journal article·2026-04-29

Unravelling Ice Growth Inhibition by UiO-66 and Its Functionalized Nanoparticles: The Role of Uncoordinated Linkers in Enhancing Interfacial Interactions with Ice

S. Muthu Krishnan, Mona Vishwakarma, Amol Tagad, Jayant K. Singh

ACS Applied Materials & Interfaces· Volume 18· Issue 16
Publisher page

Abstract

In organ transplantation, cryogenic storage of live cells is essential, but ice recrystallization during thawing causes cell damage, necessitating effective control strategies. Ice recrystallization inhibition (IRI) agents suppress ice growth through the Gibbs–Thomson effect by binding to the ice surface. Metal–organic framework (MOF) nanoparticles, with high surface area and tunable chemistry, show strong promise as effective IRI agents; however, their inhibition mechanisms and the role of surface modifications remain insufficiently understood. In this work, we performed the first computational investigation of using UiO-66 and its functionalized derivative MOF nanoparticles with surface-modified uncoordinated linkers as IRI agents through MD simulations. We observed that the MOF nanoparticles were highly effective in inhibiting ice growth through the Gibbs–Thomson effect, with the UiO-66 nanoparticle reducing the growth rate by up to 24% compared to the benchmark ice–water system. Further, we observed that the UiO-66 nanoparticle produced the highest thermal hysteresis close to 12 K. Additionally, we showed that the adsorbed surface area of the nanoparticle plays a major role in inhibiting ice growth compared to the number of hydrogen bonds formed, deviating from previous conclusions in the literature. Through PMF calculations, we also observed that the presence of uncoordinated linkers on the MOF nanoparticle improved the binding strength of the nanoparticle to the ice surface, with UiO-66 showing a potential of mean force (PMF) of 2.9 kcal mol –1 per linker. To the best of our knowledge, this work represents the first computational investigation of ice recrystallization inhibition in MOF nanoparticles with uncoordinated linker modifications, and it establishes surface functionalization as an effective strategy for enhancing their IRI activity.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Physiological and biochemical adaptations · Erythrocyte Function and Pathophysiology · Phase Change Materials Research

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

Affiliations

Department of Chemical Engineering

Indian Institute of Technology Kanpur

Prescience Insilico Private Limited, Surya Office Space, 72/12, Nallurahalli Main Rd, Whitefield, Bengaluru 560066, Karnataka, India

Funding

Science and Engineering Research Board · Ministry of Environment, Forest and Climate Change · Indian National Academy of Engineering

References (60)

Show source-provided references
1. 10.1021/jacs.9b0099210.1021/jacs.9b00992 ↗
2. 10.1021/jacsau.2c0056210.1021/jacsau.2c00562 ↗
3. 10.1093/glycob/cwr11510.1093/glycob/cwr115 ↗
4. 10.1002/ange.20160923010.1002/ange.201609230 ↗
5. 10.1021/acs.langmuir.1c0162010.1021/acs.langmuir.1c01620 ↗
6. 10.1021/acs.biomac.5c0032410.1021/acs.biomac.5c00324 ↗
7. 10.1039/c3ra43835j10.1039/c3ra43835j ↗
8. 10.1021/acs.langmuir.2c0214910.1021/acs.langmuir.2c02149 ↗
9. 10.1021/jacs.9b1294310.1021/jacs.9b12943 ↗
10. 10.1038/s41467-021-21717-z10.1038/s41467-021-21717-z ↗
11. 10.1021/acs.jpclett.1c0408010.1021/acs.jpclett.1c04080 ↗
12. 10.1021/acs.jpclett.3c0084510.1021/acs.jpclett.3c00845 ↗
13. 10.1021/acs.langmuir.7b0324310.1021/acs.langmuir.7b03243 ↗
14. 10.1039/D5TA03931B10.1039/D5TA03931B ↗
15. 10.1039/D4TA03001J10.1039/D4TA03001J ↗
16. 10.1039/D3CS00312D10.1039/D3CS00312D ↗
17. 10.1039/c4cs90059f10.1039/c4cs90059f ↗
18. 10.1021/acs.chemmater.6b0018010.1021/acs.chemmater.6b00180 ↗
19. 10.1039/C7DT01744H10.1039/C7DT01744H ↗
20. 10.1002/adfm.20200629110.1002/adfm.202006291 ↗
21. 10.1021/acsabm.5c0051710.1021/acsabm.5c00517 ↗
22. 10.1021/ja805795310.1021/ja8057953 ↗
23. 10.1021/acs.jpcc.0c0158010.1021/acs.jpcc.0c01580 ↗
24. 10.1002/wcms.115910.1002/wcms.1159 ↗
25. 10.1016/j.cpc.2004.12.01410.1016/j.cpc.2004.12.014 ↗
26. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
27. 10.1063/1.277070810.1063/1.2770708 ↗
28. 10.1103/physrevb.54.170310.1103/physrevb.54.1703 ↗
29. 10.1021/ja805795310.1021/ja8057953 ↗
30. 10.1002/asia.20110020110.1002/asia.201100201 ↗
31. 10.1021/cm102288210.1021/cm1022882 ↗
32. 10.1021/cg501386j10.1021/cg501386j ↗
33. 10.1021/cm102288210.1021/cm1022882 ↗
34. 10.1016/j.micromeso.2011.08.02010.1016/j.micromeso.2011.08.020 ↗
35. 10.1021/acs.chemmater.0c0357510.1021/acs.chemmater.0c03575 ↗
36. 10.1021/acsami.3c1750310.1021/acsami.3c17503 ↗
37. 10.1021/acs.chemmater.0c0357510.1021/acs.chemmater.0c03575 ↗
38. 10.1021/cm401978e10.1021/cm401978e ↗
39. 10.1039/c1cp23434j10.1039/c1cp23434j ↗
40. 10.1021/acsami.5b1015010.1021/acsami.5b10150 ↗
41. 10.1002/jcc.2507710.1002/jcc.25077 ↗
42. 10.1063/1.193166210.1063/1.1931662 ↗
43. 10.1002/jcc.2304910.1002/jcc.23049 ↗
44. 10.1016/j.compbiomed.2022.10538610.1016/j.compbiomed.2022.105386 ↗
45. 10.1021/jz300848510.1021/jz3008485 ↗
46. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗
47. 10.1016/j.foodhyd.2025.11166210.1016/j.foodhyd.2025.111662 ↗
48. 10.1063/1.510327310.1063/1.5103273 ↗
49. 10.1021/jp510289t10.1021/jp510289t ↗
50. 10.1007/s00371-003-0207-110.1007/s00371-003-0207-1 ↗
51. 10.1063/1.500847810.1063/1.5008478 ↗
52. 10.1021/acs.iecr.1c0255910.1021/acs.iecr.1c02559 ↗
53. 10.1021/acs.jpcb.2c0618310.1021/acs.jpcb.2c06183 ↗
54. 10.1002/jcc.54013081210.1002/jcc.540130812 ↗
55. 10.1016/j.cryobiol.2005.07.00710.1016/j.cryobiol.2005.07.007 ↗
56. 10.1021/acs.jpcc.7b1026510.1021/acs.jpcc.7b10265 ↗
57. 10.1103/PhysRevLett.115.18610110.1103/PhysRevLett.115.186101 ↗
58. 10.1038/s41467-024-52266-w10.1038/s41467-024-52266-w ↗
59. 10.1021/acs.jpclett.8b0121010.1021/acs.jpclett.8b01210 ↗
60. 10.1021/j100165a00710.1021/j100165a007 ↗