A specific case in the classification of woods by FTIR and chemometric: discrimination of Fagales from Malpighiales

Carballo-Meilan, Ara; Goodman, Adrian M.; Baron, Mark; Gonzalez-Rodriguez, Jose

doi:10.1007/s10570-013-0093-2

Cited by 36 publications

(16 citation statements)

References 36 publications

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“…Fitting to this assumption, most of the bands found in our spectra could be assigned to carbohydrates and polysaccharides. Presented spectroscopic data matched the literature well (Chen et al, 2010;Pummer et al, 2013;Dreischmeier et al, 2017); however, intensity ratios varied. IR spectra from birch pollen and TBA extracts (Fig.…”

Section: Discussionsupporting

confidence: 81%

“…Therefore, 100 µL of each extract were applied on a clean glass slide and put in an oven set to 100 • C. After 1 h the dry Table 3. Band assignment of the IR spectra of TBA extracts (leaves, primary wood, and secondary wood) and birch pollen washing water (Miyazawa et al, 1956;Kačuráková et al, 2000;Schulz and Baranska, 2007;Chen et al, 2010;Pummer et al, 2013 C) values (TBA-L 3.5 × 10 7 mg −1 , TBA-L treated 4.1 × 10 7 mg −1 ; TBA-P 2.2×10 8 mg −1 , TBA-P treated 1.5×10 8 mg −1 ; TBA-S 2.4 × 10 8 mg −1 , TBA-S treated 1.8 × 10 8 mg −1 ).…”

Section: Heat Treatmentmentioning

confidence: 99%

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Birch leaves and branches as a source of ice-nucleating macromolecules

et al. 2018

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Abstract. Birch pollen are known to release ice-nucleating macromolecules (INM), but little is known about the production and release of INM from other parts of the tree. We examined the ice nucleation activity of samples from 10 different birch trees (Betula spp.). Samples were taken from nine birch trees in Tyrol, Austria, and from one tree in a small urban park in Vienna, Austria. Filtered aqueous extracts of 30 samples of leaves, primary wood (new branch wood, green in colour, photosynthetically active), and secondary wood (older branch wood, brown in colour, with no photosynthetic activity) were analysed in terms of ice nucleation activity using VODCA (Vienna Optical Droplet Crystallization Analyser), a cryo microscope for emulsion samples. All samples contained ice-nucleating particles in the submicron size range. Concentrations of ice nuclei ranged from 6.7×104 to 6.1×109 mg−1 sample. Mean freezing temperatures varied between −15.6 and −31.3 ∘C; the range of temperatures where washes of birch pollen and dilutions thereof typically freeze. The freezing behaviour of three concentrations of birch pollen washing water (initial wash, 1 : 100, and 1 : 10 000) were significantly associated with more than a quarter of our samples, including some of the samples with highest and lowest activity. This indicates a relationship between the INM of wood, leaves, and pollen. Extracts derived from secondary wood showed the highest concentrations of INM and the highest freezing temperatures. Extracts from the leaves exhibited the highest variation in INM and freezing temperatures. Infrared spectra of the extracts and tested birch samples show qualitative similarity, suggesting the chemical components may be broadly similar.

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Section: Discussionsupporting

confidence: 81%

Section: Heat Treatmentmentioning

confidence: 99%

Birch leaves and branches as a source of ice-nucleating macromolecules

et al. 2018

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“…The main NIRS advantages are: it requires minimum sample preparation and has fast response as diffuse reflectance is used (Pasquini 2003;Burns and Ciurczak 2007). NIRS combined with multivariate analysis is a powerful tool for classifying and quantifying a wide variety of materials such as identification of plant part composition of forest logging and discrimination of Fagales wood samples from Malpighiales (Acquah et al 2016;Carballo-Meilan et al 2014). Several NIRS models have been created and improved to identify wood species.…”

Section: Introductionmentioning

confidence: 99%

Potential field-deployable NIRS identification of seven Dalbergia species listed by CITES

et al. 2018

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Near-infrared spectroscopy (NIRS) is a potential, field-portable wood identification tool. NIRS has been studied as tool to identify some woods but has not been tested for Dalbergia. This study explored the efficacy of hand-held NIRS technology to discriminate, using multivariate analysis, the spectra of some high-value Dalbergia wood species: D. decipularis, D. sissoo, D. stevensonii, D. latifolia, D. retusa, all of which are listed in CITES Appendix II, and D. nigra, which is listed in CITES Appendix I. Identification models developed using partial least squares discriminant analysis (PLS-DA) and soft independent modeling by class analogy (SIMCA) were compared regarding their ability to answer two sets of identification questions. The first is the identification of each Dalbergia species among the group of the six above, and the second is the separation of D. nigra from a single group comprising the other species, grouping all Dalbergia as one class. For this latter study, spectra of D. cearensis and D. tucurensis were added to the broader Dalbergia class. These spectra were not included in the first set because the number of specimens was not enough to create an exclusive class for them. PLS-DA presented efficiency rates of over 90% in both situations, while SIMCA presented 52% efficiency at specieslevel separation and 85% efficiency separating D. nigra from other Dalbergia. It was shown that PLS-DA approaches are far better suited than SIMCA for generating a field-deployable NIRS model for discriminating these Dalbergia.

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“…Therefore, the noncellulosic components had been removed properly. The generally accepted characteristic FTIR bands for cellulose were monitored as follows: 3317 cm -1 for intrachain hydrogen-bond bonds, 1424 cm -1 for CH 2 scissoring vibrations, 1374 cm -1 for C-H skeletal bending of CH 3 , 1317 cm -1 for the CH 2 wagging observed in crystalline cellulose, and 1156 and 895 cm -1 for the C-O-C movement of the β glycoside linkage (Mary and Robert, 1964;Kacurakova et al, 2000;Marechal and Chanzy, 2000;Carballo-Meilan et al, 2014). The wrinkle structure was completely formed of cellulose.…”

Section: Resultsmentioning

confidence: 99%

Wrinkled surface on helical cell wall thickening of vessel elements in flower style

Xing¹,

You²,

Chen³

2019

Turk J Bot

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In the present study, wrinkled surfaces were discovered on the cell wall thickenings of helical vessels in the lilac style for the first time. The structure of the wrinkles was formed by cellulose microfibrils, with convex ridges composed of crystalline cellulose and concave grooves composed of amorphous cellulose. The cellulose microfibrils were oriented with the helical cell wall thickenings. The wrinkle morphology was due to the aligned crystalline region of the microfibrils. The wrinkle structure in the flower style might be related to the faster growth rate of style tissues during helix cell wall thickening development. Discovery of the wrinkled surface could help with the study of the developmental mechanism of helical vessel cells.

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A specific case in the classification of woods by FTIR and chemometric: discrimination of Fagales from Malpighiales

Cited by 36 publications

References 36 publications

Birch leaves and branches as a source of ice-nucleating macromolecules

Birch leaves and branches as a source of ice-nucleating macromolecules

Potential field-deployable NIRS identification of seven Dalbergia species listed by CITES

Wrinkled surface on helical cell wall thickening of vessel elements in flower style

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