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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/45746
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dc.creatorTalita Baldinpt_BR
dc.creatorJosé Newton Cardoso Marchioript_BR
dc.creatorGlêison Augusto dos Santospt_BR
dc.creatorRicardo Gallopt_BR
dc.creatorOsmarino dos Santospt_BR
dc.creatorBrígida Maria dos Reis Teixeira Valentept_BR
dc.creatorPaulo Ricardo Gherardi Heinpt_BR
dc.date.accessioned2022-09-29T17:05:08Z-
dc.date.available2022-09-29T17:05:08Z-
dc.date.issued2018-
dc.citation.volume13pt_BR
dc.citation.issue3pt_BR
dc.citation.spage5394pt_BR
dc.citation.epage5407pt_BR
dc.identifier.issn1930-2126pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/45746-
dc.description.resumoThe aim of this work was to investigate the influence of sample preparation including variation in moisture content and particle size on the accuracy of near infrared (NIR) spectroscopy models developed to predict Klason lignin, total lignin, and holocellulose in wood. Seventy-five samples of sawdust obtained from a eucalyptus plantation were divided into aliquots and submitted to three different treatments: traditional (TRAD), large particle dried at room temperature (LPRT), and large particle oven-dried (LPOD). The influence of sample preparation method on models’ accuracy was compared by statistical analysis. Overall, grinding to a larger particle size and drying at room temperature (treatment LPRT) did not decrease the accuracy of the prediction models when compared to the TRAD sample preparation method. These findings were more evident for Klason lignin and holocellulose. This is relevant because resources used for sample preparation (i.e. grinding and drying) can be minimized, which is expected to reduce the costs associated with analysis of wood properties by NIR.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipOutra Agênciapt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofBioResourcespt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherEucaliptopt_BR
dc.subject.otherMadeira - Efeito da umidadept_BR
dc.subject.otherMadeira serrada - Secagempt_BR
dc.subject.otherCelulosept_BR
dc.subject.otherLigninapt_BR
dc.subject.otherResíduos vegetaispt_BR
dc.subject.otherEspectroscopia de infravermelhopt_BR
dc.titleEvaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of woodpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_13_3_5394_Baldin_Alternative_Sample_Preparation_Methods/0pt_BR
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