journal article·2019-10-22Open access

Aqueous Nanoclusters Govern Ion Partitioning in Dense Polymer Membranes

Matej Kanduč, Won Kyu Kim, Rafael Roa, Joachim Dzubiella

ACS Nano· Volume 13· Issue 10

Abstract

The uptake and sorption of charged molecules by responsive polymer membranes and hydrogels in aqueous solutions is of key importance for the development of soft functional materials. Here, we investigate the partitioning of simple monatomic (Na+, K+, Cs+, Cl-, I-) and one molecular ion (4-nitrophenolate; NP-) within a dense, electroneutral poly(N-isopropylacrylamide) membrane using explicit-water molecular dynamics simulations. Inside the predominantly hydrophobic environment, water distributes in a network of polydisperse water nanoclusters. The average cluster size determines the mean electrostatic self-energy of the simple ions, which preferably reside deeply inside them; we therefore find substantially larger partition ratios K ≃10-1 than expected from a simple Born picture using a uniform dielectric constant. Despite their irregular shapes, we observe that the water clusters possess a universal negative electrostatic potential with respect to their surroundings, as is known for aqueous liquid-vapor interfaces. This potential, which we find concealed in cases of symmetric monatomic salts, can dramatically impact the transfer free energies of larger charged molecules because of their weak hydration and increased affinity to interfaces. Consequently, and in stark contrast to the simple ions, the molecular ion NP- can have a partition ratio much larger than unity, K ≃10-30 (depending on the cation type) or even 103 in excess of monovalent salt, which explains recent observations of enhanced reaction kinetics of NP- reduction catalyzed within dense polymer networks. These results also suggest that ionizing a molecule can even enhance the partitioning in a collapsed, rather hydrophobic gel, which strongly challenges the traditional simplistic reasoning.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Fuel Cells and Related Materials · Electrochemical sensors and biosensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia

Korea Institute for Advanced Study, 85 Hoegiro, Seoul 02455, Republic of Korea

Freie Universität Berlin, Fachbereich Physik, Arnimallee 14, 14195 Berlin, Germany

Research Group for Simulations of Energy Materials, Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner-Platz 1, 14109 Berlin, Germany

Departamento de Física Aplicada I, Facultad de Ciencias, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain

Applied Theoretical Physics—Computational Physics, Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Hermann-Herder Strasse 3, 79104 Freiburg, Germany

Funding

Javna Agencija za Raziskovalno Dejavnost RS · Deutsche Forschungsgemeinschaft · H2020 European Research Council

References (88)

Show source-provided references
1. 10.1016/S0376-7388(99)00085-X10.1016/S0376-7388(99)00085-X ↗
2. 10.1016/0376-7388(95)00102-I10.1016/0376-7388(95)00102-I ↗
3. 10.1021/ma070378i10.1021/ma070378i ↗
4. 10.1016/j.memsci.2014.05.06210.1016/j.memsci.2014.05.062 ↗
5. 10.1016/j.jece.2018.09.02710.1016/j.jece.2018.09.027 ↗
6. 10.1038/nmat261410.1038/nmat2614 ↗
7. 10.1039/c0sm01541e10.1039/c0sm01541e ↗
8. 10.1038/natrevmats.2016.7110.1038/natrevmats.2016.71 ↗
9. 10.1016/j.cplett.2018.08.04710.1016/j.cplett.2018.08.047 ↗
10. 10.1039/C5CP06747B10.1039/C5CP06747B ↗
11. 10.1016/j.memsci.2006.05.04810.1016/j.memsci.2006.05.048 ↗
12. 10.1016/j.desal.2018.05.00210.1016/j.desal.2018.05.002 ↗
13. 10.1002/marc.20100005810.1002/marc.201000058 ↗
14. 10.1016/j.desal.2016.03.02110.1016/j.desal.2016.03.021 ↗
15. 10.1002/macp.20170023710.1002/macp.201700237 ↗
16. 10.1039/c0cc04701e10.1039/c0cc04701e ↗
17. 10.1021/acsami.5b0387810.1021/acsami.5b03878 ↗
18. 10.1016/S0001-8686(99)00023-810.1016/S0001-8686(99)00023-8 ↗
19. 10.1016/j.progpolymsci.2004.08.00310.1016/j.progpolymsci.2004.08.003 ↗
20. 10.1002/anie.20150666310.1002/anie.201506663 ↗
21. 10.1038/srep2273610.1038/srep22736 ↗
22. 10.1002/polb.2203710.1002/polb.22037 ↗
23. 10.1016/j.polymer.2011.11.03710.1016/j.polymer.2011.11.037 ↗
24. 10.1002/mame.20100020410.1002/mame.201000204 ↗
25. 10.1039/b822673n10.1039/b822673n ↗
26. 10.1021/cm903261b10.1021/cm903261b ↗
27. 10.1002/anie.20110651510.1002/anie.201106515 ↗
28. 10.1021/acscatal.7b0170110.1021/acscatal.7b01701 ↗
29. McNaught A. D. · 1997
30. 10.1016/j.memsci.2012.01.03910.1016/j.memsci.2012.01.039 ↗
31. 10.1016/S0032-3861(03)00370-710.1016/S0032-3861(03)00370-7 ↗
32. 10.1016/0142-9612(93)90154-T10.1016/0142-9612(93)90154-T ↗
33. 10.1021/acs.jpcb.8b1013410.1021/acs.jpcb.8b10134 ↗
34. 10.1021/acs.macromol.8b0073510.1021/acs.macromol.8b00735 ↗
35. 10.1039/C6CP08366H10.1039/C6CP08366H ↗
36. 10.1002/macp.1968.02118010210.1002/macp.1968.021180102 ↗
37. 10.1002/app.1965.07009041310.1002/app.1965.070090413 ↗
38. 10.1021/la990542y10.1021/la990542y ↗
39. 10.1016/j.polymer.2008.12.01910.1016/j.polymer.2008.12.019 ↗
40. 10.1016/j.memsci.2018.12.05910.1016/j.memsci.2018.12.059 ↗
41. 10.1016/j.memsci.2010.04.03510.1016/j.memsci.2010.04.035 ↗
42. 10.1016/j.progpolymsci.2013.07.00110.1016/j.progpolymsci.2013.07.001 ↗
43. 10.1021/ma00094a01110.1021/ma00094a011 ↗
44. 10.1063/1.47729310.1063/1.477293 ↗
45. 10.1016/S0032-3861(03)00166-610.1016/S0032-3861(03)00166-6 ↗
46. 10.1021/ma049848o10.1021/ma049848o ↗
47. 10.1021/ma702173j10.1021/ma702173j ↗
48. 10.1021/ja00316a01210.1021/ja00316a012 ↗
49. 10.1021/ja980140x10.1021/ja980140x ↗
50. 10.1021/ct600252r10.1021/ct600252r ↗
51. 10.1021/j100384a00910.1021/j100384a009 ↗
52. 10.1063/1.46305410.1063/1.463054 ↗
53. 10.1063/1.164453610.1063/1.1644536 ↗
54. Hünenberger P. · 2011
55. 10.1021/jp401817h10.1021/jp401817h ↗
56. 10.1039/C8CP07601D10.1039/C8CP07601D ↗
57. 10.1007/BF0188102310.1007/BF01881023 ↗
58. 10.1021/ja00004a07910.1021/ja00004a079 ↗
59. 10.1039/b711300e10.1039/b711300e ↗
60. 10.1063/1.300976210.1063/1.3009762 ↗
61. 10.1021/acs.jpclett.8b0247310.1021/acs.jpclett.8b02473 ↗
62. 10.1021/ja00172a03810.1021/ja00172a038 ↗
63. 10.1002/jcc.1012610.1002/jcc.10126 ↗
64. 10.1063/1.146789310.1063/1.1467893 ↗
65. 10.1021/jp011853w10.1021/jp011853w ↗
66. 10.1021/jp034561z10.1021/jp034561z ↗
67. 10.1021/jp045081q10.1021/jp045081q ↗
68. 10.1063/1.277155010.1063/1.2771550 ↗
69. 10.1016/j.cplett.2013.01.00810.1016/j.cplett.2013.01.008 ↗
70. 10.1073/pnas.101790310810.1073/pnas.1017903108 ↗
71. 10.1021/ja202081x10.1021/ja202081x ↗
72. 10.1063/1.498352510.1063/1.4983525 ↗
73. 10.1016/0168-3659(92)90205-610.1016/0168-3659(92)90205-6 ↗
74. Serjeant E. · 1979 · 989
75. Palivec, V.; Zadrazil, D.; Heyda, J. All-Atom REMD Simulation of Poly-N-Isopropylacrylamide Thermodynamics in Water: a Model with a Distinct 2-State Behavior. 2018, arXiv:1806.05592 [physics.chem-ph]. arXiv.org e-Print archive. https://arxiv.org/abs/1806.05592.
76. 10.1021/j100308a03810.1021/j100308a038 ↗
77. 10.1002/jcc.2029110.1002/jcc.20291 ↗
78. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
79. 10.1063/1.46439710.1063/1.464397 ↗
80. 10.1063/1.47011710.1063/1.470117 ↗
81. 10.1063/1.240842010.1063/1.2408420 ↗
82. 10.1063/1.44811810.1063/1.448118 ↗
83. 10.1063/1.44802410.1063/1.448024 ↗
84. 10.1016/0009-2614(94)00397-110.1016/0009-2614(94)00397-1 ↗
85. 10.1063/1.47521910.1063/1.475219 ↗
86. 10.1021/jp951011v10.1021/jp951011v ↗
87. 10.1021/acs.macromol.7b0120610.1021/acs.macromol.7b01206 ↗
88. 10.1063/1.303094810.1063/1.3030948 ↗