Evaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of wood

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dc.creatorTalita Baldin
dc.creatorJosé Newton Cardoso Marchiori
dc.creatorGlêison Augusto dos Santos
dc.creatorRicardo Gallo
dc.creatorOsmarino dos Santos
dc.creatorBrígida Maria dos Reis Teixeira Valente
dc.creatorPaulo Ricardo Gherardi Hein
dc.date.accessioned2022-09-29T17:05:08Z
dc.date.accessioned2025-09-09T00:35:54Z
dc.date.available2022-09-29T17:05:08Z
dc.date.issued2018
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipOutra Agência
dc.identifier.issn1930-2126
dc.identifier.urihttps://hdl.handle.net/1843/45746
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofBioResources
dc.rightsAcesso Aberto
dc.subjectEucalipto
dc.subjectMadeira - Efeito da umidade
dc.subjectMadeira serrada - Secagem
dc.subjectCelulose
dc.subjectLignina
dc.subjectResíduos vegetais
dc.subjectEspectroscopia de infravermelho
dc.titleEvaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of wood
dc.typeArtigo de periódico
local.citation.epage5407
local.citation.issue3
local.citation.spage5394
local.citation.volume13
local.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.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_13_3_5394_Baldin_Alternative_Sample_Preparation_Methods/0

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