Steam activation of camelina meal biochar to remediate PFOA-contaminated wastewater
Bibliographic record
Abstract
This study investigates the steam activation of biochar produced using camelina meal for the removal of perfluorooctanoic acid (PFOA) from industrial effluent. A response surface methodology (RSM) framework with a central composite design (CCD) was utilized to optimize important activation parameters, such as steam flow rate (5–15 mL/h), time (60–120 min), and temperature (600–900 °C). The activation process considerably influenced the surface area of the biochar, with temperature emerging as the most critical factor in the activation process. The experiment performed at optimal conditions of 899 °C, 75 min, and 14 mL/h as determined by the CCD-RSM model attains a surface area of 722 m 2 /g. By conducting characterizations such as FTIR and SEM, it was disclosed that adsorption performance and the porosity of the steam-activated biochar are enhanced by the presence of oxygenated functional groups. Adsorption tests showed that the steam-activated carbon adsorbed PFOA from water, reaching equilibrium in around 5 h. The results discussed emphasize the potential of using a camelina meal activated carbon as an economical, environmentally sustainable substitute for the treatment of PFAS-contaminated water systems.
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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 | 0.001 |
| 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 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".