Effects of Operating Variables on the Product Distribution and Reaction Pathways in the Oxidative Degradation of CO<sub>2</sub>-Loaded Aqueous MEA−MDEA Blends during CO<sub>2</sub>Absorption from Flue Gas Streams
Bibliographic record
Abstract
The effect of operating conditions on the degradation of MEA−MDEA−H 2 O−CO 2, MEA−MDEA−H 2 O−O 2, and MEA−MDEA−H 2 O−O 2 −CO 2 systems (where MEA is momoethanolamine and MDEA is methyldiethanolamine) was evaluated in a stirred-cell reactor at temperatures of 55−120 °C using overall amine concentrations of 7 and 9 mol/L, a MDEA−MEA ratio and CO 2 loading of 0.1−0.4 and 0−0.502 mol/mol, respectively, and O 2 and/or CO 2 pressures of 250 kPa. The results showed that the extent of degradation and the number of products decreased in the order MEA−MDEA−H 2 O−O 2 > MEA−MDEA−H 2 O−O 2 −CO 2 >MEA−MDEA−H 2 O−CO 2, illustrating the detrimental influence of an increase in the O 2 concentration in the solvent. Also, higher total amine concentrations and CO 2 loadings resulted in fewer products, whereas higher temperatures had the opposite effect. In addition, changes in the MDEA−MEA ratio altered the formation pathways of some products in the MEA−MDEA−H 2 O−O 2 system. Furthermore, even in an O 2 -free environment, O 2 is produced as a byproduct of CO 2 -induced degradation at high temperatures, thereby generating an oxidative degradation environment. It also appears that MDEA degrades preferentially to protect MEA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".