Adsorption capacity of nanocomposite synthesized using biochar sourced from Telfairia occidentalis stem and titanium oxide for the removal of acetaminophen
Bibliographic record
Abstract
Abstract The study aimed to assess the effectiveness of TiO₂/ZnO nanocomposite-modified biochar (TZB) derived from pristine biochar (TBC) precursor materials to sequester acetaminophen (APH) from the aqueous solution using the batch adsorption technique. The uptake of APH by TZB and TBC was examined at solution pH 7, 30 mg adsorbent dose, and a 100-min contact time. The findings suggest a bimolecular interaction between the adsorbates and adsorbents, with pseudo-second-order kinetics. According to isotherm research, Langmuir and Freundlich models, respectively, best fit the data acquired for TZB and TBC. For both TBC and TZB, an increase in the Langmuir monolayer adsorption parameters was observed, suggesting better sorption of acetaminophen with increasing solution temperature. According to thermodynamic studies, both adsorbents spontaneously removed acetaminophen. Acetaminophen elimination by TBC and TZB was an endothermic procedure. This study validates the prospective use of TBC and TZB as potential capacity substitutes for treating pharmaceutical-polluted wastewater.
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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".