Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy

Detalhes bibliográficos
Autor(a) principal: Santos, António J.
Data de Publicação: 2015
Outros Autores: Anjos, O., Pereira, Helena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.11/5618
Resumo: Aim of the study: The ability of NIR spectroscopy for predicting the ISO brightness was studied on unbleached Kraft pulps of Acacia melanoxylon R. Br. Area of study: Sites covering littoral north, mid interior north and centre interior of Portugal. Materials and methods: The samples were Kraft pulped in standard identical conditions targeted to a kappa number of 15. A Near Infrared (NIR) partial least squares regression (PLSR) model was developed for the ISO brightness prediction using 75 pulp samples with a variation range of 18.9 to 47.9 %. Main results: Very good correlations between NIR spectra and ISO brightness were obtained. Ten methods were used for PLS analysis (cross validation with 48 samples), and a test set validation was made with 27 samples. The 1stDer pre-processed spectra coupling two wavenumber ranges from 9404 to 7498 cm-1 and 4605 to 4243 cm-1 allowed the best model with a root mean square error of ISO brightness prediction of 0.5 % (RMSEP), a r2 of 99.5 % with a RPD of 14.7. Research highlights: According to AACC Method 39-00, the present model is sufficiently accurate to be used for process control (RPD ≥ 8).
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spelling Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopyAcacia melanoxylonUnbleached Kraft pulpsISO BrightnessNIRRPDAim of the study: The ability of NIR spectroscopy for predicting the ISO brightness was studied on unbleached Kraft pulps of Acacia melanoxylon R. Br. Area of study: Sites covering littoral north, mid interior north and centre interior of Portugal. Materials and methods: The samples were Kraft pulped in standard identical conditions targeted to a kappa number of 15. A Near Infrared (NIR) partial least squares regression (PLSR) model was developed for the ISO brightness prediction using 75 pulp samples with a variation range of 18.9 to 47.9 %. Main results: Very good correlations between NIR spectra and ISO brightness were obtained. Ten methods were used for PLS analysis (cross validation with 48 samples), and a test set validation was made with 27 samples. The 1stDer pre-processed spectra coupling two wavenumber ranges from 9404 to 7498 cm-1 and 4605 to 4243 cm-1 allowed the best model with a root mean square error of ISO brightness prediction of 0.5 % (RMSEP), a r2 of 99.5 % with a RPD of 14.7. Research highlights: According to AACC Method 39-00, the present model is sufficiently accurate to be used for process control (RPD ≥ 8).Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)Repositório Científico do Instituto Politécnico de Castelo BrancoSantos, António J.Anjos, O.Pereira, Helena2017-07-22T16:34:45Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/5618eng2171-984510.5424/fs/2015242-07580info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:10:07Zoai:repositorio.ipcb.pt:10400.11/5618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:25:15.031373Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
title Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
spellingShingle Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
Santos, António J.
Acacia melanoxylon
Unbleached Kraft pulps
ISO Brightness
NIR
RPD
title_short Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
title_full Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
title_fullStr Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
title_full_unstemmed Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
title_sort Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
author Santos, António J.
author_facet Santos, António J.
Anjos, O.
Pereira, Helena
author_role author
author2 Anjos, O.
Pereira, Helena
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Santos, António J.
Anjos, O.
Pereira, Helena
dc.subject.por.fl_str_mv Acacia melanoxylon
Unbleached Kraft pulps
ISO Brightness
NIR
RPD
topic Acacia melanoxylon
Unbleached Kraft pulps
ISO Brightness
NIR
RPD
description Aim of the study: The ability of NIR spectroscopy for predicting the ISO brightness was studied on unbleached Kraft pulps of Acacia melanoxylon R. Br. Area of study: Sites covering littoral north, mid interior north and centre interior of Portugal. Materials and methods: The samples were Kraft pulped in standard identical conditions targeted to a kappa number of 15. A Near Infrared (NIR) partial least squares regression (PLSR) model was developed for the ISO brightness prediction using 75 pulp samples with a variation range of 18.9 to 47.9 %. Main results: Very good correlations between NIR spectra and ISO brightness were obtained. Ten methods were used for PLS analysis (cross validation with 48 samples), and a test set validation was made with 27 samples. The 1stDer pre-processed spectra coupling two wavenumber ranges from 9404 to 7498 cm-1 and 4605 to 4243 cm-1 allowed the best model with a root mean square error of ISO brightness prediction of 0.5 % (RMSEP), a r2 of 99.5 % with a RPD of 14.7. Research highlights: According to AACC Method 39-00, the present model is sufficiently accurate to be used for process control (RPD ≥ 8).
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2017-07-22T16:34:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.11/5618
url http://hdl.handle.net/10400.11/5618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2171-9845
10.5424/fs/2015242-07580
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
publisher.none.fl_str_mv Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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