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Data for Ice recrystallisation inhibiting polymer nano-objects via saline-tolerant polymerisation-induced self-assembly

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Georgiou, Panagiotis G., Kontopoulou, Ioanna, Congdon, Thomas R. and Gibson, Matthew I. (2020) Data for Ice recrystallisation inhibiting polymer nano-objects via saline-tolerant polymerisation-induced self-assembly. [Dataset]

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WRAP_DATA.zip - Published Version
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Abstract

Chemical tools to modulate ice formation/growth have great (bio)technological value, with ice binding/antifreeze proteins being exciting targets for biomimetic materials. Here we introduce polymer nanomaterials that are potent inhibitors of ice recrystallisation using polymerisation-induced self-assembly (PISA), employing a poly(vinyl alcohol) graft macromolecular chain transfer agent (macro-CTA). Crucially, engineering the core-forming block with diacetone acrylamide enabled PISA to be conducted in saline, whereas poly(2-hydroxypropyl methacrylate) cores led to coagulation. The most active particles inhibited ice growth as low as 0.5 mg mL−1, and were more active than the PVA stabiliser block alone, showing that the dense packing of this nanoparticle format enhanced activity. This provides a unique route towards colloids capable of modulating ice growth.

Item Type: Dataset
Subjects: Q Science > QC Physics
Q Science > QD Chemistry
Q Science > QP Physiology
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science > Chemistry
Type of Data: Experimental data
Library of Congress Subject Headings (LCSH): Biomimetics, Ice crystals -- Growth, Polymerization, Nanocomposites (Materials)
Publisher: Department of Chemistry
Official Date: 28 May 2020
Dates:
DateEvent
28 May 2020Published
Date of first compliant deposit: 28 May 2020
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .txt .gif .jpg .tif .txt .csv NMR
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

Data record consists of a zip data file containing 8 subfolders organised according to experiment and an index file in .txt format.
All background data including example images are included. Files are in .gif, .jpeg, .tif, .txt, .csv and NMR formats.

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
638661[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
191037Royal Societyhttp://dx.doi.org/10.13039/501100000288
BB/M01228X/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
814236[ERC] Horizon 2020 Framework Programmehttp://dx.doi.org/10.13039/100010661
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Contributors:
ContributionNameContributor ID
DepositorGibson, Matthew I.32015

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