Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
Ramalho, Fernanda Maria Guedes
DATA DE PUBLICAÇÃO
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.
- Influence of Wood Physical Properties on Charcoal from Eucalyptus spp.
- Microwave radiation influence on the thermal and spectroscopic properties of Na-birnessite-type material
- Comparison of enzymic with cineangiocardiographic estimations of myocardial infarct size.
- Effect of Wood-derived Charcoal Content on Properties of Wood Plastic Composites
- Influence of Age on the Discrimination of Tectona grandis by VIS/NIR Spectroscopy