scholarly journals Rapid Prediction of the Chemical Information of Wood Powder from Softwood Species Using Near-Infrared Spectroscopy

BioResources ◽  
2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Se-Yeong Park ◽  
Jong-Chan Kim ◽  
Seungheon Yeon ◽  
Sang-Yun Yang ◽  
Hwanmyeong Yeo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Chemical Information ◽  
Wood Powder ◽  
Rapid Prediction ◽  
Softwood Species

Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy

2007 ◽  
Vol 53 (5) ◽  
pp. 449-453 ◽  
Author(s):  
Ze-Hui Jiang ◽  
Zhong Yang ◽  
Chi-Leung So ◽  
Chung-Yun Hse
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Prediction

scholarly journals Investigation of NIR spectroscopy for identifying and sorting wood with respect to species, moisture content, and weathering

2021 ◽  
Author(s):  
Ekaterina Tounis
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Multivariate Calibration ◽  
Surface Preparation ◽  
Nir Spectroscopy ◽  
Species Group ◽  
Chemical Information ◽  
Calibration Techniques

Near-infrared spectroscopy can characterize wood surfaces fast and without significant surface preparation. It is based on molecular overtone and combination vibrations which are typically very broad, leading to complex spectra. Multivariate calibration techniques are often employed to extract the desired chemical information. This study focused on the potential of near-infrared spectroscopy combined with partial least squares for identifying and sorting wood with respect to species and physical properties and on the effects of wood preparation and weathering on the precision of analysis. It was shown that a range of moisture content values and artificial weathering periods could be well predicted indepenedently of wood species analyzed. Species within the spruce-pine-fir species group could be predicted reasonably well when tested under similar conditions. When different moisture contents and weathering exposure periods were introduced, species prediction was still possible, but, with decreased prediciton ability.

scholarly journals Rapid Prediction of Moisture Content in Intact Green Coffee Beans Using Near Infrared Spectroscopy

Foods ◽  
2017 ◽  
Vol 6 (5) ◽  
pp. 38 ◽  
Author(s):  
Adnan Adnan ◽  
Dieter von Hörsten ◽  
Elke Pawelzik ◽  
and Daniel Mörlein
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Green Coffee ◽  
Green Coffee Beans ◽  
Coffee Beans ◽  
Rapid Prediction

Rapid Prediction of Camelina Seed Oil Content Using Near-Infrared Spectroscopy

2017 ◽  
Vol 31 (5) ◽  
pp. 5629-5634 ◽  
Author(s):  
Ke Zhang ◽  
Zhenglin Tan ◽  
Chengci Chen ◽  
Xiuzhi Susan Sun ◽  
Donghai Wang
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Oil Content ◽  
Near Infrared ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Rapid Prediction ◽  
Camelina Seed
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