Enhancing Surface Properties of Softwood Biochar by Ultrasound Assisted Slow Pyrolysis
Bibliographic record
Abstract
In recent decades, biochar, by virtue of its exceptional properties of surface functionalisation, easy availability and low-cost processability, has been extensively applied in adsorption chemistry and major industrial sectors such as biofuels, pulp and paper, biorefineries, etc. Studies on biochar derived from softwood have revealed its efficient physicochemical properties. These properties depend on different parameters such as biomass feedstock, different processing methods and pyrolysis conditions. Application of ultrasound in lignocellulosic materials is a developing area of research, which implement the effect of cavitation bubbles. Herein, we introduce ultrasonication as a tool to enhance the physical properties of the softwood-derived biochar and a feasible processing technique for potential application of biomass feedstock, thus expanding its application in industrial level. Biochar used in this work was synthesized using a laboratory scale slow pyrolysis. A detailed investigation on the ultrasonic pre-treatment effects on the overall structure of biochar has been done. The mechanical and sono-chemical effects were studied with different combination of frequency and power at bath temperature of 80 °C for 2-hours exposure time.
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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) | 0.001 | 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 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".