Prediction of dry matter, carbon and ash contents and identification of Calycophyllum spruceanum (Benth) organs by Near-Infrared spectrophotometry
Autor: | CIARNOSCHI, L. D., OLIVEIRA, L. C. de, SIMEONE, M. L. F., PANERO, F. dos S., PANERO, P. dos S., RUIZ RODRIGUEZ, A., ALVES FILHO, E. G., PEREIRA, M. G., SILVA, L. M. da |
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Přispěvatelé: | LUCAS 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. |
Rok vydání: | 2022 |
Předmět: |
Matéria Seca
Produção Espectroscopia no infravermelho próximo Acre Analytical Chemistry Regressão Linear Near-infrared spectroscopy Análisis de regresión Carbono Dry matter accumulation Calycophyllum Spruceanum Productos forestales no madereros Acumulación de materia seca Spectroscopy Espectroscopía del infrarrojo cercano Produto florestal não madeireiro (PFNM) Mulateiro Cinza Wood ash Ceniza de madera Carbon Amazonia Occidental Amazônia Ocidental Western Amazon Nontimber forest products Regression analysis |
Zdroj: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
ISSN: | 0026-265X |
DOI: | 10.1016/j.microc.2022.107621 |
Popis: | Calycophyllum 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. Made available in DSpace on 2022-06-22T04:00:25Z (GMT). No. of bitstreams: 1 27328.pdf: 2041971 bytes, checksum: e7951753116916d19c30a538608898d1 (MD5) Previous issue date: 2022 |
Databáze: | OpenAIRE |
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