2021/08/23 by Anthony N. Consiglio, Drew Lilley, Consiglio, Anthony N. +8
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Genetics, Aging, and Longevity in Model Organisms #Materials Science (cond-mat.mtrl-sci) #MicroRNA in disease regulation #Quantum Dots Synthesis And Properties #cond-mat.mtrl-sci
paper · pdf · doi:10.48550/arxiv.2108.10404
Corrected typos. Modified Figure 6 and SI to incorporate more raw data. Results unchanged
openalex publication_date 2021/08/23 · arxiv created 2022/02/23 · arxiv updated 2022/02/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 first-in-field supercooling stability maps for four common cryoprotective solutes.