Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144225
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dc.contributor.authorCIARNOSCHI, L. D.
dc.contributor.authorOLIVEIRA, L. C. de
dc.contributor.authorSIMEONE, M. L. F.
dc.contributor.authorPANERO, F. dos S.
dc.contributor.authorPANERO, P. dos S.
dc.contributor.authorRUIZ RODRIGUEZ, A.
dc.contributor.authorALVES FILHO, E. G.
dc.contributor.authorPEREIRA, M. G.
dc.contributor.authorSILVA, L. M. da
dc.date.accessioned2022-06-22T04:00:25Z-
dc.date.available2022-06-22T04:00:25Z-
dc.date.created2022-06-21
dc.date.issued2022
dc.identifier.citationMicrochemical Journal, v. 180, 107621, Sept. 2022.
dc.identifier.issn0026-265X
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1144225-
dc.descriptionCalycophyllum spruceanum (Benth) is a tree of the Amazon region popularly known as 'mulateiro', whose wood has multiple uses, from energy to folk medicine. Thus, it is extremely important to evaluate desirable characteristics, through quick methods that meet the principles of green chemistry. The objective of this study was to evaluate the potential of the near-infrared (NIR) spectroscopy technique for the prediction of dry matter, carbon and ash contents and identification of parts of C. spruceanum trees. The Partial Least Squares (PLS) regression model applied within the spectral range of 400-2498 nm proved to be adequate to estimate the dry matter, carbon and ash contents in C. spruceanum sapwood and bark samples, with R2 above 0.90 in both calibration and validation. Hierarchical cluster analysis and principal component analysis techniques when applied to the spectra were able to efficiently separate bark from sapwood. The results show that the NIR technique developed can be used in the determination of dry matter, carbon and ash contents in C. spruceanum, in addition to its discriminatory power in the separation of parts of the plant.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectProduto florestal não madeireiro (PFNM)
dc.subjectProductos forestales no madereros
dc.subjectEspectroscopia no infravermelho próximo
dc.subjectEspectroscopía del infrarrojo cercano
dc.subjectAcumulación de materia seca
dc.subjectCeniza de madera
dc.subjectAnálisis de regresión
dc.subjectAcre
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectAmazonia Occidental
dc.titlePrediction of dry matter, carbon and ash contents and identification of Calycophyllum spruceanum (Benth) organs by Near-Infrared spectrophotometry.
dc.typeArtigo de periódico
dc.subject.thesagroMulateiro
dc.subject.thesagroCalycophyllum Spruceanum
dc.subject.thesagroMatéria Seca
dc.subject.thesagroProdução
dc.subject.thesagroCarbono
dc.subject.thesagroCinza
dc.subject.thesagroRegressão Linear
dc.subject.nalthesaurusNontimber forest products
dc.subject.nalthesaurusNear-infrared spectroscopy
dc.subject.nalthesaurusDry matter accumulation
dc.subject.nalthesaurusCarbon
dc.subject.nalthesaurusWood ash
dc.subject.nalthesaurusRegression analysis
riaa.ainfo.id1144225
riaa.ainfo.lastupdate2022-06-21
dc.identifier.doihttps://doi.org/10.1016/j.microc.2022.107621
dc.contributor.institutionLUCAS DALMOLIN CIARNOSCHI, Consultor Júnior I da STCP Engenharia de Projetos, Curitiba, Paraná; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; MARIA LUCIA FERREIRA SIMEONE, CNPMS; FRANCISCO DOS SANTOS PANERO, Professor da Universidade Federal de Roraima; PEDRO DOS SANTOS PANERO, Professor do Instituto Federal de Educação, Ciência e Tecnologia de Roraima, Boa Vista, RR; ANSELMO RUIZ RODRIGUEZ, Professor da Universidade Federal do Acre; ELENILSON G. ALVES FILHO, Professor da Universidade Federal do Ceará; MARCOS GERVASIO PEREIRA, Professor da Universidade Federal Rural do Rio de Janeiro; LUCIELIO MANOEL DA SILVA, CPATC.
Aparece nas coleções:Artigo em periódico indexado (CPAF-AC)

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