Abstract It is commonly realized that polydispersity may significantly affect the surface modification properties of polymer brush systems. In light of this, we systematically study morphologies of bidisperse polyelectrolyte brush grafted onto a spherical nanocolloid in the presence of trivalent counterions using molecular dynamics simulations. Via varying polydispersity, grafting density, and solvent selectivity, the effects of electrostatic correlation and excluded volume are focused, and rich phase behaviors of binary mixed polyelectrolyte brush are predicted, including a variety of pinned-patch morphologies at low grafting density and micelle-like structures at high grafting density. To pinpoint the mechanism of surface structure formation, the shape factor of two species of polyelectrolyte chains and the pair correlation function between monomers from different polyelectrolyte ligands are analyzed carefully. Also, electrostatic correlations, manifested as the bridging through trivalent counterions, are examined by identifying four states of trivalent counterions. Our simulation results may be useful for designing smart stimuli-responsive materials based on mixed polyelectrolyte coated surfaces.
Qing-Hai Hao(郝清海) and Jie Cheng(成洁) Morphologies of a spherical bimodal polyelectrolyte brush induced by polydispersity and solvent selectivity 2021 Chin. Phys. B 30 068201
[1] Greino-Iankovski A and Loh W 2020 Colloid Surf. A586 124208 [2] Bixler G D and Bhushan B 2012 Phil. Trans. R. Soc. A370 2381 [3] Kreer T 2016 Soft Matter12 3479 [4] Motornov M, Tam T K, Pita M, Tokarev I, Katz E and Minko S 2009 Nanotechnology20 434006 [5] Zhao B and Zhu L 2009 Macromolecules42 9369 [6] Chen C Y, Tang P and Qiu F 2014 J. Polym. Sci.52 1583 [7] Tan H G, Xia G, Liu L X and Miao B 2019 Phys. Chem. Chem. Phys.21 20031 [8] Tan H G, Xia G, Liu L X, Niu X H and Hao Q H 2019 Chin. J. Polym. Sci.38 394 [9] Marko J F and Witten T A 1991 Phys. Rev. Lett.66 1541 [10] Wang Y Q, Yang G, Tang P, Qiu F, Yang Y L and Zhu L 2011 J. Chem. Phys.134 134903 [11] Ma X, Yang Y Z, Zhu L, Zhao B, Tang P and Qiu F 2013 J. Chem. Phys.139 214902 [12] Egorov S A 2012 Soft Matter8 3971 [13] Hur S, Frischknecht A L, Huber D L and Fredrickson G H 2011 Soft Matter7 8776 [14] Qi S H, Klushin L I, Skvortsov A M and Schmid F 2016 Macromolecules49 9665 [15] Jackson A M, Myerson J W and Stellacci F 2004 Nat. Mater.3 330 [16] Bao C, Tang S, Wright R A E, Tang P, Qiu F, Zhu L and Zhao B 2014 Macromolecules47 6824 [17] Rossner C, Tang Q, Müller M and Kothleitner G 2018 Soft Matter14 4551 [18] Wei W, Kim T Y, Balamurugan A, Sun J, Chen R, Ghosh A, Rodolakis F, McChesney J L, Lakkham A, Evans P G, Hur S M and Gopalan P 2019 ACS Macro Lett.8 1086 [19] Wang Z and Li B H 2016 Chin. Phys. B25 016402 [20] Dong J and Zhou J 2013 Macromol. Theory Simulat.22 174 [21] Gao H M, Liu H, Zhang R and Lu Z Y 2019 J. Phys. Chem. B123 10311 [22] Zhang F, Ding H D, Duan C, Zhao S L and Tong C H 2017 Chin. Phys. B26 088204 [23] Okrugin B M, Richter R P, Leermakers F A M, Neelov I M, Borisov O V and Zhulina E B 2018 Soft Matter14 6230 [24] Vu B, Chen M, Crawford R J and Ivanova E P 2009 Molecules14 2535 [25] Kiani C, Cheng L, Wu Y J, Yee A J and Yang B B 2002 Cell Res.12 19 [26] Button B, Cai L H, Ehre C, Kesimer M, Hill D B, Sheehan J K, Boucher R C and Rubinstein M 2012 Science337 937 [27] Kremer K and Grest G S 1990 J. Chem. Phys.92 5057 [28] Gartner T E and Jayaraman A 2019 Macromolecules52 755 [29] Plimpton S J 1995 J. Comput. Phys.117 1 [30] Thompson P A, Grest G S and Robbins M O 1992 Phys. Rev. Lett.68 3448 [31] Murat M and Grest G S 1996 Macromolecules29 1278 [32] Guptha V S and Hsiao P Y 2014 Polymer55 2900 [33] Jusufi A 2006 J. Chem. Phys.124 044908 [34] Yeh I C and Berkowitz M L 1999 J. Chem. Phys.111 3155 [35] Carrillo J M Y and Dobrynin A V 2011 Macromolecules44 5798 [36] Jackson N E, Brettmann B K, Vishwanath V, Tirrell M and d Pablo J J 2017 ACS Macro Lett.6 155 [37] Wolterink J K, Leermakers F A M, Fleer G J, Koopal L K, Zhulina E B and Borisov O V 1999 Macromolecules32 2365 [38] Csajka F S and Seidel C 2000 Macromolecules33 2728 [39] Lane J M D and Grest G S 2010 Phys. Rev. Lett.104 235501 [40] Liu L, Pincus P A and Hyeon C 2017 Macromolecules50 1579 [41] Yu J, Jackson N E, Xu X, Brettmann B K, Ruths M, de Pablo J J and Tirrell M 2017 Sci. Adv.3 1497 [42] Hao Q H, Liu L X, Xia G, Liu L Y and Miao B 2020 Colloid Polym. Sci.298 21 [43] Hao Q H, Cheng J, Liu L X, Tan H G, Wei T, Liu L Y and Miao B 2020 Macromolecules53 7187 [44] Chen L, Merlitz H, He S, Wu C X and Sommer J U 2011 Macromolecules44 3109 [45] Brettmann B, Pincus P and Tirrell M 2017 Macromolecules50 1225 [46] Manning G S 1969 J. Chem. Phys.51 924 [47] Miao B and Vilgis T A 2012 Macromol. Theory Simul.21 582 [48] Dong J Q and Zhou J 2013 Macromol. Theory Simul.22 174
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