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首页> 外文期刊>Holz als Roh- und Werkstoff >Volatile compounds fingerprinting of larch tree samples for Siberian and European larch distinction
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Volatile compounds fingerprinting of larch tree samples for Siberian and European larch distinction

机译：落叶松树样品的挥发性化合物指纹图谱，用于区分西伯利亚和欧洲落叶松

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摘要

An optimized method of headspace solid-phase microextraction coupled with gas chromatography with flame ionization detector (HS/SPME-GC/FID) was used to discriminate between larch wood originated from Central Europe and larch wood from Siberia. Variability in the composition of volatile organic compounds (VOC) between both larches were found, as well as in intensities of volatiles in chromatograms. These differences are influenced by many factors like genetic, environmental and spatial factors. Therefore, the optimized method was used to measure VOC fingerprints of 82 samples of European and Siberian larches. The VOC fingerprints have been characterized by calculation of retention indices for each compound. The statistical evaluation of the retention indices obtained from VOC fingerprints was performed using multivariate regression with a reduction in dimensionality-orthogonal projections to latent structure (OPLS). Such approach was able to discriminate the correct origin of all 82 larch wood samples. Hence, analysis of VOC fingerprints using HS/SPME-GC/FID in combination with OPLS presents a useful tool for discrimination between wood of European larch and Siberian larch. By extending this method to other species and factors of influence, it might be of great interest for wood certification and forestry industry.
机译：采用顶空固相微萃取与火焰离子化检测器气相色谱（HS / SPME-GC / FID）的优化方法，对中欧产的落叶松木材和西伯利亚产的落叶松木材进行了区分。发现两个幼虫之间挥发性有机化合物（VOC）的组成以及色谱图中的挥发性强度均存在差异。这些差异受遗传，环境和空间因素等许多因素影响。因此，该优化方法用于测量欧洲和西伯利亚的82个样品的VOC指纹。通过计算每种化合物的保留指数来表征VOC指纹。使用多元回归方法对从VOC指纹获得的保留指数进行统计评估，同时减少对潜在结构（OPLS）的维数正交投影。这种方法能够区分所有82个落叶松木材样品的正确来源。因此，结合使用HS / SPME-GC / FID和OPLS对VOC指纹进行分析，提供了一种区分欧洲落叶松和西伯利亚落叶松木材的有用工具。通过将此方法扩展到其他物种和影响因素，对于木材认证和林业行业可能会引起极大的兴趣。

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