Determination of Heat-Treated Eucalyptus and Pinus Wood Properties Using Nir Spectroscopy

Ajv, Zanuncio; Hein, Paulo Ricardo Gherardi; Ag, Carvalho; Mfv, Rocha; Aco, Carneiro

doi:10.26525/jtfs2018.30.1.117125

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…These compounds can be removed with solvents used to quantify extractives (Zanuncio et al, 2015;Mecca et al, 2019;Esteves et al, 2022), resulting in an increase in extractives content from 6.59% to 8.25%. Finally, lignins have a high carbon content and strong bonds between their monomers, which makes them highly resistant to thermal degradation (Zanuncio et al, 2018;Börcsök;Pásztory, 2021). Thus, heat treatment increased the total lignin content from 26.21 to 35.78%.…”

Section: Physical and Chemical Characterization Of The Materialsmentioning

confidence: 99%

FTIR spectroscopy and technological characterization of heat treated Fraxinus excelsior wood

Carneiro,

Carvalho,

Freitas

et al. 2023

CERNE

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Background:The wood heat treatment results in the partial degradation of its chemical constituents, mainly cellulose and hemicellulose, reducing the hygroscopicity of the material. This process improves the dimensional stability and resistance to biodeterioration and worsens the mechanical resistance. This work aimed to evaluate the effect of heat treatment on the physical, anatomical, chemical, and mechanical properties of Fraxinus excelsior wood. In untreated and heat-treated wood, the pH, buffering capacity, basic density, equilibrium moisture content, shrinkage, wood anatomy, thermogravimetric behavior, and chemistry by conventional and FTIR methods were determined.Results: Heat treated wood had lower pH (5.50), equilibrium moisture content (6.26%), shrinkage (7,29%), holocellulose contents (55,96%) and higher buffering capacity (0,479 mmol/L), extractives (8,25%), and lignin contents (35,78%). Heat treatment reduced the pH and increased the buffering capacity of the wood, reduced the holocellulose content, and increased the lignin content, leaving the wood less hygroscopic and reducing its volumetric and linear variation. The process did not change the basic density and fiber length, but it reduced their width, lumen diameter, and wall thickness. The FTIR analysis confirmed the degradation of holocellulose and division of aliphatic side chains in lignin. The maximum dredging range of untreated and heat-treated wood occurred at 350 ºC, and the heat-treated wood had a higher residual mass when subjected to 500 ºC. Conclusion:Heat-treated wood can be indicated for products used in external environments, such as floors, fences, coatings, door and window structures.

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Section: Physical and Chemical Characterization Of The Materialsmentioning

confidence: 99%

FTIR spectroscopy and technological characterization of heat treated Fraxinus excelsior wood

Carneiro,

Carvalho,

Freitas

et al. 2023

CERNE

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“…It has been shown that Vis-NIR spectroscopy can be used in wood science for the prediction of wood’s physical, chemical, anatomical, and mechanical properties such as moisture content, microfibril angle, bending strength, etc. [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Lifting Wavelet Transform De-noising for Model Optimization of Vis-NIR Spectroscopy to Predict Wood Tracheid Length in Trees

Via

Cheng

et al. 2018

Sensors

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The data analysis of visible-near infrared (Vis-NIR) spectroscopy is critical for precise information extraction and prediction of fiber morphology. The objectives of this study were to discuss the de-noising of Vis-NIR spectra, taken from wood, to improve the prediction accuracy of tracheid length in Dahurian larch wood. Methods based on lifting wavelet transform (LWT) and local correlation maximization (LCM) algorithms were developed for optimal de-noising parameters and partial least squares (PLS) was employed as the prediction method. The results showed that: (1) The values of tracheid length in the study were generally high and had a great positive linear correlation with annual rings (R = 0.881), (2) the optimal de-noising parameters for larch wood based Vis-NIR spectra were Daubechies-2 (db2) mother wavelet with 4 decomposition levels while using a global fixed hard threshold based on LWT, and (3) the Vis-NIR model based on the optimal LWT de-noising parameters (Rc2 = 0.834, RMSEC = 0.262, RPDc = 2.454) outperformed those based on the LWT coupled with LCM algorithm (LWT-LCM) (Rc2 = 0.816, RMSEC = 0.276, RPDc = 2.331) and raw spectra (Rc2 = 0.822, RMSEC = 0.271, RPDc = 2.370). Thus, the selection of appropriate LWT de-noising parameters could aid in extracting a useful signal for better prediction accuracy of tracheid length.

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Modeling mass loss of biomass byNIR‐spectrometryduring the torrefaction process

et al. 2020

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Summary When biomass is thermally treated, the enrichment of carbon in the remaining “green coal” is correlated with the temperature and duration. Other properties related to the energetic properties of the torrefied biomass are closely related to chemical modifications and correlated to the material mass loss occurring during the thermal degradation. The possibility of using near infrared spectrometry has been investigated to predict the mass loss of Pinus sylvestris wood torrefied at temperatures ranging from 220°C to 300°C with durations varying from 1 minute to 10 hours. A first mass loss prediction model (NIR‐260) associated with the mean torrefaction temperature of 260°C was developed, and appeared suitable only for this temperature due to specific chemical reactions rate. A second model (NIRS‐All), using all available data was constructed and showed an accurate mass loss prediction, for both low (220°C) and high temperatures (300°C). The main differences between NIRS‐260 and NIRS‐All models are mainly attributed to the thermal modification of hemicelluloses and cellulose fractions occurred during the wood torrefaction. The results showed near infrared spectrometry combined with multivariate calibration modeling have potential utility in an industrial context as a standardized continuous method to figure out the mass loss of biomass during torrefaction by a rapid characterization. Novelty Statement The novelty concerns the use of the Near Infrared Spectrometry (NIRS) combined with multivariate calibration modeling as a standardized method for determining the mass loss biomass during torrefaction by a rapid and nondestructive characterization. A model was constructed and showed an accurate mass loss prediction, for both low (220°C) and high temperatures (300°C). Near infrared spectrometry have potential utility in an industrial context as a standardized continuous method.

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Determination of Heat-Treated Eucalyptus and Pinus Wood Properties Using Nir Spectroscopy

Cited by 8 publications

References 16 publications

FTIR spectroscopy and technological characterization of heat treated Fraxinus excelsior wood

FTIR spectroscopy and technological characterization of heat treated Fraxinus excelsior wood

Lifting Wavelet Transform De-noising for Model Optimization of Vis-NIR Spectroscopy to Predict Wood Tracheid Length in Trees

Modeling mass loss of biomass byNIR‐spectrometryduring the torrefaction process

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