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Title: Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
Keywords: Wood pyrolysis
Proximate chemical analysis
Forest biomass
Madeira - Pirólise
Carvão vegetal - Análise química
Espectroscopia no infravermelho próximo
Biomassa florestal
Issue Date: 2019
Publisher: Universidade Federal Rural do Rio de Janeiro
Citation: RAMALHO, F. M. G. et al. Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties. Floresta e Ambiente, Seropédica, v. 26, n. spe. 1, 2019. Não paginado.
Abstract: 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.
Appears in Collections:DCF - Artigos publicados em periódicos

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