Simplification of gel point characterization of cellulose nano and microfiber suspensions

Nanocellulose is an emerging material that needs to be well characterized to control its performance during industrial applications. Gel point (Øg) is a convenient parameter commonly used to estimate the aspect ratio (AR) of cellulose nano/microfibers (CNFs/CMFs), providing critical information on t...

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Detalles Bibliográficos
Autores: Sánchez Salvador, José Luis, Monte Lara, María Concepción, Negro Álvarez, Carlos Manuel, Batchelor, Warren, Garnier, Gil, Blanco Suárez, María Ángeles
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/7215
Acceso en línea:https://hdl.handle.net/20.500.14352/7215
Access Level:acceso abierto
Palabra clave:66.0
Aspect ratio
Cellulose nanofibers
Characterization
CSAPS smoothing spline
Gel point
Sedimentation
Industria del papel
Ingeniería química
3312.13 Tecnología de la Madera
3303 Ingeniería y Tecnología Químicas
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oai_identifier_str oai:docta.ucm.es:20.500.14352/7215
network_acronym_str ES
network_name_str España
repository_id_str
spelling Simplification of gel point characterization of cellulose nano and microfiber suspensionsSánchez Salvador, José LuisMonte Lara, María ConcepciónNegro Álvarez, Carlos ManuelBatchelor, WarrenGarnier, GilBlanco Suárez, María Ángeles66.0Aspect ratioCellulose nanofibersCharacterizationCSAPS smoothing splineGel pointSedimentationIndustria del papelIngeniería química3312.13 Tecnología de la Madera3303 Ingeniería y Tecnología QuímicasNanocellulose is an emerging material that needs to be well characterized to control its performance during industrial applications. Gel point (Øg) is a convenient parameter commonly used to estimate the aspect ratio (AR) of cellulose nano/microfibers (CNFs/CMFs), providing critical information on the nanofiber network. However, its estimation requires many sedimentation experiments, tedious and time consuming. In this study, a simpler and faster technique is presented to estimate Øg, based on one or two sedimentation experiments, reducing the experiments by a factor of at least 2.5. Here, this new methodology is successfully validated by using the Øg of different CNF/CMF hydrogels calculated with the traditional methodology, showing an error lower than 7%. The error in the estimation of the AR is lower than 3% in all cases. Furthermore, the two mathematical models currently used to estimate Øg, the smoothing spline and the quadratic fit, are compared and the mathematical assumptions improved.SpringerUniversidad Complutense de Madrid20212021-06-1720212021-06-17journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/7215reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/72152026-06-02T12:44:21Z
dc.title.none.fl_str_mv Simplification of gel point characterization of cellulose nano and microfiber suspensions
title Simplification of gel point characterization of cellulose nano and microfiber suspensions
spellingShingle Simplification of gel point characterization of cellulose nano and microfiber suspensions
Sánchez Salvador, José Luis
66.0
Aspect ratio
Cellulose nanofibers
Characterization
CSAPS smoothing spline
Gel point
Sedimentation
Industria del papel
Ingeniería química
3312.13 Tecnología de la Madera
3303 Ingeniería y Tecnología Químicas
title_short Simplification of gel point characterization of cellulose nano and microfiber suspensions
title_full Simplification of gel point characterization of cellulose nano and microfiber suspensions
title_fullStr Simplification of gel point characterization of cellulose nano and microfiber suspensions
title_full_unstemmed Simplification of gel point characterization of cellulose nano and microfiber suspensions
title_sort Simplification of gel point characterization of cellulose nano and microfiber suspensions
dc.creator.none.fl_str_mv Sánchez Salvador, José Luis
Monte Lara, María Concepción
Negro Álvarez, Carlos Manuel
Batchelor, Warren
Garnier, Gil
Blanco Suárez, María Ángeles
author Sánchez Salvador, José Luis
author_facet Sánchez Salvador, José Luis
Monte Lara, María Concepción
Negro Álvarez, Carlos Manuel
Batchelor, Warren
Garnier, Gil
Blanco Suárez, María Ángeles
author_role author
author2 Monte Lara, María Concepción
Negro Álvarez, Carlos Manuel
Batchelor, Warren
Garnier, Gil
Blanco Suárez, María Ángeles
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 66.0
Aspect ratio
Cellulose nanofibers
Characterization
CSAPS smoothing spline
Gel point
Sedimentation
Industria del papel
Ingeniería química
3312.13 Tecnología de la Madera
3303 Ingeniería y Tecnología Químicas
topic 66.0
Aspect ratio
Cellulose nanofibers
Characterization
CSAPS smoothing spline
Gel point
Sedimentation
Industria del papel
Ingeniería química
3312.13 Tecnología de la Madera
3303 Ingeniería y Tecnología Químicas
description Nanocellulose is an emerging material that needs to be well characterized to control its performance during industrial applications. Gel point (Øg) is a convenient parameter commonly used to estimate the aspect ratio (AR) of cellulose nano/microfibers (CNFs/CMFs), providing critical information on the nanofiber network. However, its estimation requires many sedimentation experiments, tedious and time consuming. In this study, a simpler and faster technique is presented to estimate Øg, based on one or two sedimentation experiments, reducing the experiments by a factor of at least 2.5. Here, this new methodology is successfully validated by using the Øg of different CNF/CMF hydrogels calculated with the traditional methodology, showing an error lower than 7%. The error in the estimation of the AR is lower than 3% in all cases. Furthermore, the two mathematical models currently used to estimate Øg, the smoothing spline and the quadratic fit, are compared and the mathematical assumptions improved.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-06-17
2021
2021-06-17
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/7215
url https://hdl.handle.net/20.500.14352/7215
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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