journal article·2022-05-09

Enhanced Control over Ice Nucleation Stochasticity Using a Carbohydrate Polymer Cryoprotectant

Bruno M. Guerreiro, Anthony N. Consiglio, Boris Rubinsky, Matthew J. Powell-Palm, Filomena Freitas

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Abstract

Metastable supercooling has emerged as a transformative technique for ice-free biopreservation, but issues of stability inherent to the stochastic nature of ice formation have thus far limited its translation out of the laboratory. In this work, we explore the influence of the bio-based carbohydrate polymer FucoPol on aqueous supercooling using an isochoric nucleation detection technique. We show that FucoPol, a high-molecular-weight, fucose-rich polysaccharide, which has previously been shown to reduce average ice crystal sizes after nucleation, also induces a concentration-dependent stabilization of metastable supercooled water, as evidenced by both a significant reduction in nucleation stochasticity (i.e., the spread in temperatures over which the system will nucleate upon cooling) and a corresponding increase in the predicted induction time of nucleation. FucoPol is found to confine the stochasticity of ice nucleation to a narrow, well-defined band of temperatures roughly one-third as wide as that of pure water under identical conditions. Importantly, this substantial reduction in stochasticity is accompanied by only a minimal (<1 °C) change in the average nucleation temperature, suggesting that this effect is distinct from colligative freezing point depression. Reducing and characterizing the stochasticity of aqueous supercooling is essential to the engineering design of practical biopreservation protocols, and the results reported herein suggest that high-viscosity polymer systems may provide a powerful and largely unexplored lever by which to manipulate metastable-equilibrium phase change kinetics at subzero temperatures.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: nanoparticles nucleation surface interactions · Physiological and biochemical adaptations · Calcium Carbonate Crystallization and Inhibition

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

Affiliations

UCIBIO − Applied Molecular Biosciences Unit, Department of Chemistry, School of Science and Technology, NOVA University Lisbon, Caparica 2819-516, Portugal

Associate Laboratory i4HB - Institute for Health and Bioeconomy, School of Science and Technology, NOVA University Lisbon, Caparica 2819-516, Portugal

LAQV-REQUIMTE, Department of Chemistry, School of Science and Technology, NOVA University Lisbon, Caparica 2829-516, Portugal

CENIMAT/I3N, Department of Physics, School of Science and Technology, NOVA University Lisbon, Caparica 2829-516, Portugal

Department of Mechanical Engineering, University of California at Berkeley, Berkeley 94720, California, United States

Funding

Funda??o Luso-Americana para o Desenvolvimento · Fulbright Portugal · Company of Biologists · Funda??o para a Ci?ncia e a Tecnologia · National Science Foundation

References (31)

Show source-provided references
1. 10.1256/qj.04.9410.1256/qj.04.94 ↗
2. 10.1007/s10068-020-00750-610.1007/s10068-020-00750-6 ↗
3. 10.1038/s41467-018-05636-010.1038/s41467-018-05636-0 ↗
4. 10.1016/S1672-6529(13)60208-510.1016/S1672-6529(13)60208-5 ↗
5. 10.1038/s42003-021-02650-910.1038/s42003-021-02650-9 ↗
6. 10.1038/nm.358810.1038/nm.3588 ↗
7. 10.1038/s41587-019-0223-y10.1038/s41587-019-0223-y ↗
8. 10.1016/j.cryobiol.2004.12.00210.1016/j.cryobiol.2004.12.002 ↗
9. Wan L. · CryoLetters · 2019 · 40 · 64
10. 10.1038/s42005-020-0303-910.1038/s42005-020-0303-9 ↗
11. 10.1103/PhysRevResearch.2.02335010.1103/PhysRevResearch.2.023350 ↗
12. 10.1063/1.514533410.1063/1.5145334 ↗
13. 10.1016/j.cryobiol.2022.03.00310.1016/j.cryobiol.2022.03.003 ↗
14. 10.1021/jp065379b10.1021/jp065379b ↗
15. 10.1016/j.cryobiol.2007.10.17910.1016/j.cryobiol.2007.10.179 ↗
16. 10.1016/j.carbpol.2010.03.04810.1016/j.carbpol.2010.03.048 ↗
17. 10.1007/s12010-013-0560-010.1007/s12010-013-0560-0 ↗
18. 10.1016/j.carbpol.2020.11650010.1016/j.carbpol.2020.116500 ↗
19. 10.1021/acsabm.1c0000710.1021/acsabm.1c00007 ↗
20. 10.1016/j.ijbiomac.2015.05.02910.1016/j.ijbiomac.2015.05.029 ↗
21. 10.1016/j.carbpol.2010.07.03410.1016/j.carbpol.2010.07.034 ↗
22. 10.1074/jbc.M50062220010.1074/jbc.M500622200 ↗
23. 10.1016/j.cell.2019.04.01710.1016/j.cell.2019.04.017 ↗
24. 10.1016/j.apenergy.2021.11663510.1016/j.apenergy.2021.116635 ↗
25. 10.1002/advs.20200242510.1002/advs.202002425 ↗
26. 10.1146/annurev.physiol.63.1.35910.1146/annurev.physiol.63.1.359 ↗
27. 10.1016/j.jbiotec.2011.06.02410.1016/j.jbiotec.2011.06.024 ↗
28. 10.1016/j.ijbiomac.2014.04.02210.1016/j.ijbiomac.2014.04.022 ↗
29. 10.1371/journal.pone.017869110.1371/journal.pone.0178691 ↗
30. Gaber S. M. · Annu. Trans. Nord. Rheol. Soc. · 2019 · 27 · 127
31. 10.1021/jp308177b10.1021/jp308177b ↗