Estimation of the basic density of Eucalyptus grandis wood chips at different moisture levels using benchtop and handheld NIR instruments

Targino De Medeiros Dayane, Gomes Jhennyfer Nayara Nogueira, Gomes Batista Felipe, Mascarenhas Adriano Reis Prazeres, Mesquita Pimenta Emanuella, Chaix Gilles, Gherardi Hein Paulo Ricardo. 2024. Estimation of the basic density of Eucalyptus grandis wood chips at different moisture levels using benchtop and handheld NIR instruments. Industrial Crops and Products, 209:117921, 10 p.

Résumé : With the increasing demand for productivity and quality in the forestry sector, near-infrared (NIR) spectroscopy is promising in the monitoring of wood properties, such as density. However, most predictive models are based on spectra acquired in wood at equilibrium moisture content using benchtop equipment. The objective of this study was to evaluate the performance of the NIR instruments in predicting the basic density of Eucalyptus grandis wood at different moisture contents. The wood chips were evaluated from saturated conditions (freshly felled) to hygroscopic equilibrium conditions using benchtop and portable NIR instruments. Principal component analysis (PCA) was performed to verify the behavior of spectral data, partial least squares discriminant analysis (PLS-DA) to classify density categories, and partial least squares regression (PLS-R) to develop predictive models. The moisture gradient was not the limiting factor for the statistical modeling. PCA discriminated 99.50% of the variation in the data, while the PLS-DA correctly categorized in the range of 0–94% the density classes. The models developed by PLS-R with the benchtop instrument showed a prediction coefficient (R²) ranging from 0.79 to 0.85 and those with the portable instrument ranged from 0.77 to 0.82; the ratios of prediction deviation (RPD) were 2.20 and 2.45, respectively. Thus, NIR spectroscopy has shown potential application in wood under saturated conditions, regardless of the type of instrument. In the industrial context, the use of a portable NIR instrument could streamline wood characterization without the need for drying and transporting samples to the laboratories.

Mots-clés Agrovoc : technologie du bois, propriété du bois, densité du bois, particule de bois, Eucalyptus grandis, humidité du bois, teneur en eau, propriété physicochimique, spectroscopie infrarouge

Mots-clés géographiques Agrovoc : Brésil

Mots-clés libres : Fiber saturation point, Pulp and paper industry, Multivariate statistics, Quality control, Real-time evaluation

Classification Agris : K50 - Technologie des produits forestiers

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Agences de financement hors UE : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Auteurs et affiliations

• Targino De Medeiros Dayane, CIRAD-BIOS-UMR AGAP (FRA) - auteur correspondant
• Gomes Jhennyfer Nayara Nogueira, UFLA (BRA)
• Gomes Batista Felipe, UFLA (BRA)
• Mascarenhas Adriano Reis Prazeres, UNIR (BRA)
• Mesquita Pimenta Emanuella, LD celulose (BRA)
• Chaix Gilles, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0003-2015-0551
• Gherardi Hein Paulo Ricardo, UFLA (BRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608057/)

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