Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy

The aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of s...

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Bibliographic Details
Published in:IForest (Viterbo) 2021-02, Vol.14 (1), p.18-25
Main Authors: Teixeira Mancini, L, Guedes Ramalho, FM, Trugilho, PF, Gherardi Hein, PR
Format: Article
Language:English
Subjects:
Cloning
Ethanol
Eucalyptus
Fiber optics
Fourier transforms
Hardwoods
Hybrids
Hydrocarbons
Indigenous species
Infrared spectra
Infrared spectroscopy
Lignin
Lumber
Multivariate Analysis
Near infrared radiation
Non-destructive Testing
Optics
Performance evaluation
Plantations
Principal components analysis
Solvents
Spectral signatures
Spectrum analysis
Test Set Validation
Toluene
VOCs
Volatile organic compounds
Wood
Wood Chemistry
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Summary:The aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of solid wood specimens of Cedrela sp., Jacaranda sp., Apuleia sp., Aspidosperma sp. and clones of Eucalyptus hybrids via an integrating sphere and fiber optics probe. NIR spectral signatures were evaluated by Principal Component Analysis (PCA) and then associated to the total extractive content quantified by extraction in toluene/ethanol (2:1) solutions, pure ethanol and hot water by Partial Least Squares (PLS) regressions. PCA revealed that NIR spectra measured in solid wood by integrating sphere gave a better discrimination of wood species. A global PLS model was developed based on NIR obtained by integrating sphere with satisfactory estimations both for solid wood (R²cv= 0.87, RMSECV= 1.08%) and wood powder (R²cv= 0.85, RMSECV= 1.19%). An independent test-set validation was performed with 25% of the samples and yielded R²p= 0.93 and RMSEP= 0.95% (for solid wood) and R²p= 0.87 and RMSEP= 1.40% (for wood powder). Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens.
ISSN:1971-7458
1971-7458
DOI:10.3832/ifor3472-013