ArticleApplications in plant sciences2017
Source identification of western Oregon Douglas-fir wood cores using mass spectrometry and random forest classification.
Article in Applications in plant sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 49 citations in OpenAlex.
- Ethical collectomics: A guide to the responsible and fair mobilization of natural history collections.Bioscience · 2026Article
- Article
- "Touch&Play" Wood Typification by the MasSpec Pen.Journal of mass spectrometry : JMS · 2025Article
- Cuticular hydrocarbons for identifying Sarcophagidae (Diptera).Scientific reports · 2021Article
- Fraud and misrepresentation in retail forest products exceeds U.S. forensic wood science capacity.PloS one · 2019Article
- Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA.BMC genomics · 2018Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
premise of the studyWe investigated whether wood metabolite profiles from direct analysis in real time (time-of-flight) mass spectrometry (DART-TOFMS) could be used to determine the geographic origin of Douglas-fir wood cores originating from two regions in western Oregon, USA.
methodsThree annual ring mass spectra were obtained from 188 adult Douglas-fir trees, and these were analyzed using random forest models to determine whether samples could be classified to geographic origin, growth year, or growth year and geographic origin. Specific wood molecules that contributed to geographic discrimination were identified.
resultsDouglas-fir mass spectra could be differentiated into two geographic classes with an accuracy between 70% and 76%. Classification models could not accurately classify sample mass spectra based on growth year. Thirty-two molecules were identified as key for classifying western Oregon Douglas-fir wood cores to geographic origin. DISCUSSION: DART-TOFMS is capable of detecting minute but regionally informative differences in wood molecules over a small geographic scale, and these differences made it possible to predict the geographic origin of Douglas-fir wood with moderate accuracy. Studies involving DART-TOFMS, alone and in combination with other technologies, will be relevant for identifying the geographic origin of illegally harvested wood.
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