Solubility of Oxygen in Aqueous Solutions of Fe(III) Complexes of <i>trans</i>-1,2-Cyclohexanediaminetetraacetic Acid (CDTA) as a Function of Temperature and Chelate Concentration
Bibliographic record
Abstract
The utilization of ferric chelates for the oxidation of the total reduced sulfurs quartet (H 2 S, CH 3 SH, CH 3 SCH 3, CH 3 S 2 CH 3 ) is one of the various approaches to mitigate the emission of these airborne pollutants from Kraft pulp-mills' effluents. Oxygen solubility in iron chelate solutions is one important parameter in designing and modeling the regeneration process from ferrous to ferric chelates. Because of the interfering oxidation occurring in Fe(II) chelate solutions, the solubility of oxygen in aqueous solutions in which the gas does not react (Fe(III) complexes of trans -1,2-cyclohexanediaminetetraacetic acid (CDTA)) was studied at pressures near atmospheric pressure and temperatures from (293 to 313) K. New experimental solubility results over a chelate concentration ranging from (38 to 124) mol·m -3 and pH values of 3 and 7.5 are reported. From the Henry's law constants and their variation with temperature, the standard thermodynamic solution properties of oxygen in these solutions were obtained.
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 | 0.001 |
| 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) | 0.001 | 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".