Characterization of the Volatile Compounds of the Hardwood Portion of <i>Betula papyrifera</i> Marshall From Quebec, Canada
Bibliographic record
Abstract
Betula papyrifera Marshall (paper birch) hardwood is an abundant yet underutilized resource for Quebec's forestry industry. We investigated the volatile compounds of the hardwood extracted using hydrodistillation (HD) and headspace solid-phase microextraction (HS-SPME) and analyzed them by gas chromatography-mass spectrometry (GC-MS) and GC-flame ionization detection. HD produced an essential oil with a low average yield (0.010% ± 0.001%), from which we identified 51 compounds, dominated by linoleic acid and its oxidation products. HS-SPME provided a complementary profile, with 50 compounds identified, including aromatics and sesquiterpenes absent from the essential oil. The findings suggest that direct valorization of B. papyrifera hardwood for its volatile secondary metabolites is limited due to low yields and the prevalence of common compounds. Nevertheless, the study provides novel insights into the volatile chemical composition of B. papyrifera, contributing to the fundamental understanding of its extractives profile.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".