2019
DOI: 10.1590/2179-8087.039718
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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 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 c… Show more

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Cited by 3 publications
(1 citation statement)
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“…Caution should always be observed regarding vial wall thickness. [20][21] A critical issue is the need to consider a distinction between a sample cell (containing a sample already extractedwith or without managed sampling errors) and a sampling cell, which is actively delineating the effective sample volume from which spectral acquisition takes place for a moving material stream (conveyor belt, pipeline, bypass stream, PAT). The sampling cell interface actually determines the very possibility for representative PAT process analysis or not; full treatment of these issues can be found in 3,[5][6][7]12 ; this topic was recently treated in depth at the 10 th World Conference on Sampling and Blending (WCSB10).…”
Section: What's Special About Nir?mentioning
confidence: 99%
“…Caution should always be observed regarding vial wall thickness. [20][21] A critical issue is the need to consider a distinction between a sample cell (containing a sample already extractedwith or without managed sampling errors) and a sampling cell, which is actively delineating the effective sample volume from which spectral acquisition takes place for a moving material stream (conveyor belt, pipeline, bypass stream, PAT). The sampling cell interface actually determines the very possibility for representative PAT process analysis or not; full treatment of these issues can be found in 3,[5][6][7]12 ; this topic was recently treated in depth at the 10 th World Conference on Sampling and Blending (WCSB10).…”
Section: What's Special About Nir?mentioning
confidence: 99%