Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

2011 - 20202

Settings

COAR Access Rights: search.filters.coarAccessRights.open accessSubject: search.filters.subject.Pinus brutia

Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 20
    Citation - Scopus: 19
    Using the Turkish Red Pine Tree To Monitor Heavy Metal Pollution
    (HARD, 2020) Yalçın, Ertuğrul; Özyiğit, İbrahim İlker; Doğan, İlhan; Demir, Göksel; Yarcı, Celal
    Turkish red pine is an evergreen tree species widely distributed in the Aegean and Mediterranean regions in Turkey. In the present work, the heavy metal pollution level in Istanbul was investigated using Turkish red pine as a biomonitor. For determining heavy metal concentrations (Cd, Co, Cr, Mn, Ni and Pb) in leaf (unwashed and washed) and bark samples of Turkish red pine and its co-located soil samples we used ICP-OES. Additionally, particulate matter profiles of the research areas were investigated. The samples were collected from 5 different localities: 4 from the Bosporus region (Yildiz Grove, Fethi Pasha Grove, Baltalimani Grove and Mihrabad Grove) and one from Prince Island, also known as Buyukada (as control). According to our measurements, the highest heavy metal accumulations (in mg kg(-1) DW) in plant part samples were measured between 1.526 +/- 0.012 and 1.639 +/- 0.015 for Cd, 0.543 +/- 0.007 and 0.600 +/- 0.009 for Co, 5.110 +/- 0.064 and 5.648 +/- 0.072 for Cr, 9.347 +/- 0.105 and 10.331 +/- 0.111 for Mn, 7.483 +/- 0.091 and 8.271 +/- 0.096 for Ni, and 13.848 +/- 0.159 and 14.950 +/- 0.167 for Pb, while the highest heavy metal accumulations (in mg kg(-1) DW) in soil samples were measured between 1.813 +/- 0.021 and 1.974 +/- 0.029 for Cd, 6.326 +/- 0.082 and 6.992 +/- 0.091 for Co, 22.017 +/- 0.284 and 23.685 +/- 0.301 for Cr, 268.333 +/- 3.153 and 297.361 +/- 3.529 for Mn, 15.194 +/- 0.176 and 16.792 +/- 0.193 for Ni, and 68.778 +/- 0.715 and 74.514 +/- 0.883 for Pb. The highest outdoor particulate matter levels (in mu g/m(3)) in research areas were also determined as 27.103 for fine (PM2.5) and 67.792 for coarse (PM10) aerosols. The findings revealed that Turkish red pine could accumulate noteworthy amounts of heavy metals.
  • Article
    Citation - WoS: 24
    Citation - Scopus: 32
    Determination of Lignin and Extractive Content of Turkish Pine ( Pinus Brutia Ten.) Trees Using Near Infrared Spectroscopy and Multivariate Calibration
    (Springer Verlag, 2011) Üner, Birol; Karaman, İbrahim; Tanrıverdi, H.; Özdemir, Durmuş
    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 NIR spectra, some wavelength selection is generally required to improve the predictive ability of multivariate calibration methods. Pinus brutia Ten. is the most growing pine species in Turkey. Its rotation period is around 80 years; the forest products industry has widely accepted the use of Pinus brutia Ten. because of its ability to grow on a wide range of sites and its suitability to produce desirable products. Pinus brutia Ten. is widely used in construction, window door panel, floor covering, etc. Determination of lignin and extractive content of wood provides information to tree breeders on when to cut and how much chemicals are needed for the pulping and bleaching process. In this study, 58 samples of Pinus brutia Ten. trees were collected in Isparta region of Turkey, and their lignin and extractive content were determined with standard reference (TAPPI) methods. Then, the same samples were scanned with near-infrared spectrometer between 1,000 and 2,500 nm in diffuse reflectance mode, and 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) ranged between 0.35% (w/w) and 2.40% (w/w).