networks on rubber softening during deformation.…”

Section: Introductionmentioning

confidence: 99%

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Micromechanical model for isolated polymer-colloid clusters under tension

et al. 2016

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Binary polymer-colloid (PC) composites form the majority of biological load-bearing materials. Due to the abundance of the polymer and particles, and their simple aggregation process, PC clusters are used broadly by nature to create biomaterials with a variety of functions. However, our understanding of the mechanical features of the clusters and their load transfer mechanism is limited. Our main focus in this paper is the elastic behavior of close-packed PC clusters formed in the presence of polymer linkers. Therefore, a micromechanical model is proposed to predict the constitutive behavior of isolated polymer-colloid clusters under tension. The mechanical response of a cluster is considered to be governed by a backbone chain, which is the stress path that transfers most of the applied load. The developed model can reproduce the mean behavior of the clusters and is not dependent on their local geometry. The model utilizes four geometrical parameters for defining six shape descriptor functions which can affect the geometrical change of the clusters in the course of deformation. The predictions of the model are benchmarked against an extensive set of simulations by coarse-grained-Brownian dynamics, where clusters with different shapes and sizes were considered. The model exhibits good agreement with these simulations, which, besides its relative simplicity, makes the model an excellent add-on module for implementation into multiscale models of nanocomposites.

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Section: Validationmentioning

confidence: 91%

Section: E Constitutive Modelmentioning

confidence: 99%

Section: A Simulation Of Clusters By Brownian Dynamicsmentioning

confidence: 99%

Section: A Simulation Of Clusters By Brownian Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Micromechanical model for isolated polymer-colloid clusters under tension

et al. 2016

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Shear‐Induced Aggregation of Mammalian Synovial Fluid Components under Boundary Lubrication Conditions

Banquy

Lee

Das

et al. 2014

Adv Funct Materials

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The lubricating and structural properties of different mammalian synovial fluids in thin films undergoing shear between two mica surfaces are studied in detail using a surface force apparatus (SFA). A 10–13 nm thick film of synovial components (proteins, lipids, and polymers) adsorbs on the mica surfaces in less than an hour of incubation time, and induces a strong repulsion between the surfaces that prevents them from coming into contact. Upon shearing, the structure of the confined synovial fluid changes dramatically when sheared above a “critical” shear rate of about 2 s−1 (corresponding to approximately 40 nm s−1). Above this critical shear rate and up to at least 70 μm s−1, the proteins and biopolymers in the fluid gradually aggregate to form a homogenous gel layer on each mica surface. As shearing continues, the gel layer gradually breaks up into discrete/individual gel particles that can roll in the contact keeping the sheared surfaces far apart even under high compressive loads (pressure P ≈ 20 MPa). These particles eventually become elongated and finally behave as roller bearings. This mechanism is consistently observed for three mammalian synovial fluids and two types of surfaces suggesting that it actually occurs in articular joints and prostetic implants in vivo. The implications of these findings for joints and prosthetic implants structure and lubrication are discussed; in particular the formation and function of the lamina splendens.

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