Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
Material type:
ArticleSubject(s): Online resources:
In:
Floresta e Ambiente (Brazil) v. 26(special number n.1) p. 1-8; (2019)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.
Keywords: wood pyrolysis, NIR, proximate chemical analysis, forest biomass.
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Periódicos
|
Biblioteca Nacional de Agricultura - Binagri Agrobase - Periódicos | Periódicos agrícolas | 2019 26( n. especial 1) | Online | 2025-0453 |
Publicação on-line; 22 ref.; 1 table; 3 illus.; Summary (En)
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.
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