Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/45746
Type: Artigo de Periódico
Title: Evaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of wood
Authors: Talita Baldin
José Newton Cardoso Marchiori
Glêison Augusto dos Santos
Ricardo Gallo
Osmarino dos Santos
Brígida Maria dos Reis Teixeira Valente
Paulo Ricardo Gherardi Hein
Abstract: The 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.
Subject: Eucalipto
Madeira - Efeito da umidade
Madeira serrada - Secagem
Celulose
Lignina
Resíduos vegetais
Espectroscopia de infravermelho
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Rights: Acesso Aberto
URI: http://hdl.handle.net/1843/45746
Issue Date: 2018
metadata.dc.url.externa: https://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_13_3_5394_Baldin_Alternative_Sample_Preparation_Methods/0
metadata.dc.relation.ispartof: BioResources
Appears in Collections:Artigo de Periódico



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