Differentiation between pine woods according to species and growing location using FTIR-ATR

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Edafoloxía e Química Agrícolagl
dc.contributor.authorTraoré, Mohamed
dc.contributor.authorKaal, Joeri
dc.contributor.authorMartínez Cortizas, Antonio
dc.date.accessioned2021-01-19T13:46:45Z
dc.date.available2021-01-19T13:46:45Z
dc.date.issued2018
dc.description.abstractAttenuated total reflectance-Fourier transform infrared (FTIR-ATR) spectroscopy was applied to 120 samples of heartwood rings from eight individual pine trees from different locations in Spain. Pinus sylvestris cores were collected at the Artikutza natural park (Ps-ART). Pinus nigra cores were collected in Sierra de Cazorla (Pn-LIN) and in La Sagra Mountain (Pn-LSA). Three discriminant analysis tests were performed using all bands (DFT), lignin bands only (DFL) and polysaccharides bands only (DFP), to explore the ability of FTIR-ATR to separate between species and growing location. The DFL model enabled a good separation between pine species, whereas the DFP model enabled differentiation for both species and growing location. The DFT model enabled virtually perfect separation, based on two functions involving twelve FTIR bands. Discrimination between species was related to bands at 860 and 1655 cm−1, which were more intense in P. sylvestris samples, and bands at 1425 and 1635 cm−1, more intense in P. nigra samples. These vibrations were related to differences in lignin structure and polysaccharide linear chains. Discrimination between growing locations was mainly related to polysaccharide absorptions: at 900, 1085 and 1335 cm−1 more representative of Pn-LIN samples, and at 1105 and 1315 cm−1 mostly associated to Pn-LSA samples. These absorptions are related to β-glycosidic linkages (900 cm−1), cellulose and hemicellulose (C–O bonds, 1085 and 1105 cm−1) and content in amorphous/crystalline cellulose (1315 and 1335 cm−1). These results show that FTIR-ATR in combination with multivariate statistics can be a useful tool for species identification and provenancing for pine wood samples of unknown origingl
dc.description.peerreviewedSIgl
dc.identifier.citationTraoré, M., Kaal, J. & Martínez Cortizas, A. Differentiation between pine woods according to species and growing location using FTIR-ATR. Wood Sci Technol 52, 487–504 (2018). https://doi.org/10.1007/s00226-017-0967-9gl
dc.identifier.doi10.1007/s00226-017-0967-9
dc.identifier.essn1432-5225
dc.identifier.issn0043-7719
dc.identifier.urihttp://hdl.handle.net/10347/24238
dc.language.isoenggl
dc.publisherSpringergl
dc.relation.publisherversionhttps://doi.org/10.1007/s00226-017-0967-9gl
dc.rights© The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were madegl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleDifferentiation between pine woods according to species and growing location using FTIR-ATRgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication43132ef3-1555-425b-a2ff-1c6aef4e6d44
relation.isAuthorOfPublication68b338ab-36b2-4fb9-98e9-5cfbf49032aa
relation.isAuthorOfPublication.latestForDiscovery43132ef3-1555-425b-a2ff-1c6aef4e6d44

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