Integrated UV–H<sub>2</sub>O<sub>2</sub> and biological treatment processes for the removal of cationic surfactant
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
Surfactants are widely used for industrial and domestic purposes although these chemicals are potentially harmful to the environment. This research work reports the degradation of cetyltrimethylammonium bromide (Ctab), a representative cationic surfactant present in waste waters, using an integrated ultraviolet (UV)–hydrogen peroxide (H 2 O 2 ) and biological treatment process. The toxicity of raw Ctab and partially (50%) UV–hydrogen peroxide-treated Ctab samples were analysed using zebra fish as the model organism. The LC 50 values of raw and 50% degraded Ctab samples at 24 h exposure were found to be 4.89 and 2.13 mg/l, respectively, and these indicated that partially degraded Ctab samples were less toxic. The biodegradability index of the degraded samples was found to increase along with the amount of UV–hydrogen peroxide treatment. The treatability of degraded Ctab solution was studied in an aerobic sequential batch reactor (bioreactor) for different sludge ages. The biokinetic parameters (k S , k, Y and K d ) for the partially degraded sample were evaluated using a modified Monod equation. The study indicated that the partially advanced-oxidation-process-degraded Ctab samples can be effectively removed by a biological process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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