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Ice Inhibition for Cryopreservation: Materials, Strategies, and Challenges
Open accessAbstract
Cryopreservation technology has developed into a fundamental and important supporting method for biomedical applications such as cell‐based therapeutics, tissue engineering, assisted reproduction, and vaccine storage. The formation, growth, and recrystallization of ice crystals are the major limitations in cell/tissue/organ cryopreservation, and cause fatal cryoinjury to cryopreserved biological samples. Flourishing anti‐icing materials and strategies can effectively regulate and suppress ice crystals, thus reducing ice damage and promoting cryopreservation efficiency. This review first describes the basic ice cryodamage mechanisms in the cryopreservation process. The recent development of chemical ice‐inhibition molecules, including cryoprotectant, antifreeze protein, synthetic polymer, nanomaterial, and hydrogel, and their applications in cryopreservation are summarized. The advanced engineering strategies, including trehalose delivery, cell encapsulation, and bioinspired structure design for ice inhibition, are further discussed. Furthermore, external physical field technologies used for inhibiting ice crystals in both the cooling and thawing processes are systematically reviewed. Finally, the current challenges and future perspectives in the field of ice inhibition for high‐efficiency cryopreservation are proposed.
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Cited by
Zhang, M., Hao, L., Wang, Z., Yang, H., Zhou, R., Jiang, G., & Wu, C. (2026) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2026.154838
Metadata
- Authors
- Chang, T., & Zhao, G.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2021-02
- Volume
- 8
- Issue
- 6
- Pages
- 2002425-2002425
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W3127488895
- Cited by
- 419
- References
- 150
- FWCI
- 19.61
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.