Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2858
Title: Prediction of lignin and extractive content of pinus nigra Arnold. var. Pallasiana tree using near infrared spectroscopy and multivariate calibration
Authors: Üner, Birol
Karaman, İbrahim
Tanrıverdi, H.
Özdemir, Durmuş
Keywords: Extractive
Genetic algorithms
Lignin
Multivariate calibration
Near infrared spectroscopy
Pinus nigra Arnold. Var. pallasiana
Issue Date: 2009
Publisher: Taylor and Francis Ltd.
Source: Üner, 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:10.1080/02773810802607567
Abstract: Determination 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).
URI: http://dx.doi.org/10.1080/02773810802607567
http://hdl.handle.net/11147/2858
ISSN: 0277-3813
0277-3813
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 full item record



CORE Recommender

SCOPUSTM   
Citations

17
checked on Feb 16, 2024

WEB OF SCIENCETM
Citations

15
checked on Feb 26, 2024

Page view(s)

112
checked on Feb 26, 2024

Download(s)

228
checked on Feb 26, 2024

Google ScholarTM

Check




Altmetric


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