Degradation of antibiotics by homogeneous and heterogeneous Fenton processes: A review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• Uncontrollably global antibiotic consumption • Antibiotics get flushed into the environment, • Risks of antibiotic on ecosystems and human health • Key parameters on the efficiency of antibiotic removal • heterogeneous catalysts and synthetic iron-based catalysts • homogeneous and heterogeneous Fenton processes Global antibiotic consumption has been rising uncontrollably. Antibiotics ultimately get flushed into the environment, where they can pose risks to ecosystems and human health. Conventional wastewater treatment processes are not effective at removing these antibiotics. However, the application of Fenton processes in water treatment has attracted attention due to their fast reaction speeds and effective performances. Here we review recent research related into Fenton processes for antibiotic degradation, including homogeneous and heterogeneous Fenton, photo-Fenton and electro-Fenton reactions. We look at the impact of several key parameters such as target antibiotic, hydrogen peroxide, ferrous ion concentrations, pH and temperature on the efficiency of antibiotic degradation. We also provide an in-depth analysis of commonly used catalysts, such as natural heterogeneous catalysts and synthetic iron-based catalysts, and go on to propose typical mechanisms for antibiotic degradation by homogeneous and heterogeneous Fenton processes based on products identified in the literature.
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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) | 0.000 | 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 it