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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

NEAR INFRARED SPECTROSCOPY FOR ESTIMATING SUGARCANE BAGASSE CONTENT IN MEDIUM DENSITY FIBERBOARD

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Author(s):
Belini, Ugo L. [1] ; Hein, Paulo R. G. [2] ; Tomazello Filho, Mario [1] ; Rodrigues, Jose C. [3] ; Chaix, Gilles [4]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Dept Ciencias Florestais, ESALQ USP, BR-13418900 Sao Paulo - Brazil
[2] CIRAD PERSYST Dept, Res Unit Prod & Proc Trop Woods, F-34398 Montpellier - France
[3] IICT, P-1300344 Lisbon - Portugal
[4] CIRAD UMR AGAP, F-34398 Montpellier - France
Total Affiliations: 4
Document type: Journal article
Source: BIORESOURCES; v. 6, n. 2, p. 1816-1829, 2011.
Web of Science Citations: 5
Abstract

Medium density fiberboard (MDF) is an engineered wood product formed by breaking down selected lignin-cellulosic material residuals into fibers, combining it with wax and a resin binder, and then forming panels by applying high temperature and pressure. Because the raw material in the industrial process is ever-changing, the panel industry requires methods for monitoring the composition of their products. The aim of this study was to estimate the ratio of sugarcane (SC) bagasse to Eucalyptus wood in MDF panels using near infrared (NIR) spectroscopy. Principal component analysis (PCA) and partial least square (PLS) regressions were performed. MDF panels having different bagasse contents were easily distinguished from each other by the PCA of their NIR spectra with clearly different patterns of response. The PLS-R models for SC content of these MDF samples presented a strong coefficient of determination (0.96) between the NIR-predicted and Lab-determined values and a low standard error of prediction (similar to 1.5%) in the cross-validations. A key role of resins (adhesives), cellulose, and lignin for such PLS-R calibrations was shown. PLS-DA model correctly classified ninety-four percent of MDF samples by cross-validations and ninety-eight percent of the panels by independent test set. These NIR-based models can be useful to quickly estimate sugarcane bagasse vs. Eucalyptus wood content ratio in unknown MDF samples and to verify the quality of these engineered wood products in an online process. (AU)