Removal of glyphosate from aqueous solution by <scp>CuO</scp> coated <scp>MIL</scp>‐101(<scp>Fe</scp>)
Bibliographic record
Abstract
Abstract The composite of CuO coated MIL‐101(Fe) (CuO@MIL‐101(Fe)) was successfully prepared using a one‐pot hydrothermal technology. X‐ray diffraction (XRD), Fourier transform infrared spectrum (FTIR), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), Brunauer–Emmett–Teller (BET), and TG technologies were used to characterize its structural, morphological, and physicochemical properties. CuO@MIL‐101(Fe) exhibited a better pH adaptivity, a faster removal ratio of 95.8% for glyphosate within 10 min at pH 7, and a higher selectivity of adsorption capacity, even reaching 231.6 and 233.5 mg g−1 with coexisting Cl− (10 mmol L−1) and SO42− (10 mmol L−1). The enhanced adsorption performances of CuO@MIL‐101(Fe) may be caused by Cu forming a coordination interaction with glyphosate. A possible mechanism of glyphosate removal was discussed on the basis of the FTIR and X‐ray photoelectron spectroscopy (XPS) analysis. CuO@MIL‐101(Fe) composite would be more favourable to capture glyphosate from wastewater.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".