<scp>2D</scp>‐<scp>MXene</scp> composite systems for effective photocatalytic degradation of pharmaceutical compounds
Bibliographic record
Abstract
Abstract The escalating incidence of chronic diseases and infections has driven an increase in the use of antibiotics, raising concerns regarding their disposal and presence in water sources. Antibiotic‐resistant genes (ARGs) can arise in bacteria and other microorganisms when antibiotics are present in the water. Human, plant, and animal physiological processes may be negatively impacted by extended exposure to these substances. Since MXenes are effective photocatalysts and adsorption agents, they have garnered a lot of attention in the wastewater treatment industry. While employing MXene alone typically yields inadequate results, it is advantageous to combine MXene with other materials to generate derivatives or composites. This comprehensive review meticulously examines MXene composites with various materials to enhance their photocatalytic prowess, unveiling composite systems capable of achieving an exceptional degradation efficiency of up to 99%, as exemplified by the UiO‐66/MXene composite and g‐C 3 N 4 /Ti 3 C 2 MXene/black phosphorus heterojunction. Additionally, this paper provides critical insights into the intrinsic characteristics, synthesis methodologies, and performance efficiencies for these composites, thereby serving as an invaluable resource for researchers and practitioners in the field.
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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 | 0.001 | 0.001 |
| 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".