Renewable Eco-Friendly Activated Biochar from Tobacco: ChlorpyrifosRemoval Studies
Bibliographic record
Abstract
We evaluated the potential application of tobacco as a low-cost raw matter for the development of a new and ecological activated biochar, with the aim of chlorpyrifos adsorption. This was performed by means of characterization and testing the efficiency of the activated biochar based on tobacco from seized cigarettes. Chemically and thermally activated biochar were produced with diferent chemical modifying agents (ZnCl2 and NaOH). The treatments improved the features of adsorbent structure, with an increas of 1775x in SSA of AB-ZnCl2. The adsorption of chlorpyrifos by the activated biochar seems to occur partially by chemical and partially by physical interactions between the pesticide and the surface functional groups O-H, C-H, C=O, C-C, C-H, C-O. The good adjustments may indicate the adsorption of mono and multilayer. The materials show great results for removal of chlorpyrifos with an estimate qm of 683.30 and 1602.40 g g -1 for Langmuir, respectively found for AB and to AB-ZnCl2. This way, the production of activated biochar can be an excellent alternative for the destination and use of tobacco deriving by seized cigarettes, allowing its use in remediation and decontamination of water.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".