Catalytic fast pyrolysis of beetle killed lodgepole pine in a novel ablative reactor
Bibliographic record
Abstract
As carbon dioxide levels in the atmosphere continue to rise, lignocellulosic biomass is further being investigated for their potential as a feedstock for alternative fuels. Beetle killed lodgepole pine (BKLP) is a lignocellulosic biomass that becomes hazardous from structural defects caused by an infection of the mountain pine beetle, prompting its need to be removed from the forest and repurposed. The fast pyrolysis of BKLP generates organic volatiles, and that condense producing a liquid oil (bio-oil). The bio-oil produced is incompatible with the current infrastructure because of its acidic, corrosive, and unstable nature associated to its high oxygen content. The high oxygen content also results in a low higher heating value as compared to gasoline. Here, we explore two different methods to target the production of aromatic hydrocarbons, which are gasoline additives. In the first method, we deposited palladium metal nanoparticles on the BKLP to produce more phenolic compounds that act as precursors to thetarget aromatic hydrocarbons. The second method involved adding a catalytic upgrade reactor downstream of an ablative reactor to upgrade organic volatiles into aromatic hydrocarbons.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".