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Application of near-infrared spectroscopy for the fast detection and sorting of wood–plastic composites and waste wood treated with wood preservatives

Wood science and technology, 2016-03, Vol.50 (2), p.313-331 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2015 ;Wood Science and Technology is a copyright of Springer, (2015). All Rights Reserved. ;ISSN: 0043-7719 ;EISSN: 1432-5225 ;DOI: 10.1007/s00226-015-0785-x

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Title:
Application of near-infrared spectroscopy for the fast detection and sorting of wood–plastic composites and waste wood treated with wood preservatives
Author: Mauruschat, Dirk ; Plinke, Burkhard ; Aderhold, Jochen ; Gunschera, Jan ; Meinlschmidt, Peter ; Salthammer, Tunga
Subjects: active ingredients ; Biomedical and Life Sciences ; cameras ; Ceramics ; Composites ; Ejection ; Glass ; hyperspectral imagery ; Hyperspectral imaging ; I.R. radiation ; industry ; Infrared spectra ; Infrared spectroscopy ; laboratory experimentation ; Life Sciences ; Machines ; Manufacturing ; Mathematical analysis ; Moisture content ; Natural Materials ; Near infrared radiation ; near-infrared spectroscopy ; Nozzles ; Original ; Plastics ; Polymer matrix composites ; Polymers ; Preservation ; preservative treated wood ; Preservatives ; Processes ; Processing industry ; Recycling ; Reflectance ; solvents ; spectrometers ; Spectroscopy ; Spectrum analysis ; Waste treatment ; waste wood ; Water content ; Wood ; Wood chips ; wood plastic composites ; wood preservation ; Wood preservatives ; wood processing ; Wood Science & Technology
Is Part Of: Wood science and technology, 2016-03, Vol.50 (2), p.313-331
Description: The aim of this work was to increase the amount of recycled waste wood in the wood-processing industry. Contaminations such as plastics and wood preservatives therefore have to be identified and removed. A promising technique to detect this foreign matter is near-infrared (NIR) spectroscopy. For several organic and inorganic active compounds for wood preservation, the NIR reflectance spectra acquired with sensors with the capability of on-line measurements were characterized. Some of them were significantly different from those of previously published spectra. Moreover, untreated wood was distinguishable from wood treated with preservatives. Confounding factors, such as the water content, wood species and solvent of the preservative, were examined which had so far massively interfered the NIR detection and classification. Chemometric-based solutions are presented in this work to cope with analytical challenges arisen from the complexity of waste wood samples. This formed the basis for a sorting trial in which treated wood chips were detected in real time with an NIR spectrometer and automatically separated by pneumatic nozzles, showing that the laboratory experiments can be transferred into small industrial scale. Additionally, the experiments showed that wood–plastic composites (WPC) of different plastic types were distinguishable with NIR spectroscopy and can be sorted by ejection based on this information. Unmixed material is a major prerequisite for a high-quality recycling of WPC and has never been demonstrated on a technical scale. Furthermore, three different NIR devices (hyperspectral imaging camera, miniaturized spectrometer and sorting plant) were evaluated regarding their applicability in the waste wood recycling process.
Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
Language: English
Identifier: ISSN: 0043-7719
EISSN: 1432-5225
DOI: 10.1007/s00226-015-0785-x
Source: AUTh Library subscriptions: ProQuest Central

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Application of near-infrared spectroscopy for the fast detection and sorting of wood–plastic composites and waste wood treated with wood preservatives

Springer-Verlag Berlin Heidelberg 2015 ;Wood Science and Technology is a copyright of Springer, (2015). All Rights Reserved. ;ISSN: 0043-7719 ;EISSN: 1432-5225 ;DOI: 10.1007/s00226-015-0785-x

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