Colloidal Properties of Bio-Oils Obtained by Vacuum Pyrolysis of Softwood Bark. Storage Stability
Bibliographic record
Abstract
Bio-oil obtained via the vacuum pyrolysis of softwood bark residues is a multiphase, viscous, unstable system composed of water-soluble and water-insoluble fractions. Using centrifugation, the bio-oil can be separated into an upper layer (ca. 16 wt %) and a bottom layer (ca. 84 wt %). The upper layer exhibits low contents of water, solid, and ash, as well as a low density, a low acidity, a high content of methanol-insoluble materials, a high viscosity, and a high calorific value. The physicochemical properties of the bottom layer are similar to those of the whole bio-oil, except the bottom layer contains greater contents of ash and water. Microscopic analysis of the bio-oil has revealed a multiphase complex colloidal system that is composed of solid particles, three-dimensional structures, and droplets. The upper layer represents the dispersed droplet phase, which is rich in waxy materials (fatty and resin acids) and water-insoluble compounds. It is the upper layer that, overall, provides the unique colloidal properties to this type of bio-oil. The morphology of the bottom layer is similar to that of the bio-oil matrix. The presence of microstructures in the whole bio-oil has been revealed by differential scanning calorimetry and rheology. The microstructures (e.g., waxy materials) in the bio-oil matrix are, in part, responsible for the bio-oil high viscosity and non-Newtonian behavior that is observed at low temperature (<50 °C). This behavior disappears when the heating temperature reaches the melting point of the three-dimensional structures contained in the bio-oil. The results have confirmed the colloidal nature of the bio-oil investigated.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".