Engineered biochar-iron nanocomposite for efficient peroxymonosulfate activation: Degradation of naphthenic acids, toxicity evaluation, and economic assessment
Bibliographic record
Abstract
This paper explores the use of engineered biochar coupled with zero-valent iron (Fe 0 ) and peroxymonosulfate (PMS) for the degradation of naphthenic acids (NAs) and fluorophore organic compounds (FOCs) in real oil sands process water (OSPW). Immobilizing Fe 0 on biochar, a stable, porous carbon-based material, enhanced catalyst stability and degradation efficiency. Experimental results demonstrated significant removal of FOCs, classical, and oxidized NAs. Notably, 1 g/L of catalyst achieved ∼80 % removal of O 2 -NAs within 120 min, primarily through the generation of sulfate and hydroxyl radicals . To assess the toxicity of treated OSPW, cell-based immunotoxicity assays were conducted by measuring pro-inflammatory cytokine secretion in human and mouse macrophage cells. Treated OSPW exhibited a significant reduction in cytokine secretion, indicating lower immunotoxicity . Additionally, bacterial toxicity tests using Staphylococcus warneri revealed a reduced inhibitory effect on bacterial growth post-treatment. A comprehensive economic assessment benchmarked this method against various advanced oxidation processes (AOPs), demonstrating its cost-effectiveness, particularly when compared to light-based AOPs. These findings highlight Fe 0 -biochar-PMS treatment as a sustainable and efficient approach for mitigating OSPW toxicity, offering a viable solution for improved wastewater management in oil sands operations.
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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".