Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties

Autores
Monteoliva, Silvia Estela; Area, Maria Cristina; Felissia, Fernando Esteban
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this work was to establish relations, through multiple regressions, that allow the prediction of the properties of CMP pulp from willows for newsprint, from the viewpoint of wood characteristics. Another objective was to verify whether the traditional factors used to characterize softwood mechanical pulps are still applicable to hardwood chemimechanical pulps. Linear and quadratic multiple regression models were evaluated by the results of a previous work, on the chemimechanical pulping of six willow clones (Salix sp) from two different plantation sites. The variables measured on wood, considered as independent variables, were the following: basic density, fiber length, fiber width, cell wall thickness, lumen width, moisture content, hot water and alcohol-benzene extractive content, total extractives, soluble materials in 1% sodium hydroxide, insoluble, soluble and total lignin, and cellulose content of wood. The independent pulp variables were fractions of MacNett classification, Forgacs’ “L” factor, intrinsic fiber strength (measured by zero span tensile test), water retention value (WRV) and pulp drainability (°SR). The dependent variables used were specific volume, tear and tensile index, brightness, opacity, light scattering coefficient (s) and light absorption coefficients of handsheets (k). The best fit models were obtained by considering fiber fractions and pulp weakening and, to a lesser extent, the properties of wood. Therefore, one could reasonably predict numerous chemimechanical pulp properties that could be used as a first selection criterion for obtaining clones for pulp with better mechanical and optical properties.
Fil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Area, Maria Cristina. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Felissia, Fernando Esteban. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; Argentina
Materia
Salix
Clones
Wood Characteristics
Pulp Properties
Linear And Quadratic Regression
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/62680
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp propertiesMonteoliva, Silvia EstelaArea, Maria CristinaFelissia, Fernando EstebanSalixClonesWood CharacteristicsPulp PropertiesLinear And Quadratic Regressionhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The aim of this work was to establish relations, through multiple regressions, that allow the prediction of the properties of CMP pulp from willows for newsprint, from the viewpoint of wood characteristics. Another objective was to verify whether the traditional factors used to characterize softwood mechanical pulps are still applicable to hardwood chemimechanical pulps. Linear and quadratic multiple regression models were evaluated by the results of a previous work, on the chemimechanical pulping of six willow clones (Salix sp) from two different plantation sites. The variables measured on wood, considered as independent variables, were the following: basic density, fiber length, fiber width, cell wall thickness, lumen width, moisture content, hot water and alcohol-benzene extractive content, total extractives, soluble materials in 1% sodium hydroxide, insoluble, soluble and total lignin, and cellulose content of wood. The independent pulp variables were fractions of MacNett classification, Forgacs’ “L” factor, intrinsic fiber strength (measured by zero span tensile test), water retention value (WRV) and pulp drainability (°SR). The dependent variables used were specific volume, tear and tensile index, brightness, opacity, light scattering coefficient (s) and light absorption coefficients of handsheets (k). The best fit models were obtained by considering fiber fractions and pulp weakening and, to a lesser extent, the properties of wood. Therefore, one could reasonably predict numerous chemimechanical pulp properties that could be used as a first selection criterion for obtaining clones for pulp with better mechanical and optical properties.Fil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Area, Maria Cristina. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Felissia, Fernando Esteban. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; ArgentinaEditura Acad Romane2008-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62680Monteoliva, Silvia Estela; Area, Maria Cristina; Felissia, Fernando Esteban; Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties; Editura Acad Romane; Cellulose Chemistry And Technology; 42; 1-3; 2-2008; 45-590576-97872457-9459CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.cellulosechemtechnol.ro/onlinearticles.phpinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:26:15Zoai:ri.conicet.gov.ar:11336/62680instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:26:15.89CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
title Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
spellingShingle Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
Monteoliva, Silvia Estela
Salix
Clones
Wood Characteristics
Pulp Properties
Linear And Quadratic Regression
title_short Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
title_full Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
title_fullStr Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
title_full_unstemmed Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
title_sort Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties
dc.creator.none.fl_str_mv Monteoliva, Silvia Estela
Area, Maria Cristina
Felissia, Fernando Esteban
author Monteoliva, Silvia Estela
author_facet Monteoliva, Silvia Estela
Area, Maria Cristina
Felissia, Fernando Esteban
author_role author
author2 Area, Maria Cristina
Felissia, Fernando Esteban
author2_role author
author
dc.subject.none.fl_str_mv Salix
Clones
Wood Characteristics
Pulp Properties
Linear And Quadratic Regression
topic Salix
Clones
Wood Characteristics
Pulp Properties
Linear And Quadratic Regression
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The aim of this work was to establish relations, through multiple regressions, that allow the prediction of the properties of CMP pulp from willows for newsprint, from the viewpoint of wood characteristics. Another objective was to verify whether the traditional factors used to characterize softwood mechanical pulps are still applicable to hardwood chemimechanical pulps. Linear and quadratic multiple regression models were evaluated by the results of a previous work, on the chemimechanical pulping of six willow clones (Salix sp) from two different plantation sites. The variables measured on wood, considered as independent variables, were the following: basic density, fiber length, fiber width, cell wall thickness, lumen width, moisture content, hot water and alcohol-benzene extractive content, total extractives, soluble materials in 1% sodium hydroxide, insoluble, soluble and total lignin, and cellulose content of wood. The independent pulp variables were fractions of MacNett classification, Forgacs’ “L” factor, intrinsic fiber strength (measured by zero span tensile test), water retention value (WRV) and pulp drainability (°SR). The dependent variables used were specific volume, tear and tensile index, brightness, opacity, light scattering coefficient (s) and light absorption coefficients of handsheets (k). The best fit models were obtained by considering fiber fractions and pulp weakening and, to a lesser extent, the properties of wood. Therefore, one could reasonably predict numerous chemimechanical pulp properties that could be used as a first selection criterion for obtaining clones for pulp with better mechanical and optical properties.
Fil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Area, Maria Cristina. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Felissia, Fernando Esteban. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales; Argentina
description The aim of this work was to establish relations, through multiple regressions, that allow the prediction of the properties of CMP pulp from willows for newsprint, from the viewpoint of wood characteristics. Another objective was to verify whether the traditional factors used to characterize softwood mechanical pulps are still applicable to hardwood chemimechanical pulps. Linear and quadratic multiple regression models were evaluated by the results of a previous work, on the chemimechanical pulping of six willow clones (Salix sp) from two different plantation sites. The variables measured on wood, considered as independent variables, were the following: basic density, fiber length, fiber width, cell wall thickness, lumen width, moisture content, hot water and alcohol-benzene extractive content, total extractives, soluble materials in 1% sodium hydroxide, insoluble, soluble and total lignin, and cellulose content of wood. The independent pulp variables were fractions of MacNett classification, Forgacs’ “L” factor, intrinsic fiber strength (measured by zero span tensile test), water retention value (WRV) and pulp drainability (°SR). The dependent variables used were specific volume, tear and tensile index, brightness, opacity, light scattering coefficient (s) and light absorption coefficients of handsheets (k). The best fit models were obtained by considering fiber fractions and pulp weakening and, to a lesser extent, the properties of wood. Therefore, one could reasonably predict numerous chemimechanical pulp properties that could be used as a first selection criterion for obtaining clones for pulp with better mechanical and optical properties.
publishDate 2008
dc.date.none.fl_str_mv 2008-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/62680
Monteoliva, Silvia Estela; Area, Maria Cristina; Felissia, Fernando Esteban; Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties; Editura Acad Romane; Cellulose Chemistry And Technology; 42; 1-3; 2-2008; 45-59
0576-9787
2457-9459
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62680
identifier_str_mv Monteoliva, Silvia Estela; Area, Maria Cristina; Felissia, Fernando Esteban; Willow CM pulps for newsprint: II. Relationships between wood characteristics and pulp properties; Editura Acad Romane; Cellulose Chemistry And Technology; 42; 1-3; 2-2008; 45-59
0576-9787
2457-9459
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.cellulosechemtechnol.ro/onlinearticles.php
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Editura Acad Romane
publisher.none.fl_str_mv Editura Acad Romane
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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