文献类型：期刊文献

英文题名：Evaluation of the spatial variation in moisture content inside wood pieces during drying by NIR spectroscopy

作者：Baliza, Livia Freire[1] da Silva, Carlos Henrique[1] Amaral, Evelize Aparecida[1] Ramalho, Fernanda Maria Guedes[2,3] Trugilho, Paulo Fernando[1] Sun, Honggang[4] Hein, Paulo Ricardo Gherardi[1,3]

第一作者：Baliza, Livia Freire

通信作者：Hein, PRG[1];Hein, PRG[2]

机构：[1]Univ Fed Lavras, Dept Ciencias Florestais, DCF, BR-37200900 Lavras, MG, Brazil;[2]KLABIN SA, BR-84275000 Telemaco Borba, Parana, Brazil;[3]Univ Fed Lavras, Nucl Estudos Madeira NEMAD, Lavras, Brazil;[4]Chinese Acad Forestry, Res Inst Subtrop Forestry, Hangzhou 311400, Peoples R China

年份：2023

卷号：77

期号：2

起止页码：95-105

外文期刊名：HOLZFORSCHUNG

收录：;EI(收录号：20225213297605);Scopus(收录号：2-s2.0-85144339826);WOS:【SCI-EXPANDED(收录号:WOS:000898103800001)】；

基金：This project was financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) -Finance Code 001, by the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq: grants n. 406593/2021-3) and by Fundacao de Amparo a` Pesquisa do Estado de Minas Gerais (FAPEMIG). P. R. G. Hein was supported by CNPq grants (process no. 309620/2020-1). This study was also supported by the Wood Science and Technology Graduation Program (DCF/UFLA, Brazil).

语种：英文

外文关键词：desorption monitoring; moisture gradient; NIR spectroscopy; spatial variation; wood drying

摘要：The moisture content (MC) of wood affects its industrial performance, but it is difficult to monitor spatial variations in MC. Here, a multivariate regression was developed to estimate the MC from near infrared (NIR) spectra and was used to monitor the spatial variation in the MC of wood during air- and oven-drying. The spectra and mass of wood pieces were measured at five stages during drying (at each 20% loss of initial water mass). Wood pieces were dried naturally and oven-dried at 60 degrees C. Initially, 25 spectra were recorded at equidistant points covering the entire longitudinal x radial surface of the sample. Then, a planing machine was used to access the inside of the wood, and NIR spectra were measured for each new surface, at a total of 100 points spatially distributed within the wood pieces. The wood pieces were analyzed in their original state, and when they had lost 20, 40, 60, and 80% of their initial water mass. An NIR-based regression (R-p(2) = 0.90 and RMSEP = 10.51%) was applied to estimate the MC, and its spatial gradient during drying was then mapped. These analyses revealed the spatial variation in MC within wood pieces during drying.