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Prediction of blackwood kraft pulps yields with wood NIR–PLSR models

dc.contributor.authorSantos, António J.
dc.contributor.authorAnjos, O.
dc.contributor.authorPereira, Helena
dc.date.accessioned2017-07-22T16:33:54Z
dc.date.available2017-07-22T16:33:54Z
dc.date.issued2016
dc.description.abstractPulp yield is an important measure of pulpwood quality, which is used regularly by the pulp and paper industry for which the possibility of using rapid methods to predict pulp yield would be very useful for screening and quality control. This work addresses the prediction of Kraft pulp yield under standard identical conditions and targeted to a kappa number of 15, using near-infrared (NIR) partial least squares regression modelling. A total of 75 pulp samples of Acacia melanoxylon R. Br. (blackwood) with a pulp yield variation range of 47.0–58.2 % were used. Very good correlations between NIR spectra and pulp yield were obtained. Ten methods were used for PLS analysis (cross-validation with 62 samples), and an external validation was made with 13 samples. The 2ndDer pre-processed spectra coupling two wavenumber ranges from 9087 to 5440 and 4605 to 4243 cm−1 allowed the best model with a standard error of prediction of 0.4 %, a r2 of 98.1 %, and the ratios of performance to deviation (RPDTS) of 4.8. According to AACC Method 39-00, the present model is sufficiently accurate to be used in screening programs and in quality control (RPDCV = 6.9).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, A.J.A. ; ANJOS, O. ; PEREIRA, H. (2016) - Prediction of blackwood kraft pulps yields with wood NIR–PLSR models. Wood Science and Technology. ISSN 0043-7719. 50:6. P. 1307-1322.pt_PT
dc.identifier.doi10.1007/s00226-016-0837-xpt_PT
dc.identifier.issn0043-7719
dc.identifier.urihttp://hdl.handle.net/10400.11/5617
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.titlePrediction of blackwood kraft pulps yields with wood NIR–PLSR modelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1322pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1307pt_PT
oaire.citation.titleWood Science and Technologypt_PT
oaire.citation.volume50pt_PT
person.familyNameAnjos
person.givenNameOfélia
person.identifier.ciencia-idC21D-D8C7-3037
person.identifier.orcid0000-0003-0267-3252
person.identifier.ridG-2808-2012
person.identifier.scopus-author-id23395659700
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationdf9191ae-0bbb-4bb8-bbdc-0f79c7365876
relation.isAuthorOfPublication.latestForDiscoverydf9191ae-0bbb-4bb8-bbdc-0f79c7365876

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