02102nab a2200289   4500003000900000005001700009008004100026040001800067072001400085100003600099100002200135100003200157100002700189100003400216245008800250500006900338520100800407650002401415650002101439650001301460650001301473650001201486773020601498856008101704942000801785999001901793BR-BrBNA20260504101949.0260504b2019    bl.qr|pooa||| 00| 0 eng |  aBR-BrBNAbeng  aP07b8905  aRamalho, Fernanda Maria Guedes   aSimetti, Rodrigo   aArriel, Taiana Guimarães   aLoureiro, Breno Assis   aHein, Paulo Ricardo Gherardi   aInfluence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties  aPublicação on-line; 22 ref.; 1 table; 3 illus.; Summary (En)  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.  aANÁLISE QUÍMICA  aCARVÃO VEGETAL  aBIOMASSA  aFLORESTA  aMADEIRA0 029299347954dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994o2025-0453tFloresta e Ambiente (Brazil)x1415-0980  /  ISSN 2179-8087 0nlinegv. 26(special number n.1) p. 1-8; (2019)wBR2026001307  uhttps://www.scielo.br/j/floram/a/jc9K4R5nghF9rrrJbkcH3kd/?format=pdf&lang=en  cANA  c341640d341640