Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling

Autores
Caruso, María Agustina; Libkind, Diego; Zaritzky, Noemí Elisabet; Santos, María Victoria
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Efficient cryopreservation is essential for maintaining the viability of Saccharomyces eubayanus, a cryotolerant wild yeast of industrial importance as the cold-adapted parent of Saccharomyces pastorianus. This study integrated post-thaw viability and vitality assessments of cryopreserved S. eubayanus CRUB 1568áµ with experimental measurements of transient heat transfer and numerical simulation of the freezing stage. Two protocols were evaluated: (A) direct freezing of cryovials in cryoboxes at - 80 °C, governed by convection, and (B) freezing inside a CoolCell® device (Corning Inc., Corning, NY, USA), where heat transfer occurs by conduction through the insulated plastic material. A mathematical model was developed to numerically solve the transient heat transfer equation with phase change using the finite element method. Experimental temperature-time data validated the simulations, allowing estimation of overall heat transfer coefficients (UA = 18.04 W m-2 K-1; UB = 4.76 W m-2 K-1) and characteristic freezing times (tí µíº = 10.9 min; 27.6 min, respectively). Calculated Biot numbers confirmed uniform temperature distribution within cryovials. PROTOCOL A achieved optimal cooling rates (5-7 °C min-1) and yielded higher post-thaw viability (71.7 ± 3.5%) compared with PROTOCOL B (51.2 ± 3.6%) after 1 year at - 80 °C. The integration of modeling and experimental data demonstrates that the overall heat transfer coefficient is a key engineering parameter influencing cryopreservation performance. Direct freezing of cryovials in cryoboxes represents a simpler, faster, and lower-cost approach that ensures uniform cooling and higher cell survival, providing a valuable basis for standardizing yeast cryogenic storage in industrial and biotechnological applications. KEY POINTS: Finite element modeling assessed heat transfer during yeast cryopreservation. Direct freezing in cryoboxes achieved higher viability than CoolCell®. Overall heat transfer coefficient (U) is key for cryogenic performance analysis.
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Materia
Biología
Yeast cryopreservation
Overall heat transfer coefficients
Protocol performance
Finite element method
Heat transfer analysis
Freezing process
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/193611

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network_name_str SEDICI (UNLP)
spelling Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modelingCaruso, María AgustinaLibkind, DiegoZaritzky, Noemí ElisabetSantos, María VictoriaBiologíaYeast cryopreservationOverall heat transfer coefficientsProtocol performanceFinite element methodHeat transfer analysisFreezing processEfficient cryopreservation is essential for maintaining the viability of Saccharomyces eubayanus, a cryotolerant wild yeast of industrial importance as the cold-adapted parent of Saccharomyces pastorianus. This study integrated post-thaw viability and vitality assessments of cryopreserved S. eubayanus CRUB 1568áµ with experimental measurements of transient heat transfer and numerical simulation of the freezing stage. Two protocols were evaluated: (A) direct freezing of cryovials in cryoboxes at - 80 °C, governed by convection, and (B) freezing inside a CoolCell® device (Corning Inc., Corning, NY, USA), where heat transfer occurs by conduction through the insulated plastic material. A mathematical model was developed to numerically solve the transient heat transfer equation with phase change using the finite element method. Experimental temperature-time data validated the simulations, allowing estimation of overall heat transfer coefficients (UA = 18.04 W m<sup>-2</sup> K<sup>-1</sup>; UB = 4.76 W m<sup>-2</sup> K<sup>-1</sup>) and characteristic freezing times (tí µíº = 10.9 min; 27.6 min, respectively). Calculated Biot numbers confirmed uniform temperature distribution within cryovials. PROTOCOL A achieved optimal cooling rates (5-7 °C min<sup>-1</sup>) and yielded higher post-thaw viability (71.7 ± 3.5%) compared with PROTOCOL B (51.2 ± 3.6%) after 1 year at - 80 °C. The integration of modeling and experimental data demonstrates that the overall heat transfer coefficient is a key engineering parameter influencing cryopreservation performance. Direct freezing of cryovials in cryoboxes represents a simpler, faster, and lower-cost approach that ensures uniform cooling and higher cell survival, providing a valuable basis for standardizing yeast cryogenic storage in industrial and biotechnological applications. KEY POINTS: Finite element modeling assessed heat transfer during yeast cryopreservation. Direct freezing in cryoboxes achieved higher viability than CoolCell®. Overall heat transfer coefficient (U) is key for cryogenic performance analysis.Centro de Investigación y Desarrollo en Criotecnología de Alimentos2026-03-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://doi.org/10.1007/s00253-026-13779-0http://sedici.unlp.edu.ar/handle/10915/193611enginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00253-026-13779-0#author-informationinfo:eu-repo/semantics/altIdentifier/issn/1432-0614info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-05-13T12:59:56Zoai:sedici.unlp.edu.ar:10915/193611Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-05-13 12:59:57.042SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
title Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
spellingShingle Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
Caruso, María Agustina
Biología
Yeast cryopreservation
Overall heat transfer coefficients
Protocol performance
Finite element method
Heat transfer analysis
Freezing process
title_short Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
title_full Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
title_fullStr Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
title_full_unstemmed Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
title_sort Optimizing cryopreservation protocols of Saccharomyces eubayanus using heat transfer modeling
dc.creator.none.fl_str_mv Caruso, María Agustina
Libkind, Diego
Zaritzky, Noemí Elisabet
Santos, María Victoria
author Caruso, María Agustina
author_facet Caruso, María Agustina
Libkind, Diego
Zaritzky, Noemí Elisabet
Santos, María Victoria
author_role author
author2 Libkind, Diego
Zaritzky, Noemí Elisabet
Santos, María Victoria
author2_role author
author
author
dc.subject.none.fl_str_mv Biología
Yeast cryopreservation
Overall heat transfer coefficients
Protocol performance
Finite element method
Heat transfer analysis
Freezing process
topic Biología
Yeast cryopreservation
Overall heat transfer coefficients
Protocol performance
Finite element method
Heat transfer analysis
Freezing process
dc.description.none.fl_txt_mv Efficient cryopreservation is essential for maintaining the viability of Saccharomyces eubayanus, a cryotolerant wild yeast of industrial importance as the cold-adapted parent of Saccharomyces pastorianus. This study integrated post-thaw viability and vitality assessments of cryopreserved S. eubayanus CRUB 1568áµ with experimental measurements of transient heat transfer and numerical simulation of the freezing stage. Two protocols were evaluated: (A) direct freezing of cryovials in cryoboxes at - 80 °C, governed by convection, and (B) freezing inside a CoolCell® device (Corning Inc., Corning, NY, USA), where heat transfer occurs by conduction through the insulated plastic material. A mathematical model was developed to numerically solve the transient heat transfer equation with phase change using the finite element method. Experimental temperature-time data validated the simulations, allowing estimation of overall heat transfer coefficients (UA = 18.04 W m<sup>-2</sup> K<sup>-1</sup>; UB = 4.76 W m<sup>-2</sup> K<sup>-1</sup>) and characteristic freezing times (tí µíº = 10.9 min; 27.6 min, respectively). Calculated Biot numbers confirmed uniform temperature distribution within cryovials. PROTOCOL A achieved optimal cooling rates (5-7 °C min<sup>-1</sup>) and yielded higher post-thaw viability (71.7 ± 3.5%) compared with PROTOCOL B (51.2 ± 3.6%) after 1 year at - 80 °C. The integration of modeling and experimental data demonstrates that the overall heat transfer coefficient is a key engineering parameter influencing cryopreservation performance. Direct freezing of cryovials in cryoboxes represents a simpler, faster, and lower-cost approach that ensures uniform cooling and higher cell survival, providing a valuable basis for standardizing yeast cryogenic storage in industrial and biotechnological applications. KEY POINTS: Finite element modeling assessed heat transfer during yeast cryopreservation. Direct freezing in cryoboxes achieved higher viability than CoolCell®. Overall heat transfer coefficient (U) is key for cryogenic performance analysis.
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
description Efficient cryopreservation is essential for maintaining the viability of Saccharomyces eubayanus, a cryotolerant wild yeast of industrial importance as the cold-adapted parent of Saccharomyces pastorianus. This study integrated post-thaw viability and vitality assessments of cryopreserved S. eubayanus CRUB 1568áµ with experimental measurements of transient heat transfer and numerical simulation of the freezing stage. Two protocols were evaluated: (A) direct freezing of cryovials in cryoboxes at - 80 °C, governed by convection, and (B) freezing inside a CoolCell® device (Corning Inc., Corning, NY, USA), where heat transfer occurs by conduction through the insulated plastic material. A mathematical model was developed to numerically solve the transient heat transfer equation with phase change using the finite element method. Experimental temperature-time data validated the simulations, allowing estimation of overall heat transfer coefficients (UA = 18.04 W m<sup>-2</sup> K<sup>-1</sup>; UB = 4.76 W m<sup>-2</sup> K<sup>-1</sup>) and characteristic freezing times (tí µíº = 10.9 min; 27.6 min, respectively). Calculated Biot numbers confirmed uniform temperature distribution within cryovials. PROTOCOL A achieved optimal cooling rates (5-7 °C min<sup>-1</sup>) and yielded higher post-thaw viability (71.7 ± 3.5%) compared with PROTOCOL B (51.2 ± 3.6%) after 1 year at - 80 °C. The integration of modeling and experimental data demonstrates that the overall heat transfer coefficient is a key engineering parameter influencing cryopreservation performance. Direct freezing of cryovials in cryoboxes represents a simpler, faster, and lower-cost approach that ensures uniform cooling and higher cell survival, providing a valuable basis for standardizing yeast cryogenic storage in industrial and biotechnological applications. KEY POINTS: Finite element modeling assessed heat transfer during yeast cryopreservation. Direct freezing in cryoboxes achieved higher viability than CoolCell®. Overall heat transfer coefficient (U) is key for cryogenic performance analysis.
publishDate 2026
dc.date.none.fl_str_mv 2026-03-13
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1007/s00253-026-13779-0
http://sedici.unlp.edu.ar/handle/10915/193611
url https://doi.org/10.1007/s00253-026-13779-0
http://sedici.unlp.edu.ar/handle/10915/193611
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00253-026-13779-0#author-information
info:eu-repo/semantics/altIdentifier/issn/1432-0614
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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