STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY
Besides other ligno-cellulosic materials such as straw, rice husks, or bagasse, wet blue particles from leather production are a promising new raw material stock for wood-based panels, as they offer not only a high availability, but increase the properties of the panel with regard to fire resistance...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
North Carolina State University
2012-02-01
|
| Series: | BioResources |
| Subjects: | |
| Online Access: | http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1431_Grunewald_OPMW_Structur_Anal_Wood_Leather_Panels_Raman/1423 |
| _version_ | 1828888306783354880 |
|---|---|
| author | Tilman Grünewald, Sven Ostrowski, Alexander Petutschnigg, Maurizio Musso, Stefanie Wieland |
| author_facet | Tilman Grünewald, Sven Ostrowski, Alexander Petutschnigg, Maurizio Musso, Stefanie Wieland |
| author_sort | Tilman Grünewald, |
| collection | DOAJ |
| description | Besides other ligno-cellulosic materials such as straw, rice husks, or bagasse, wet blue particles from leather production are a promising new raw material stock for wood-based panels, as they offer not only a high availability, but increase the properties of the panel with regard to fire resistance or mechanical characteristics. A panel with a mixture of 42.5% wood fibers, 42.5% wet blue leather particles, and 15% lignin adhesive was produced, and an inhomogeneous sample was prepared. An area of 9 x 10 mm was rasterized and scanned by means of Raman Spectroscopy. Furthermore, the reference spectra of the constituents, i.e. wood fiber, wet blue leather particle, and lignin powder were recorded. The obtained data were treated and analyzed using chemometric methods (principal components analysis PCA and cluster analysis). An important finding was that the reference data were not directly represented in the panels’ spectra, and the correlation matrix of the PCA was not applicable to the panel data. This indicated that chemical changes might take place during the pressing. After processing the panel Raman spectra with the help of PCA and cluster analysis, three distinctive clusters were obtained, discriminating wood, leather, and mixed regions. With the assigned spectral information, it was possible to create a spectral image of the surface. |
| first_indexed | 2024-12-13T12:20:23Z |
| format | Article |
| id | doaj.art-14cc79ca892144cab093e6ad0315fbc6 |
| institution | Directory Open Access Journal |
| issn | 1930-2126 |
| language | English |
| last_indexed | 2024-12-13T12:20:23Z |
| publishDate | 2012-02-01 |
| publisher | North Carolina State University |
| record_format | Article |
| series | BioResources |
| spelling | doaj.art-14cc79ca892144cab093e6ad0315fbc62022-12-21T23:46:35ZengNorth Carolina State UniversityBioResources1930-21262012-02-017214311439STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPYTilman Grünewald,Sven Ostrowski,Alexander Petutschnigg,Maurizio Musso,Stefanie WielandBesides other ligno-cellulosic materials such as straw, rice husks, or bagasse, wet blue particles from leather production are a promising new raw material stock for wood-based panels, as they offer not only a high availability, but increase the properties of the panel with regard to fire resistance or mechanical characteristics. A panel with a mixture of 42.5% wood fibers, 42.5% wet blue leather particles, and 15% lignin adhesive was produced, and an inhomogeneous sample was prepared. An area of 9 x 10 mm was rasterized and scanned by means of Raman Spectroscopy. Furthermore, the reference spectra of the constituents, i.e. wood fiber, wet blue leather particle, and lignin powder were recorded. The obtained data were treated and analyzed using chemometric methods (principal components analysis PCA and cluster analysis). An important finding was that the reference data were not directly represented in the panels’ spectra, and the correlation matrix of the PCA was not applicable to the panel data. This indicated that chemical changes might take place during the pressing. After processing the panel Raman spectra with the help of PCA and cluster analysis, three distinctive clusters were obtained, discriminating wood, leather, and mixed regions. With the assigned spectral information, it was possible to create a spectral image of the surface.http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1431_Grunewald_OPMW_Structur_Anal_Wood_Leather_Panels_Raman/1423Wet Blue leatherFiber boardRaman spectroscopyHeterogeneityDistributionModeling |
| spellingShingle | Tilman Grünewald, Sven Ostrowski, Alexander Petutschnigg, Maurizio Musso, Stefanie Wieland STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY BioResources Wet Blue leather Fiber board Raman spectroscopy Heterogeneity Distribution Modeling |
| title | STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY |
| title_full | STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY |
| title_fullStr | STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY |
| title_full_unstemmed | STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY |
| title_short | STRUCTURAL ANALYSIS OF WOOD-LEATHER PANELS BY RAMAN SPECTROSCOPY |
| title_sort | structural analysis of wood leather panels by raman spectroscopy |
| topic | Wet Blue leather Fiber board Raman spectroscopy Heterogeneity Distribution Modeling |
| url | http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1431_Grunewald_OPMW_Structur_Anal_Wood_Leather_Panels_Raman/1423 |
| work_keys_str_mv | AT tilmangrunewald structuralanalysisofwoodleatherpanelsbyramanspectroscopy AT svenostrowski structuralanalysisofwoodleatherpanelsbyramanspectroscopy AT alexanderpetutschnigg structuralanalysisofwoodleatherpanelsbyramanspectroscopy AT mauriziomusso structuralanalysisofwoodleatherpanelsbyramanspectroscopy AT stefaniewieland structuralanalysisofwoodleatherpanelsbyramanspectroscopy |