Engineering Magnetic Biochar from Polyphenol-Functionalized Biomass for the Removal of Broad-Spectrum Water Contaminants
Why this work is in the frame
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Bibliographic record
Abstract
Various water contaminants raise concerns about potential negative effects on aquatic ecosystems and human health, which demand breakthrough technologies for the effective removal of a wide range of water contaminants. Recently, nitrogen-doped biochar has shown promise in the removal of various contaminants due to its merits of having a high surface area, versatile surface functionality, and variable surface charge. However, obtaining nitrogen-doped biochar with a high nitrogen content and large surface area simultaneously is challenging. Herein, we developed a nitrogen-rich magnetic and porous biochar (NMPC) via facile pyrolysis of polyphenol and metal ions cofunctionalized collagen. Benefiting from a large surface area (1194.4 m 2 g –1 ) and a high nitrogen content (8.35 wt %), NMPC exhibited high adsorption performance for broad-spectrum water contaminants, including dyes, antibiotics, and heavy metal ions. Besides, NMPC could be magnetically separated for easy recycling with the embedded magnetic iron carbide (Fe 3 C) and still maintained a high removal performance even in a six-cycle test. This work provides new possibilities for the fabrication of nitrogen-rich magnetic biochar which holds great potential in efficient removal of broad-spectrum water contaminants.
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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) | 0.004 | 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 it