Phenol rejection of different NF membranes:influence factors on rejection
Bibliographic record
Abstract
The performance of NF membranes(NF90,NF97,NF99,NF99HF) to remove phenol in phenolics-containing synthetic wastewater(1 g/L) was evaluated using a plate and frame module(Alfa Laval Lab unit M20).NF97 showed superior performance over other membranes,with phenol rejection up to 79% at 3.0 MPa,25 ℃.Influence of cross flow(0.39～0.96 m/s),temperature(20～40 ℃),pressure(0.5～3.0 MPa),phenol concentration(0.01～1 g/L),pH(3～11),salt concentration(1～3 g/L) on the phenol rejection were investigated in this work.Results indicated that cross flow,phenol concentration and salt concentration had little influence on phenol rejection,while phenol rejection decreased with temperature increase,increased with pressure increase,and pH had significant effect on phenol rejection,with phenol rejection of NF90,NF97,NF99 and NF99HF up to 90%,97%,82%,75% respectively.Low concentration phenolics-containing waste water could be concentrated and then extracted by traditional liquid-liquid extraction.Cross flow 0.6 m/s,pressure 3.0 MPa,and ambient temperature could be chosen as reference operation conditions in concentrating 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.
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 | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".