Prediction of dry matter, carbon and ash contents and identification of Calycophyllum spruceanum (Benth) organs by Near-Infrared spectrophotometry.

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.

Bibliographic Details

Main Authors:	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
Other Authors:	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.
Format:	Artigo de periódico biblioteca
Language:	Ingles English
Published:	2022-06-21
Subjects:	Produto florestal não madeireiro (PFNM), Productos forestales no madereros, Espectroscopia no infravermelho próximo, Espectroscopía del infrarrojo cercano, Acumulación de materia seca, Ceniza de madera, Análisis de regresión, Acre, Amazônia Ocidental, Western Amazon, Amazonia Occidental, Mulateiro, Calycophyllum Spruceanum, Matéria Seca, Produção, Carbono, Cinza, Regressão Linear, Nontimber forest products, Near-infrared spectroscopy, Dry matter accumulation, Carbon, Wood ash, Regression analysis,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144225 https://doi.org/10.1016/j.microc.2022.107621
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