Supercritical CO<sub>2</sub>Fractionation of Bio-oil Produced from Mixed Biomass of Wheat and Wood Sawdust
Bibliographic record
Abstract
Interest in the biomass as a source of fuel, chemicals, and materials is growing fast. The bio-oil derived from biomass is attractive due to its renewability and the fact that it is CO 2 balanced and sulfur free. The physical and chemical characteristics of biomass (i.e. wheat−wood sawdust) were estimated using proximate analysis, calorific value, crystallinity, devolatalization behavior, and ultimate analysis. Inductively coupled plasma mass spectroscopy (ICP-MS) of ash, X-ray diffraction (XRD), Fourier transform infrared (FT-IR), and composition of water-soluble sugars of mixed biomass (wheat−wood sawdust) were also carried out. For commercial purposes, the same biomass was used for conversion to bio-oil by fast pyrolysis process. In order to investigate its properties, bio-oil was systematically characterized using different measurements such as proximate analysis and calorific value, whereas the chemical composition of bio-oil was estimated using CHNS, 1 H nuclear magnetic resonance (NMR), gas chromatography flame ionization detection (GC-FID), and GC/MS. The bio-oil obtained was a mixture of hydrocarbons, pyranoids, furanoids, benzenoids, and fatty acids/alcohols along with 45% of water. The high amount of water present in bio-oil forms an azeotrope with organic polar compounds. The organic fraction of the bio-oil was isolated by supercritical carbon dioxide (SC−CO 2 ), and it was observed that the first fraction of SC−CO 2 extraction collected at 25 MPa was enriched with furanoids (9.9%), pyranoids (9.0%), and bezenoids (44.8%). The organic fraction present in the bio-oil was extracted by organic solvents, and the yields and chemical compositions of products were compared with those obtained from SC−CO 2 fractions.
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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".