2010
DOI: 10.1016/j.jas.2010.02.005
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Near infrared spectroscopy as a tool for archaeological wood characterization

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Cited by 56 publications
(47 citation statements)
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“…e calibration regions used for preprocessing (Table 3) included the wave numbers between 6098 and 5480 cm −1 , and 7143 and 6579 cm −1 : the former range spans the rst and second overtones of lignin aromatic and aliphatic carbon-hydrogen vibration, while the latter spans the first overtone of lignin hydroxyl vibration (Maranan and Laborie 2008). In addition, the regions included 5980 cm −1 , which is also assigned to lignin (Yamada et al 2006;Yeh et al 2004) as the rst overtone of the aromatic skeletal vibration of lignin (Sandak et al 2010). e values of R 2 and rank indicate that the prediction model for lignin content in RSM was the most accurate, followed, in order, by the models for MFR and SFR.…”
Section: Resultsmentioning
confidence: 99%
“…e calibration regions used for preprocessing (Table 3) included the wave numbers between 6098 and 5480 cm −1 , and 7143 and 6579 cm −1 : the former range spans the rst and second overtones of lignin aromatic and aliphatic carbon-hydrogen vibration, while the latter spans the first overtone of lignin hydroxyl vibration (Maranan and Laborie 2008). In addition, the regions included 5980 cm −1 , which is also assigned to lignin (Yamada et al 2006;Yeh et al 2004) as the rst overtone of the aromatic skeletal vibration of lignin (Sandak et al 2010). e values of R 2 and rank indicate that the prediction model for lignin content in RSM was the most accurate, followed, in order, by the models for MFR and SFR.…”
Section: Resultsmentioning
confidence: 99%
“…This suggests the presence of lignin (Mohebby, 2008;Callum, 2002). The bands at 1439-1428 cm -1 are due to C-H deformations and bending vibrations of CH 2 (methylene) in cellulose and hemicelluloses Morrison and Boy`d;Sandak et al, 2009;Adebajo and Frost, 2004;Sikorki et al, 2004). …”
Section: Resultsmentioning
confidence: 99%
“…It has been reported that infrared spectroscopy can also be successfully applied for this purpose. The ability of NIR to be used for wood species recognition has been stated by several authors [21][22][23][24][25]. Adedipe et al [26] reported an automatic algorithm for discrimination of two oak species (white and red oak) on the basis of NIR spectra.…”
Section: Recognition Of Wood Species and Provenancementioning
confidence: 99%