Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2858
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÜner, Birol-
dc.contributor.authorKaraman, İbrahim-
dc.contributor.authorTanrıverdi, H.-
dc.contributor.authorÖzdemir, Durmuş-
dc.date.accessioned2017-01-25T12:30:52Z
dc.date.available2017-01-25T12:30:52Z
dc.date.issued2009
dc.identifier.citationÜner, B., Karaman, İ., Tanrıverdi, H. and Özdemir D. (2009). Prediction of lignin and extractive content of pinus nigra Arnold. var. Pallasiana tree using near infrared spectroscopy and multivariate calibration. Journal of Wood Chemistry and Technology, 29(1), 24-42. doi:10.1080/02773810802607567en_US
dc.identifier.issn0277-3813
dc.identifier.issn0277-3813-
dc.identifier.urihttp://dx.doi.org/10.1080/02773810802607567
dc.identifier.urihttp://hdl.handle.net/11147/2858
dc.description.abstractDetermination of quality parameters such as lignin and extractive content of wood samples by wet chemistry analyses takes a long time. Near infrared (NIR) spectroscopy coupled with multivariate calibration offers a fast and nondestructive alternative to obtain reliable results. However, due to the complexity of the spectra obtained from NIR, some wavelength selection is generally required to improve the predictive ability of multivariate calibration methods. Pinus nigra Arnold. Var. pallasiana is the second most growing pine species in Turkey. Even though its rotation period is very high, around 120 years, the forest products industry has widely accepted the use of Pinus nigra because of its ability to grow on a wide range of sites and its suitability to produce desirable products. In this study, 51 samples of Pinus nigra trees were collected and their lignin and extractive content were determined with standard reference (TAPPI) methods. Then, the same samples were scanned with near infrared spectrometer between 1000 and 2500 nm in diffuse reflectance mode. Multivariate calibration models were built with genetic inverse least squares method for both lignin and extractive content using the concentration information obtained from wet standard reference method. Overall, standard error of calibration (SEC) and standard error of prediction (SEP) were ranged between 0.35% (w/w) and 2.4% (w/w).en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofJournal of Wood Chemistry and Technologyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectExtractiveen_US
dc.subjectGenetic algorithmsen_US
dc.subjectLigninen_US
dc.subjectMultivariate calibrationen_US
dc.subjectNear infrared spectroscopyen_US
dc.subjectPinus nigra Arnold. Var. pallasianaen_US
dc.titlePrediction of lignin and extractive content of pinus nigra Arnold. var. Pallasiana tree using near infrared spectroscopy and multivariate calibrationen_US
dc.typeArticleen_US
dc.authoridTR115516en_US
dc.institutionauthorKaraman, İbrahim-
dc.institutionauthorÖzdemir, Durmuş-
dc.departmentİzmir Institute of Technology. Chemistryen_US
dc.identifier.volume29en_US
dc.identifier.issue1en_US
dc.identifier.startpage24en_US
dc.identifier.endpage42en_US
dc.identifier.wosWOS:000262645400003en_US
dc.identifier.scopus2-s2.0-58949084763en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1080/02773810802607567-
dc.relation.doi10.1080/02773810802607567en_US
dc.coverage.doi10.1080/02773810802607567en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept04.01. Department of Chemistry-
Appears in Collections:Chemistry / Kimya
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
2858.pdfMakale2.14 MBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

17
checked on Mar 22, 2024

WEB OF SCIENCETM
Citations

15
checked on Mar 27, 2024

Page view(s)

118
checked on Mar 25, 2024

Download(s)

240
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.