Relationship between near-infrared (NIR) spectra and the geographical provenance of timber

被引:67
|
作者
Sandak, Anna [1 ]
Sandak, Jakub [1 ]
Negri, Martino [1 ]
机构
[1] IVALSA CNR, Trees & Timber Inst, I-38010 San Michele All Adige, TN, Italy
关键词
NORWAY SPRUCE; WOOD; SPECTROSCOPY; CLASSIFICATION; COMPONENTS; JUVENILE; DENSITY; GROWTH; PINE;
D O I
10.1007/s00226-010-0313-y
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Since trees record all the environmental factors in the wood, many wood properties are related to the site characteristics. Despite of this fact, identifying the origin of a timber has always been considered a difficult task, and no effective tools are presently available for this purpose. The goal of this study was to verify whether significant differences among groups of the same wood species due to the provenance can be detected with Fourier transform near-infra-red spectroscopy (FT-NIR). Spruce (Picea abies L. Karst.) samples collected from stands in Finland, Northern and Southern Poland and Italy were analyzed using two different approaches: for the first approach samples were collected from four provenances scattered in a wide area throughout Europe, while for the second approach the samples were collected from provenances located in a narrow area within the same region in Italy. For the first approach, all the specimens were clearly divided into groups by using statistical methods. The separation among groups from the narrow local area was actual; even though less significant than in the previous case. It was concluded that trees growing in various locations have somewhat different chemical composition, and FT-NIR is sensitive enough to detect such differences. The presented method could be used for tracking wood provenances and as a technical tool for detecting logs harvested illegally from protected areas.
引用
收藏
页码:35 / 48
页数:14
相关论文
共 50 条
  • [11] Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water
    Huang, Zixia
    Tao, Wei
    Fang, Juanjuan
    Wei, Xuemei
    Du, Yiping
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2009, 98 (02) : 195 - 200
  • [12] An extension to the discriminant analysis of near-infrared spectra
    So, C. F.
    Choi, Kup-Sze
    Chung, Joanne W. Y.
    Wong, Thomas K. S.
    MEDICAL ENGINEERING & PHYSICS, 2013, 35 (02) : 172 - 177
  • [13] NEAR-INFRARED SPECTRA OF RV TAURI STARS
    MANTEGAZZA, L
    ASTRONOMY & ASTROPHYSICS SUPPLEMENT SERIES, 1991, 88 (02): : 255 - 263
  • [14] Miniature Near-Infrared (NIR) Spectrometer Engine For Handheld Applications
    O'Brien, Nada A.
    Hulse, Charles A.
    Friedrich, Donald M.
    Van Milligen, Fred J.
    von Gunten, Marc K.
    Pfeifer, Frank
    Siesler, Heinz W.
    NEXT-GENERATION SPECTROSCOPIC TECHNOLOGIES V, 2012, 8374
  • [15] Near-infrared spectra of 12 Near-Earth Objects
    Davies, John K.
    Harris, Alan W.
    Rivkin, Andrew S.
    Wolters, Stephen D.
    Green, Simon F.
    McBride, Neil
    Mann, Rita K.
    Kerr, Tom H.
    ICARUS, 2007, 186 (01) : 111 - 125
  • [16] Random Forest as a Non-parametric Algorithm for Near-infrared (NIR) Spectroscopic Discrimination for Geographical Origin of Agricultural Samples
    Lee, Sanguk
    Choi, Hangseok
    Cha, Kyungjoon
    Kim, Mi-Kyeong
    Kim, Jeong-Soo
    Youn, Chi Hee
    Lee, Su-Heon
    Chung, Hoeil
    BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2012, 33 (12) : 4267 - 4270
  • [17] Impact of Freeze-Drying on the Determination of the Geographical Origin of Almonds (Prunus dulcisMill.) by Near-Infrared (NIR) Spectroscopy
    Loesel, Henri
    Shakiba, Navid
    Wenck, Soeren
    Phat Le Tan
    Arndt, Maike
    Seifert, Stephan
    Hackl, Thomas
    Fischer, Markus
    FOOD ANALYTICAL METHODS, 2022, 15 (10) : 2847 - 2857
  • [18] Near-Infrared (NIR) Spectrometry as a Fast and Reliable Tool for Fat and Moisture Analyses in Olives
    Lee, Chiaohwei
    Polari, Juan J.
    Kramer, Kirsten E.
    Wang, Selina C.
    ACS OMEGA, 2018, 3 (11): : 16081 - 16088
  • [19] Study on Temperature Correction of Near-Infrared Spectra of Solution
    Chen Yun
    Shi Zhen-zhi
    Xu Ke-xin
    Chen Wen-liang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (11) : 2966 - 2969
  • [20] Temperature correction of near-infrared spectra of raw milk
    Diaz-Olivares, Jose A.
    Grauwels, Stef
    Fu, Xinyue
    Adriaens, Ines
    Saeys, Wouter
    Bendoula, Ryad
    Roger, Jean-Michel
    Aernouts, Ben
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2024, 255