Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties

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 granulomet...

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Bibliographic Details
Published in:Floresta e ambiente 2019, Vol.26 (spe1)
Main Authors: Ramalho, Fernanda Maria Guedes, Simetti, Rodrigo, Arriel, Taiana Guimarães, Loureiro, Breno Assis, Hein, Paulo Ricardo Gherardi
Format: Article
Language:English
Subjects:
forest biomass
NIR
PLANT SCIENCES
proximate chemical analysis
wood pyrolysis
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Summary: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.
ISSN:1415-0980
2179-8087
2179-8087
DOI:10.1590/2179-8087.039718