2016
DOI: 10.1039/c5sm02863a
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Influence of polymer shape on depletion potentials and crowding in colloid–polymer mixtures

Abstract: Depletion-induced interactions between colloids in colloid-polymer mixtures depend in range and strength on size, shape, and concentration of depletants. Crowding by colloids in turn affects shapes of polymer coils, such as biopolymers in biological cells. By simulating hard-sphere colloids and random-walk polymers, modeled as fluctuating ellipsoids, we compute depletion-induced potentials and polymer shape distributions. Comparing results with exact density-functional theory calculations, molecular simulation… Show more

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Cited by 20 publications
(34 citation statements)
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References 79 publications
(138 reference statements)
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“…Close agreement between polymer field theory predictions and the potentials output by our simulations, which use as input the penetration free energy predicted by the same theory, not only validates the ellipsoidal polymer model, but also confirms the self-consistency of the field theories. We emphasize, however, that our approach, unlike the field theories, can be applied also in the colloid limit [116].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Close agreement between polymer field theory predictions and the potentials output by our simulations, which use as input the penetration free energy predicted by the same theory, not only validates the ellipsoidal polymer model, but also confirms the self-consistency of the field theories. We emphasize, however, that our approach, unlike the field theories, can be applied also in the colloid limit [116].…”
Section: Resultsmentioning
confidence: 99%
“…A mixture of hard nanospheres and nonadsorbing polymers is characterized by the number densities of the two species, n n and n p , the nanosphere radius R n , and the rms radius of gyration R g of free (uncrowded) polymer. In the colloid limit (R g < R n ), in which the polymer coils are impenetrable to particles, the effective polymer size must be calibrated in order to consistently and accurately account for the polymer excluded volume [116]. In the protein limit (R g ≫ R n ), in which polymer penetration supplants excluded volume, it is instead the penetration energy that must be calibrated, as explained below (Sec.…”
Section: B Polymer-nanoparticle Mixturesmentioning
confidence: 99%
“…Nevertheless, for our system the AO polymer model has several drawbacks. Treating polymers as spherical objects is by itself a crude approximation, as is a neglect of polymer shape fluctuations [9][10][11]51 . We also note that water is a good solvent for PEG, i.e., even the ideal polymer model that the AO aims to simplify, is inappropriate for our system.…”
Section: Comparing With Ao Theorymentioning
confidence: 99%
“…A colloidal dispersion with non-adsorbing polymers form an especially useful model system. Various theoretical models of particle-polymer mixtures have been utilized in previous work, aiming to quantify the various interactions and to establish how they affect the macroscopic properties [5][6][7][8][9][10][11] . Several experimental methods are available to elucidate the structure of particlepolymer mixtures, which can then be compared with the model predictions [12][13][14][15][16][17][18][19][20] .…”
Section: Introductionmentioning
confidence: 99%
“…Crowding agents modify the eigenvalue probability distributions and, in turn, the rms radius of gyration and asphericity of a polymer. As in our previous studies of crowding of RW polymers in a θ solvent [63][64][65], our model extends the classic Asakura-Oosawa-Vrij (AOV) model of colloid-polymer mixtures [66,67], which idealizes nonadsorbing polymers as effective spheres of fixed size (radius of gyration). Although qualitatively describing depletion-induced demixing of colloid-polymer mixtures, the AOV model completely neglects polymer conformational fluctuations, the influence of crowding on polymer size and shape, and the penetrability of polymers by smaller colloids (nanoparticles).…”
Section: A Coarse-grained Model Of Polymer Coilmentioning
confidence: 88%