Otolith‐derived nanocomposite for the removal of tetrazine from water: thermodynamic, kinetic, and isotherm studies
Bibliographic record
Abstract
Abstract The performance of the multi‐walled carbon nanotubes (MWCNTs)–calcined otoliths (OLT) composite (MTO) in removing tetrazine (Tatz) from aqueous solution was evaluated and compared with that of calcined otoliths (OLT) alone. To find the ideal sorption conditions for Tatz removal, the effects of key variables, including pH, contact time, adsorbent amount, initial Tatz concentration, and adsorbate temperature, were investigated through batch adsorption trials. The uptake of Tatz by OLT and MTO was dependent on the aforementioned factors of adsorption. The pseudo‐second‐order model provided the best fit for the kinetic data of OLT and MTO, reflecting a chemisorptive mechanism involving two molecular interactions between Tatz and the active binding sites. The Langmuir and the Freundlich models best described the equilibrium data obtained for both OLT and MTO, respectively. Therefore, MTO exhibited a higher removal efficiency for Tatz, with an adsorption capacity of 58.75 mg g −1 , compared to 19.53 mg g −1 for OLT. Therefore, using MTO as a possible sorbent for wastewater and effluent treatment is doable and ought to be investigated further to reduce water pollution.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".