Adhesion of a polymer-grafted nanoparticle to cells explored using generalized Langevin dynamics
Source abstract
Abstract
We model a polymer-grafted stealth nanoparticle (SNP) as a composite system consisting of a spherical core coated with a porous polymeric brush with end-ligands. Adjacent to target cells, the near-wall hydrodynamics, thermal fluctuations, and thermodynamic adhesive interactions simultaneously impact the transient motion of the SNP. Employing both the Langevin framework for the effective hard sphere dynamics and the coupled generalized Langevin framework for the nanoparticle-polymer dynamics, we comprehensively investigate the velocity and position temporal relaxations of the SNP in the absence and presence of end-to-end distance fluctuations for the tethered polymer. We demonstrate that polymer structural relaxations substantially impact the SNP adhesive dynamics, especially when the grafted polymer is more flexible. Moreover, a long-time tail with t-3/2 scaling due to polymer chain-length fluctuations is observed in the velocity autocorrelation for a bound SNP. Finally, the thermodynamic effects of membrane morphology on SNP adhesion are explored by modifying the membrane-mediated binding potential of mean force.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Electrostatics and Colloid Interactions · Microfluidic and Bio-sensing Technologies · Nanoparticle-Based Drug Delivery
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical Engineering
National Taiwan University
Taipei 10617
Taiwan
Funding
Ministry of Science and Technology, Taiwan · National Taiwan University
References (69)
Show source-provided references
1. Fernandes · MRS Commun. · 2013 · 3 · 1310.1557/mrc.2013.9 ↗
2. Srivastava · Curr. Opin. Chem. Eng. · 2017 · 16 · 9210.1016/j.coche.2017.04.007 ↗
3. Asai · ACS Nano · 2017 · 11 · 702810.1021/acsnano.7b02657 ↗
4. Zhang · Adv. Mater. · 2018 · 30 · 170579410.1002/adma.201705794 ↗
5. Ling · Small · 2013 · 9 · 145010.1002/smll.201202111 ↗
6. Garcia · Small · 2014 · 10 · 251610.1002/smll.201303540 ↗
7. Moghimi · Prog. Lipid Res. · 2003 · 42 · 46310.1016/S0163-7827(03)00033-X ↗
8. Moghimi · FASEB J. · 2005 · 19 · 31110.1096/fj.04-2747rev ↗
9. Kumari · Colloids Surf., B · 2010 · 75 · 110.1016/j.colsurfb.2009.09.001 ↗
10. Nicolas · Chem. Soc. Rev. · 2013 · 42 · 114710.1039/C2CS35265F ↗
11. Hu · Nanoscale · 2014 · 6 · 6510.1039/C3NR05444F ↗
12. Jenkins · J. Controlled Release · 2016 · 224 · 13610.1016/j.jconrel.2016.01.013 ↗
13. Elsabahy · Chem. Soc. Rev. · 2012 · 41 · 254510.1039/c2cs15327k ↗
14. Gref · Colloids Surf., B · 2000 · 18 · 30110.1016/S0927-7765(99)00156-3 ↗
15. Aggarwal · Adv. Drug Delivery Rev. · 2009 · 61 · 42810.1016/j.addr.2009.03.009 ↗
16. van Vlerken · Pharm. Res. · 2007 · 24 · 140510.1007/s11095-007-9284-6 ↗
17. Li · J. Controlled Release · 2010 · 145 · 17810.1016/j.jconrel.2010.03.016 ↗
18. Zhong · Biomacromolecules · 2014 · 15 · 195510.1021/bm5003009 ↗
19. Calvo · Pharm. Res. · 2001 · 18 · 115710.1023/A:1010931127745 ↗
20. Peracchia · J. Controlled Release · 1999 · 60 · 12110.1016/S0168-3659(99)00063-2 ↗
21. Uma · Phys. Fluids · 2011 · 23 · 07360210.1063/1.3611026 ↗
22. Uma · J. Chem. Phys. · 2011 · 135 · 11410410.1063/1.3635776 ↗
23. Uma · Mol. Phys. · 2012 · 110 · 105710.1080/00268976.2012.663510 ↗
24. Radhakrishnan · J. Comput. Phys. · 2013 · 244 · 25210.1016/j.jcp.2012.10.026 ↗
25. Ermak · J. Chem. Phys. · 1978 · 69 · 135210.1063/1.436761 ↗
26. Brady · Annu. Rev. Fluid Mech. · 1988 · 20 · 11110.1146/annurev.fl.20.010188.000551 ↗
27. Kumar · J. Chem. Phys. · 2001 · 114 · 693710.1063/1.1358860 ↗
28. Sarkar · Soft Matter · 2015 · 11 · 595510.1039/C5SM00669D ↗
29. Kubo · Rep. Prog. Phys. · 1966 · 29 · 25510.1088/0034-4885/29/1/306 ↗
30. Zwanzig · Phys. Rev. A: At., Mol., Opt. Phys. · 1970 · 2 · 200510.1103/PhysRevA.2.2005 ↗
31. Hauge · J. Stat. Phys. · 1973 · 7 · 25910.1007/BF01030307 ↗
32. Bedeaux · Physica · 1974 · 78 · 50510.1016/0031-8914(74)90378-4 ↗
33. Hinch · J. Fluid Mech. · 1975 · 72 · 49910.1017/S0022112075003102 ↗
34. Padding · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2006 · 74 · 03140210.1103/PhysRevE.74.031402 ↗
35. Iwashita · J. Phys. Soc. Jpn. · 2008 · 77 · 07400710.1143/JPSJ.77.074007 ↗
36. Yu · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2015 · 91 · 05230310.1103/PhysRevE.91.052303 ↗
37. Felderhof · J. Phys. Chem. B · 2005 · 109 · 2140610.1021/jp051335b ↗
38. Jeney · Phys. Rev. Lett. · 2008 · 100 · 24060410.1103/PhysRevLett.100.240604 ↗
39. Franosch · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2009 · 79 · 03140210.1103/PhysRevE.79.031402 ↗
40. G. L. Leal , Advanced Transport Phenomena , Cambridge University Press , New York , 200710.1017/CBO9780511800245 ↗
41. Yang · Science · 2003 · 302 · 26210.1126/science.1086911 ↗
42. Kou · Phys. Rev. Lett. · 2004 · 93 · 18060310.1103/PhysRevLett.93.180603 ↗
43. Min · Phys. Rev. Lett. · 2005 · 94 · 19830210.1103/PhysRevLett.94.198302 ↗
44. Debnath · J. Chem. Phys. · 2005 · 123 · 20490310.1063/1.2109809 ↗
45. Tang · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2006 · 73 · 02210210.1103/PhysRevE.73.022102 ↗
46. Li · J. Chem. Phys. · 2014 · 140 · 15410910.1063/1.4870824 ↗
47. Thompson · Nature · 1997 · 389 · 36010.1038/38686 ↗
48. Zhu · Phys. Rev. Lett. · 2002 · 88 · 10610210.1103/PhysRevLett.88.106102 ↗
49. Masliyah · Chem. Eng. Sci. · 1987 · 42 · 24510.1016/0009-2509(87)85054-6 ↗
50. Cichocki · J. Chem. Phys. · 2009 · 130 · 16471210.1063/1.3125382 ↗
51. Cichocki · Colloids Surf., A · 2013 · 418 · 2210.1016/j.colsurfa.2012.10.053 ↗
52. Liu · Proc. Natl. Acad. Sci. U. S. A. · 2010 · 107 · 1653010.1073/pnas.1006611107 ↗
53. Zern · ACS Nano · 2013 · 7 · 246110.1021/nn305773f ↗
54. Ramakrishnan · R. Soc. Open Sci. · 2016 · 3 · 16026010.1098/rsos.160260 ↗
55. Cichocki · J. Chem. Phys. · 2014 · 140 · 16490210.1063/1.4871498 ↗
56. Anderson · Langmuir · 1991 · 7 · 16210.1021/la00049a029 ↗
57. Zwanzig · J. Fluid Mech. · 1975 · 69 · 2110.1017/S0022112075001280 ↗
58. Vitoshkin · Phys. Rev. Fluids · 2016 · 1 · 05410410.1103/PhysRevFluids.1.054104 ↗
59. Felderhof · J. Chem. Phys. · 2014 · 140 · 13490110.1063/1.4869593 ↗
60. Jensenius · Phys. Rev. Lett. · 1997 · 79 · 503010.1103/PhysRevLett.79.5030 ↗
61. Schweizer · J. Chem. Phys. · 1989 · 91 · 580210.1063/1.457533 ↗
62. Perry · Nano Lett. · 2012 · 12 · 530410.1021/nl302638g ↗
63. Oesterhelt · New J. Phys. · 1999 · 1 · 610.1088/1367-2630/1/1/006 ↗
64. Happel · AIChE J. · 1959 · 5 · 17410.1002/aic.690050211 ↗
65. Radhakrishnan · J. Heat Transfer · 2017 · 139 · 03300110.1115/1.4035006 ↗
66. Box · Ann. Math. Stat. · 1958 · 29 · 61010.1214/aoms/1177706645 ↗
67. Sliusarenko · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2010 · 81 · 04111910.1103/PhysRevE.81.041119 ↗
68. D. Frenkel and B.Smit , Understanding molecular simulation: from algorithms to applications , Elsevier , 2001 , vol. 1
69. Roux · EPL · 1992 · 17 · 57510.1209/0295-5075/17/7/001 ↗