Literature DB >> 19948163

Review of biomaterial thermal property measurements in the cryogenic regime and their use for prediction of equilibrium and non-equilibrium freezing applications in cryobiology.

Jeunghwan Choi1, John C Bischof.   

Abstract

It is well accepted in cryobiology that the temperature history and cooling rates experienced in biomaterials during freezing procedures correlate strongly with biological outcome. Therefore, heat transfer measurement and prediction in the cryogenic regime is central to the field. Although direct measurement of temperature history (i.e. heat transfer) can be performed, accuracy is usually achieved only for local measurements within a given system and cannot be readily generalized to another system without the aid of predictive models. The accuracy of these models rely upon thermal properties which are known to be highly dependent on temperature, and in the case of significant cryoprotectant loading, also on crystallized fraction. In this work, we review the available thermal properties of biomaterials in the cryogenic regime. The review shows a lack of properties for many biomaterials in the subzero temperature domain, and especially for systems with cryoprotective agents. Unfortunately, use of values from the limited data available (usually only down to -40 degrees C) lead to an underestimation of thermal property change (i.e. conductivity rise and specific heat drop due to ice crystallization) with lower temperatures. Conversely, use of surrogate values based solely on ice thermal properties lead to an overestimation of thermal property change for most biomaterials. Additionally, recent work extending the range of available thermal properties to -150 degrees C has shown that the thermal conductivity will drop in both PBS and tissue (liver) due to amorphous/glassy phases (versus crystalline) of biomaterials with the addition of cryoprotective additives such as glycerol. Thus, we investigated the implications of using approximated or constant property values versus measured temperature-dependent values for predicting temperature history during freezing in PBS (phosphate-buffered saline) and porcine liver with and without cryoprotectants (glycerol). Using measured property values (thermal conductivity, specific heat, and latent heat of phase change) of porcine liver, a standard was created which showed that values based on surrogate ice properties under-predicted cooling times, while constant properties (i.e. based on limited data reported near the freezing point) over-predicted cooling times. Additionally, a new iterative numerical method that accommodates non-equilibrium cooling effects as a function of time and position (i.e. crystallization versus amorphous phase) was used to predict temperature history during freezing in glycerol loaded systems. Results indicate that in addition to the increase in cooling times due to the lowering of thermal diffusivity with more glycerol, non-equilibrium effects such as the prevention of maximal crystallization (i.e. amorphous phases) will further increase required cooling times. It was also found that the amplified effect of non-equilibrium cooling and crystallization with system size prevents the thermal history to be described with non-dimensional lengths, such as was possible under equilibrium cooling. These results affirm the need to use accurate thermal properties that incorporate temperature dependence and crystallized fraction. Further studies are needed to extract thermal properties of other important biomaterials in the subzero temperature domain and to develop accurate numerical methods which take into account non-equilibrium cooling events encountered in cryobiology when partial or total vitrification occurs. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19948163      PMCID: PMC3017720          DOI: 10.1016/j.cryobiol.2009.11.004

Source DB:  PubMed          Journal:  Cryobiology        ISSN: 0011-2240            Impact factor:   2.487


  37 in total

1.  A model for the time dependent three-dimensional thermal distribution within iceballs surrounding multiple cryoprobes.

Authors:  J C Rewcastle; G A Sandison; K Muldrew; J C Saliken; B J Donnelly
Journal:  Med Phys       Date:  2001-06       Impact factor: 4.071

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Journal:  Phys Rev B Condens Matter       Date:  1987-03-15

4.  Crystallization of ice in aqueous solutions of glycerol and dimethyl sulfoxide 2: ice crystal growth kinetics.

Authors:  J M Hey; D R MacFarlane
Journal:  Cryobiology       Date:  1998-09       Impact factor: 2.487

5.  Specific-heat spectroscopy of glycerol and propylene glycol near the glass transition.

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Journal:  Phys Rev B Condens Matter       Date:  1986-08-01

6.  Prediction of local cooling rates and cell survival during the freezing of a cylindrical specimen.

Authors:  L J Hayes; K R Diller; H J Chang; H S Lee
Journal:  Cryobiology       Date:  1988-02       Impact factor: 2.487

7.  Microvascular contributions in tissue heat transfer.

Authors:  M M Chen; K R Holmes
Journal:  Ann N Y Acad Sci       Date:  1980       Impact factor: 5.691

8.  Pulse-decay method for measuring the thermal conductivity of living tissues.

Authors:  M M Chen; K R Holmes; V Rupinskas
Journal:  J Biomech Eng       Date:  1981-11       Impact factor: 2.097

9.  Ternary systems with 1,2-propanediol-a new gain in the stability of the amorphous state in the system water-1,2-propanediol-1-propanol.

Authors:  P Boutron; D Delage; B Roustit; C Körber
Journal:  Cryobiology       Date:  1982-10       Impact factor: 2.487

10.  Use of X-ray tomography to map crystalline and amorphous phases in frozen biomaterials.

Authors:  J C Bischof; B Mahr; J H Choi; M Behling; D Mewes
Journal:  Ann Biomed Eng       Date:  2006-11-29       Impact factor: 3.934

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  17 in total

1.  GPU-based 3D iceball modeling for fast cryoablation simulation and planning.

Authors:  Ehsan Golkar; Pramod P Rao; Leo Joskowicz; Afshin Gangi; Caroline Essert
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-08-12       Impact factor: 2.924

2.  Characterization of Laser Gold Nanowarming: A Platform for Millimeter-Scale Cryopreservation.

Authors:  Kanav Khosla; Li Zhan; Aditya Bhati; Aiden Carley-Clopton; Mary Hagedorn; John Bischof
Journal:  Langmuir       Date:  2018-10-25       Impact factor: 3.882

3.  Methods for characterizing convective cryoprobe heat transfer in ultrasound gel phantoms.

Authors:  Michael L Etheridge; Jeunghwan Choi; Satish Ramadhyani; John C Bischof
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

4.  Development of three-dimensional integrated microchannel-electrode system to understand the particles' movement with electrokinetics.

Authors:  J Yao; H Obara; A Sapkota; M Takei
Journal:  Biomicrofluidics       Date:  2016-03-15       Impact factor: 2.800

5.  Thermal conductivity of the cryoprotective cocktail DP6 in cryogenic temperatures, in the presence and absence of synthetic ice modulators.

Authors:  Lili E Ehrlich; Jonathan A Malen; Yoed Rabin
Journal:  Cryobiology       Date:  2016-07-26       Impact factor: 2.487

6.  Foundations of modeling in cryobiology-III: Inward solidification of a ternary solution towards a permeable spherical cell in the dilute limit.

Authors:  Daniel M Anderson; James D Benson; Anthony J Kearsley
Journal:  Cryobiology       Date:  2019-10-08       Impact factor: 2.487

7.  On-chip characterization of cryoprotective agent mixtures using an EWOD-based digital microfluidic device.

Authors:  Sinwook Park; Pavithra A L Wijethunga; Hyejin Moon; Bumsoo Han
Journal:  Lab Chip       Date:  2011-05-20       Impact factor: 6.799

8.  Diffusion Limited Cryopreservation of Tissue with Radiofrequency Heated Metal Forms.

Authors:  Zonghu Han; Anirudh Sharma; Zhe Gao; Timothy W Carlson; M Gerard O'Sullivan; Erik B Finger; John C Bischof
Journal:  Adv Healthc Mater       Date:  2020-09-02       Impact factor: 9.933

Review 9.  Foundations of modeling in cryobiology-II: Heat and mass transport in bulk and at cell membrane and ice-liquid interfaces.

Authors:  Daniel M Anderson; James D Benson; Anthony J Kearsley
Journal:  Cryobiology       Date:  2019-10-04       Impact factor: 2.487

10.  Conduction Cooling and Plasmonic Heating Dramatically Increase Droplet Vitrification Volumes for Cell Cryopreservation.

Authors:  Li Zhan; Shuang-Zhuang Guo; Joseph Kangas; Qi Shao; Maple Shiao; Kanav Khosla; Walter C Low; Michael C McAlpine; John Bischof
Journal:  Adv Sci (Weinh)       Date:  2021-04-10       Impact factor: 16.806

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