000			02147nab a2200301 4500
003			BR-BrBNA
005			20260504101949.0
008			260504b2019 bl.qr|pooa||| 00| 0 eng |
040			_aBR-BrBNA _beng
072			_aP07 _b8905
100			_aRamalho, Fernanda Maria Guedes
100			_aSimetti, Rodrigo
100			_aArriel, Taiana Guimarães
100			_aLoureiro, Breno Assis
100			_aHein, Paulo Ricardo Gherardi
245			_aInfluence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
500			_aPublicação on-line; 22 ref.; 1 table; 3 illus.; Summary (En)
520			_a 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. Keywords: wood pyrolysis, NIR, proximate chemical analysis, forest biomass.
650			_aANÁLISE QUÍMICA
650			_aCARVÃO VEGETAL
650			_aBIOMASSA
650			_aFLORESTA
650			_aMADEIRA
773	0		_02929 _9347954 _dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 _o2025-0453 _tFloresta e Ambiente (Brazil) _x1415-0980 / ISSN 2179-8087 0nline _gv. 26(special number n.1) p. 1-8; (2019) _wBR2026001307
856			_uhttps://www.scielo.br/j/floram/a/jc9K4R5nghF9rrrJbkcH3kd/?format=pdf&lang=en
942			_cANA
999			_c341640 _d341640