Methods to stabilize aqueous supercooling identified by use of an isochoric nucleation detection (INDe) device.


Journal

Cryobiology
ISSN: 1090-2392
Titre abrégé: Cryobiology
Pays: Netherlands
ID NLM: 0006252

Informations de publication

Date de publication:
06 2022
Historique:
received: 18 01 2022
revised: 25 02 2022
accepted: 17 03 2022
pubmed: 27 3 2022
medline: 9 6 2022
entrez: 26 3 2022
Statut: ppublish

Résumé

Stable aqueous supercooling has shown significant potential as a technique for human tissue preservation, food cold storage, conservation biology, and beyond, but its stochastic nature has made its translation outside the laboratory difficult. In this work, we present an isochoric nucleation detection (INDe) platform for automated, high-throughput characterization of aqueous supercooling at >1 mL volumes, which enables statistically-powerful determination of the temperatures and time periods for which supercooling in a given aqueous system will remain stable. We employ the INDe to investigate the effects of thermodynamic, surface, and chemical parameters on aqueous supercooling, and demonstrate that various simple system modifications can significantly enhance supercooling stability, including isochoric (constant-volume) confinement, hydrophobic container walls, and the addition of even mild concentrations of solute. Finally, in order to enable informed design of stable supercooled biopreservation protocols, we apply a statistical model to estimate stable supercooling durations as a function of temperature and solution chemistry, producing proof-of-concept supercooling stability maps for four common cryoprotective solutes.

Identifiants

pubmed: 35337797
pii: S0011-2240(22)00035-9
doi: 10.1016/j.cryobiol.2022.03.003
pii:
doi:

Substances chimiques

Isochores 0
Solutions 0
Water 059QF0KO0R

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

91-101

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Anthony N Consiglio (AN)

Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, USA. Electronic address: aconsiglio4@berkeley.edu.

Drew Lilley (D)

Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, USA.

Ravi Prasher (R)

Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, USA.

Boris Rubinsky (B)

Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, USA.

Matthew J Powell-Palm (MJ)

Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, USA. Electronic address: mpowellp@berkeley.edu.

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Classifications MeSH