期刊
FLORESTA E AMBIENTE
卷 26, 期 -, 页码 -出版社
UNIV FEDERAL RURAL RIO DE JANEIRO, INST FLORESTAS
DOI: 10.1590/2179-8087.039718
关键词
wood pyrolysis; NIR; proximate chemical analysis; forest biomass
类别
资金
- Fundacao de Amparo a Pesquisa do Estado de Minas Gerais
- Universidade Federal de Lavras
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico [405085/2016-8, 303675/2017-9, 141427/2017-5]
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior [001]
The objective of this study was to evaluate the influence of particle size of charcoal samples on the predictive model statistics of charcoal chemical composition based on the NIR spectroscopy. Spectra of Acacia and of Eucalyptus charcoal were collected in the 100, 60 and 40 mesh granulometry, besides the powder remaining at the bottom of the sieves sets. They were subjected to principal component analysis and partial least square regression in order to estimate of volatile material (VMC), ash (AC) and fixed carbon content (FCC) values. The estimation of the FCC, VMC and AC of Eucalyptus based on NIR was more accurate using spectra of lower-particle-size powder. The models for Acacia charcoal were better using spectra measured at 40 mesh to predict FCC, 100 mesh for AC, and smaller size for VMC. NIR spectroscopy was efficient in estimating the immediate chemical composition of charcoal, except for AC.
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