Gas−Liquid Partition Coefficients and Henry's Law Constants of DMS in Aqueous Solutions of Fe(II) Chelate Complexes Using the Static Headspace Method
Bibliographic record
Abstract
Total reduced sulfurs quartet (H 2 S, CH 3 SH, CH 3 SCH 3 [DMS]), CH 3 S 2 CH 3 [DMDS]) is part of a spiny environmental problem afflicting the pulp mill industry exploiting the Kraft sulfate pulp process. Utilization of the ferric chelate complex of trans -1,2-cyclohexanediaminetetraacetic acid (CDTA) for the oxidative scrubbing of H 2 S and CH 3 SH in the Kraft mill atmospheric effluent streams is beneficial from the standpoints of iron protection against precipitation and oxygen-mediated regenerative oxidation of ferrous chelate CDTA. The remaining DMS and DMDS, considered non-oxidizable in CDTA−Fe(III) aqueous alkaline solutions, undergo physical absorption so their solubility is a crucial parameter for the design of the scrubbing−absorption process. The solubility of DMS in pure water, aqueous iron-free CDTA solutions, and CDTA−Fe(II) complex solutions was measured at atmospheric pressure between (288 and 308) K and for chelate concentrations between (38 and 300) mol·m -3 . As experimental results revealed that DMS destabilized ferrous chelates at very large CDTA−Fe(II) concentrations, a maximum chelate concentration presenting practical interest was established. The static headspace method was used with an estimated uncertainty of ±2 %. It was shown that DMS solubility decreases with increasing temperature for all systems studied. CDTA concentration does not considerably affect DMS solubility; moreover, the concentration effect is negligible at 308 K. The solution pH was uninfluential on DMS solubility over the covered concentration and temperature ranges. CDTA concentration less than 100 mol·m -3 is recommended for use in absorption scrubbing equipments.
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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 | 0.000 | 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 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".