Development Of Technologies For High Value Products From Biomass Pyrolysis
Bibliographic record
Abstract
Phragmites australis (Cav.) Trin. ex. Steud. is an invasive perennial grass found in North America, which is rapidly spreading throughout Ontario, damaging the native ecosystem and endangering the wildlife. This infestation has caused a decrease in biodiversity and nutrient availability to the agricultural crops through competition. One of the most effective management practices is spading them, leaving a huge number of dead stalks that need to be disposed of. Pyrolysis was selected as an alternative thermochemical method to convert this feedstock to value-added bioproducts, such as bio-oil and biochar, and to produce valuable renewable chemicals from the pyrolysis oil, such levoglucosan and acetic acid.\nThis research study objectives are the conversion of Phragmites australis through slow pyrolysis with an existing technology developed in ICFAR in previous years and with a new pyrolysis unit designed and built for the scope of this research, to investigate the impact of different operating conditions on the biochar and bio-oil products. Model compounds made of different ratio of the lignocellulosic components were investigated as well to study differences and similarities.\nFast pyrolysis was carried out in the new bench scale pyrolysis unit to study the effect of different pre-treatments on the removal of the alkali and alkaline earth metals (AAEMs) to improve the levoglucosan yield in the bio-oil product.\nFinally, the performance of the biochar and activated biochar produced from Phragmites australis as sorbent materials was investigated for the removal of ibuprofen, this molecule was chosen as a model compound for the non-steroidal anti-inflammatory drugs (NSAID).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".