Bilayered Self-Oriented Membrane Fouling and Impact of Magnesium on CaCO<sub>3</sub> Formation during Consecutive Electrodialysis Treatments
Bibliographic record
Abstract
Fouling of membrane is the major scientific lock for electromembrane process intensification limiting their applications. The fouling evolution on ion-exchange membranes was monitored during three consecutive electrodialysis treatments of a solution containing a high magnesium/calcium ratio. Following these experiments, we proposed a mechanism to explain the change in fouling nature on the CEM from a mix of calcite, brucite, and portlandite after the first ED run to a predominant amorphous Mg(OH)(2) after the third run and the formation of calcite cubic crystal on the AEM, although Mg(2+), an inhibitor of CaCO(3) formation, was present in the solution. It was also demonstrated that the nature and structure of the AEM and CEM foulings formed were self-oriented by the formation of the CEM first layer of fouling appearing during the first run. Our findings have implications for electromembrane process fouling control as well as in the understanding of CaCO(3) crystallization phenomena.
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 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) | 0.000 | 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 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".