Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10400.5/13747 |
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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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)INIARepositório da Universidade de LisboaSantos, António J.A.Anjos, OféliaPereira, Helena2017-06-09T11:20:00Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/13747engSantos, A.J.A., Anjos, O., Pereira, H. (2015). Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy. Forest Systems, Volume 24, Issue 2, eRC03, 6 pages2171-9845http://dx.doi.org/10.5424/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:RCAAP2025-03-17T15:58:25Zoai:repositorio.ulisboa.pt:10400.5/13747Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T03:59:08.789635Repositórios 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.A. 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.A. |
author_facet |
Santos, António J.A. Anjos, Ofélia Pereira, Helena |
author_role |
author |
author2 |
Anjos, Ofélia Pereira, Helena |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Santos, António J.A. Anjos, Ofélia 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 2017-06-09T11:20:00Z |
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/10400.5/13747 |
url |
http://hdl.handle.net/10400.5/13747 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Santos, A.J.A., Anjos, O., Pereira, H. (2015). Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy. Forest Systems, Volume 24, Issue 2, eRC03, 6 pages 2171-9845 http://dx.doi.org/10.5424/fs/2015242-07580 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
INIA |
publisher.none.fl_str_mv |
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 instacron:RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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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 |
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