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Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals

Nanoparticles possess unique, size-driven properties. However, they can be challenging to use as they easily agglomerate - their high surface area-to-volume ratio induces strong interparticle forces, generating agglomerates that are difficult to break. This issue prevails in organic particles as wel...

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Autores principales: Girard, Mélanie, Vidal, David, Bertrand, François, Tavares, Jason R., Heuzey, Marie-Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786632/
https://www.ncbi.nlm.nih.gov/pubmed/33186861
http://dx.doi.org/10.1016/j.ultsonch.2020.105378
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author Girard, Mélanie
Vidal, David
Bertrand, François
Tavares, Jason R.
Heuzey, Marie-Claude
author_facet Girard, Mélanie
Vidal, David
Bertrand, François
Tavares, Jason R.
Heuzey, Marie-Claude
author_sort Girard, Mélanie
collection PubMed
description Nanoparticles possess unique, size-driven properties. However, they can be challenging to use as they easily agglomerate - their high surface area-to-volume ratio induces strong interparticle forces, generating agglomerates that are difficult to break. This issue prevails in organic particles as well, such as cellulose nanocrystals (CNCs); when in their dried form, strong hydrogen bonding enhances agglomeration. Ultrasonication is widely applied to prepare CNC suspensions, but the methodology employed is non-standardized and typically under-reported, and process efficiency is unknown. This limits the ability to adapt dispersion protocols at industrial scales. Herein, numerical simulations are used in conjunction with validation experiments to define and optimize key parameters for ultrasonic dispersion of CNCs, allowing an operating window to be inferred.
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spelling pubmed-77866322021-01-06 Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals Girard, Mélanie Vidal, David Bertrand, François Tavares, Jason R. Heuzey, Marie-Claude Ultrason Sonochem Original Research Article Nanoparticles possess unique, size-driven properties. However, they can be challenging to use as they easily agglomerate - their high surface area-to-volume ratio induces strong interparticle forces, generating agglomerates that are difficult to break. This issue prevails in organic particles as well, such as cellulose nanocrystals (CNCs); when in their dried form, strong hydrogen bonding enhances agglomeration. Ultrasonication is widely applied to prepare CNC suspensions, but the methodology employed is non-standardized and typically under-reported, and process efficiency is unknown. This limits the ability to adapt dispersion protocols at industrial scales. Herein, numerical simulations are used in conjunction with validation experiments to define and optimize key parameters for ultrasonic dispersion of CNCs, allowing an operating window to be inferred. Elsevier 2020-10-28 /pmc/articles/PMC7786632/ /pubmed/33186861 http://dx.doi.org/10.1016/j.ultsonch.2020.105378 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Girard, Mélanie
Vidal, David
Bertrand, François
Tavares, Jason R.
Heuzey, Marie-Claude
Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title_full Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title_fullStr Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title_full_unstemmed Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title_short Evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
title_sort evidence-based guidelines for the ultrasonic dispersion of cellulose nanocrystals
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786632/
https://www.ncbi.nlm.nih.gov/pubmed/33186861
http://dx.doi.org/10.1016/j.ultsonch.2020.105378
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