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Author (up) Navarro, H.; Marco, L.M.; Araneda, A.A.; Bennun, L. doi  openurl
  Title Spatial distribution of Si in Pinus Insigne (Pinus radiata) Wood using micro XRF by Synchrotron Radiation Type
  Year 2019 Publication Journal Of Wood Chemistry And Technology Abbreviated Journal J. Wood Chem. Technol.  
  Volume 39 Issue 3 Pages 187-198  
  Keywords Dendrochemical study; Pinus insigne; silicon content; synchrotron radiation; mu XRF  
  Abstract Silicon, while not an essential element, is known to have positive roles in certain vegetable species. For instance, it has been recognized to protect them from biotic and abiotic stress. Due to the fact that certain species accumulate the aforementioned element in their tissues, the determination of its concentration is of importance in different disciplines, such as dendrology, plant physiology, forest management, agroecology, and also in the wood industry. Usually, its quantification is preceded by a series of digestion steps that, aside from been time-consuming, and contamination-prone, prevents from conducting a spatial distribution of the element on the sample. In this research, samples of Pinus radiata wood were studied using a synchrotron radiation source that allowed direct scanning of its surface without any treatment, and the determination of silicon as a function of the position and the tree rings, using micro X-ray fluorescence (mu XRF). A quantification method based in the fundamental parameters approach was evaluated. It was found that silicon concentration increases near the latewood ring zones, showing a periodical behavior, related to seasonal environmental events.  
  Address [Navarro, Henry] Univ Nacl Cuyo, Inst Balseiro, San Carlos De Bariloche, Rio Negro, Argentina, Email:  
  Corporate Author Thesis  
  Publisher Taylor & Francis Inc Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0277-3813 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000467859800004 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 1000  
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