Discrimination of carotenoid and flavonoid content in petals of pansy cultivars (<i>Viola x wittrockiana</i>) by FT‐Raman spectroscopy

Gamsjaeger, Sonja; Barańska, Małgorzata; Schulz, Hartwig; Heiselmayer, Paul; Musso, Maurizio

doi:10.1002/jrs.2860

Cited by 59 publications

(46 citation statements)

References 66 publications

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“…). Although the bands appear in weak intensities, these peaks were determined as markers for both substances by several authors (Schrader et al, 1999;Vitek et al, 2010;Gamsjaeger et al, 2011). Carotenoids are protective against photostress and oxidation.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Lichens' Metabolic and Degradation Products at Dornava Manor

Ropret

Tavzes

Retko

et al. 2012

International Journal of Heritage in the Digital Era

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ABSTRACT:Five major types of lichen were discovered in the investigated specimens from Dornava Manor. All these lichens and/or their combinations are considered common lichenous overgrowth for the region and its climate. For all of the positively identified lichen species, it is common that they are found on a wide variety of calciferous or base-rich substrata, incl. mortar, brick, roofing tiles, walls, also in large urban areas (are not particularly disturbed by pollution/eutrophication), therefore preferring neutral to basic environment. They are well adapted to sunlight (from scarce direct solar irradiation to sites with very high direct solar irradiation) and can tolerate low water accessibility. In some of the lichens parietin, an orange organic pigment, was found, indicating the sun exposed areas. Additionally, carotenoids and pulvinic acid derivatives were identified, from which the metabolic pathway of lichens can be determined. These products can also represent biomarkers that can be linked to the survival strategies of lichen communities in stressed environmental habitats. For many of the investigated samples the lichens' degradation products like oxalates were identified, mainly calcium oxalate Weddellite, while the ammonium oxalate Oxammite is also possible.

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Section: Resultsmentioning

confidence: 99%

Assessment of Lichens' Metabolic and Degradation Products at Dornava Manor

Ropret

Tavzes

Retko

et al. 2012

International Journal of Heritage in the Digital Era

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“…After extracting the principal components (PCs), a K-means clustering analysis was performed with Euclidian distance measuring (Gamsjaeger et al 2011). As described in the literature (Backhaus et al 2008), cluster analysis is a statistical method to assign data into specific groups.…”

Section: Discussionmentioning

confidence: 99%

“…Then the samples were scanned and photographed. This procedure is mostly described by Gamsjaeger et al (2011).…”

Section: Raman Measurementmentioning

confidence: 99%

“…The spectra were cut off at 120 cm -1 for uniformity in the dataset, then the data were vector-normalized and the baseline-offset was corrected using The Unscrambler 9.7 by Camo Software (Kessler 2007;Gamsjaeger et al 2011). …”

Section: Data Treatmentmentioning

confidence: 99%

“…principal components analysis (PCA) and cluster analysis (K-means clustering), in order to describe the materials composition and structure (Agarwal and Ralph 1997;Musso and Oehme 2008;Gamsjaeger et al 2011).…”

Section: Introductionmentioning

confidence: 99%

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Structural Analysis of Wood-Leather Panels by Raman Spectroscopy

Grünewald¹,

Ostrowski²,

Petutschnigg³

et al. 2012

BioResources

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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.

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