Hydrophobic Solute Encapsulation by Amphiphilic Mikto-Grafted Bottlebrushes: A Dissipative Particle Dynamics Study
Source abstract
Abstract
Molecular bottlebrushes have attracted attention for applications in molecular medicine as drug delivery vehicles. Their very low critical micelle concentration and the variety of different nanostructures they can form in solution makes them ideal molecular constructs for those applications. To date, however, little is known about the effect of the architectural parameters on the bottlebrush solution self-assembly and its response to the presence of hydrophobic solutes. In this work, we have performed extensive numerical simulations to elucidate the role of side-chain size-asymmetry and bottlebrush molecular weight in the morphology of unimolecular particles in aqueous solutions. In addition, we have investigated the synergistic effects of adding hydrophobic solutes into the polymer solution. Our simulation results show that a continuous cylinder-to-sphere morphological transition takes place as the concentration of hydrophobic solutes increases. Importantly, our simulation results suggest that the total hydrophobic content is the parameter driving the morphological transition, when this quantity reaches a value in the ranges 0.6 and 0.7, then the nanoparticle transforms into a spherical object. Our results agree qualitatively with previous experimental results and provide guidelines for the molecular design of bottlebrushes that target specific morphologies for diverse applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Polymer Surface Interaction Studies · Surfactants and Colloidal Systems · Block Copolymer Self-Assembly
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, Texas 78249, United States
Department of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, Texas 78249, United States
Chemical & Biological Engineering & School of Advanced Materials Discovery, Colorado State University, Fort Collins, Colorado 80523, United States
Funding
Welch Foundation · University of Texas System · National Science Foundation
References (70)
Show source-provided references
1. 10.1021/acs.macromol.6b0235510.1021/acs.macromol.6b02355 ↗
2. 10.1039/c2cs35115c10.1039/c2cs35115c ↗
3. 10.1039/c4md00085d10.1039/c4md00085d ↗
4. 10.1039/c5bm00006h10.1039/c5bm00006h ↗
5. 10.1016/j.jconrel.2017.01.04710.1016/j.jconrel.2017.01.047 ↗
6. 10.1038/s41565-020-0759-510.1038/s41565-020-0759-5 ↗
7. 10.1016/j.biomaterials.2009.09.06010.1016/j.biomaterials.2009.09.060 ↗
8. 10.1073/pnas.130500011010.1073/pnas.1305000110 ↗
9. 10.1016/j.addr.2021.05.01710.1016/j.addr.2021.05.017 ↗
10. 10.1016/j.addr.2021.02.01810.1016/j.addr.2021.02.018 ↗
11. 10.1021/acs.macromol.6b0276710.1021/acs.macromol.6b02767 ↗
12. 10.1021/acs.macromol.8b0246510.1021/acs.macromol.8b02465 ↗
13. 10.1016/j.progpolymsci.2019.10119810.1016/j.progpolymsci.2019.101198 ↗
14. 10.1016/j.polymer.2016.03.07610.1016/j.polymer.2016.03.076 ↗
15. 10.1021/mz300402x10.1021/mz300402x ↗
16. 10.1021/acs.biomac.8b0117110.1021/acs.biomac.8b01171 ↗
17. 10.1039/c5cs90099a10.1039/c5cs90099a ↗
18. 10.1039/d0sm00771d10.1039/d0sm00771d ↗
19. 10.1021/acs.molpharmaceut.7b0027810.1021/acs.molpharmaceut.7b00278 ↗
20. 10.1021/acs.macromol.7b0025410.1021/acs.macromol.7b00254 ↗
21. 10.1016/j.biomaterials.2018.03.03210.1016/j.biomaterials.2018.03.032 ↗
22. 10.1039/c8py01221k10.1039/c8py01221k ↗
23. 10.1016/j.colsurfb.2019.05.04510.1016/j.colsurfb.2019.05.045 ↗
24. 10.1021/acsmacrolett.8b0090710.1021/acsmacrolett.8b00907 ↗
25. 10.1039/c9bm01692a10.1039/c9bm01692a ↗
26. 10.1021/acs.macromol.9b0259510.1021/acs.macromol.9b02595 ↗
27. 10.1021/acsapm.0c0122010.1021/acsapm.0c01220 ↗
28. 10.1021/acs.biomac.1c0119610.1021/acs.biomac.1c01196 ↗
29. 10.1021/acsmacrolett.0c0089010.1021/acsmacrolett.0c00890 ↗
30. 10.1021/acsmacrolett.1c0033510.1021/acsmacrolett.1c00335 ↗
31. 10.1021/acs.macromol.8b0236610.1021/acs.macromol.8b02366 ↗
32. 10.1021/acs.jpcb.1c0181910.1021/acs.jpcb.1c01819 ↗
33. 10.1039/d1sm00728a10.1039/d1sm00728a ↗
34. 10.1039/d0py01466d10.1039/d0py01466d ↗
35. 10.1021/acs.langmuir.0c0243510.1021/acs.langmuir.0c02435 ↗
36. 10.1039/c3cc46834h10.1039/c3cc46834h ↗
37. 10.1021/acs.macromol.8b0030010.1021/acs.macromol.8b00300 ↗
38. 10.1021/acsmacrolett.7b0049010.1021/acsmacrolett.7b00490 ↗
39. 10.1021/acs.jpcb.8b0476710.1021/acs.jpcb.8b04767 ↗
40. 10.1021/acs.molpharmaceut.6b0001910.1021/acs.molpharmaceut.6b00019 ↗
41. 10.1039/d0sm01190h10.1039/d0sm01190h ↗
42. 10.1021/acs.macromol.8b0183610.1021/acs.macromol.8b01836 ↗
43. 10.1016/j.commatsci.2021.11072010.1016/j.commatsci.2021.110720 ↗
44. 10.1063/1.497951410.1063/1.4979514 ↗
45. 10.1063/1.47478410.1063/1.474784 ↗
46. 10.1021/acsnano.7b0777710.1021/acsnano.7b07777 ↗
47. 10.1016/j.polymer.2021.12419810.1016/j.polymer.2021.124198 ↗
48. 10.1039/d0sm01654c10.1039/d0sm01654c ↗
49. 10.1021/acsmacrolett.8b0088710.1021/acsmacrolett.8b00887 ↗
50. 10.3390/polym1313219310.3390/polym13132193 ↗
51. 10.1021/acs.molpharmaceut.0c0017510.1021/acs.molpharmaceut.0c00175 ↗
52. 10.1021/mp500650410.1021/mp5006504 ↗
53. 10.1016/s0006-3495(01)75737-210.1016/s0006-3495(01)75737-2 ↗
54. 10.1080/08927022.2014.91310010.1080/08927022.2014.913100 ↗
55. 10.1021/acs.macromol.6b0121110.1021/acs.macromol.6b01211 ↗
56. 10.1016/j.ijpharm.2017.04.04310.1016/j.ijpharm.2017.04.043 ↗
57. 10.1021/ja027858410.1021/ja0278584 ↗
58. 10.1016/j.molliq.2020.11454210.1016/j.molliq.2020.114542 ↗
59. 10.1021/acs.jpcb.6b0003110.1021/acs.jpcb.6b00031 ↗
60. 10.1021/acs.jctc.0c0060510.1021/acs.jctc.0c00605 ↗
61. 10.1021/acs.jpcb.2c0010110.1021/acs.jpcb.2c00101 ↗
62. 10.1016/j.cpc.2015.02.02810.1016/j.cpc.2015.02.028 ↗
63. 10.1016/j.jcp.2011.05.02110.1016/j.jcp.2011.05.021 ↗
64. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗
65. Gowers, R. J.; Linke, M.; Barnoud, J.; Reddy, T. J. E.; Melo, M. N.; Seyler, S. L.; Domanski, J.; Dotson, D. L.; Buchoux, S.; Kenney, I. M. MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations; Los Alamos National Laboratory (LANL): Los Alamos, NM (United States), 2019; pp 2575–9752.
66. 10.1002/jcc.2178710.1002/jcc.21787 ↗
67. 10.1063/1.478861610.1063/1.4788616 ↗
68. 10.1088/0965-0393/18/1/01501210.1088/0965-0393/18/1/015012 ↗
69. 10.1021/acsami.9b2249510.1021/acsami.9b22495 ↗
70. 10.1021/nn406388t10.1021/nn406388t ↗