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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 granulomet...
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Published in: | Floresta e ambiente 2019, Vol.26 (spe1) |
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description | 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. |
doi_str_mv | 10.1590/2179-8087.039718 |
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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.</description><subject>forest biomass</subject><subject>NIR</subject><subject>PLANT SCIENCES</subject><subject>proximate chemical analysis</subject><subject>wood pyrolysis</subject><issn>1415-0980</issn><issn>2179-8087</issn><issn>2179-8087</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNo9kVFLwzAUhYMoOHTvPvYPdN40TZo8yphaGDqsPoc0TTSjNiPpHvTXm9qxpwvn8h3OPRehOwwrTAXcF7gSOQderYCICvMLtDhLl2iBS0xzEByu0TJG1wKFimBGYYGaerD90QzaZN5mOxVGp3sTs8b9JmXIXuq3rDkYPQYftT84nW3i6L7V6PwQJ2T9pYL2qs92wR9Mwk28RVdW9dEsT_MGfTxu3tfP-fb1qV4_bHNNBIy5bjGlJQZrFSkL1oHl3HYlbw2roOQlIxpbo4EVnHXKilaLgtGWsi6tKqrJDapn386rvTyEFCv8SK-c_Bd8-JSneyQULMGtEBXpSoMx59C1IBhpBZSqgOS1mr2idqb3cu-PYUjhZTMVKaciC8ACUnUAGJMEwAzo1EwMxp4DYJDTU-QZlPNTyB9qnHr8</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Ramalho, Fernanda Maria Guedes</creator><creator>Simetti, Rodrigo</creator><creator>Arriel, Taiana Guimarães</creator><creator>Loureiro, Breno Assis</creator><creator>Hein, Paulo Ricardo Gherardi</creator><general>Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro</general><general>Universidade Federal Rural do Rio de Janeiro</general><scope>AAYXX</scope><scope>CITATION</scope><scope>GPN</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3801-1878</orcidid><orcidid>https://orcid.org/0000-0002-2080-4765</orcidid><orcidid>https://orcid.org/0000-0002-9152-6803</orcidid><orcidid>https://orcid.org/0000-0001-5701-4479</orcidid><orcidid>https://orcid.org/0000-0002-8423-049X</orcidid></search><sort><creationdate>2019</creationdate><title>Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties</title><author>Ramalho, Fernanda Maria Guedes ; Simetti, Rodrigo ; Arriel, Taiana Guimarães ; Loureiro, Breno Assis ; Hein, Paulo Ricardo Gherardi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-cb155410ffa3426d0f88fd48be67048463c1fec06286daf9bc9265b56d46375c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>forest biomass</topic><topic>NIR</topic><topic>PLANT SCIENCES</topic><topic>proximate chemical analysis</topic><topic>wood pyrolysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramalho, Fernanda Maria Guedes</creatorcontrib><creatorcontrib>Simetti, Rodrigo</creatorcontrib><creatorcontrib>Arriel, Taiana Guimarães</creatorcontrib><creatorcontrib>Loureiro, Breno Assis</creatorcontrib><creatorcontrib>Hein, Paulo Ricardo Gherardi</creatorcontrib><collection>CrossRef</collection><collection>SciELO</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Floresta e ambiente</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramalho, Fernanda Maria Guedes</au><au>Simetti, Rodrigo</au><au>Arriel, Taiana Guimarães</au><au>Loureiro, Breno Assis</au><au>Hein, Paulo Ricardo Gherardi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties</atitle><jtitle>Floresta e ambiente</jtitle><addtitle>Floresta Ambient</addtitle><date>2019</date><risdate>2019</risdate><volume>26</volume><issue>spe1</issue><issn>1415-0980</issn><issn>2179-8087</issn><eissn>2179-8087</eissn><abstract>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. 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subjects | forest biomass NIR PLANT SCIENCES proximate chemical analysis wood pyrolysis |
title | Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties |
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