Kinetics of the Oxidative Degradation of CO<sub>2</sub>Loaded and Concentrated Aqueous MEA-MDEA Blends during CO<sub>2</sub>Absorption from Flue Gas Streams
Bibliographic record
Abstract
A study of empirical kinetic models of the degradation of MEA and MDEA in MEA-MDEA-H 2 O-O 2, MEA-MDEA-H 2 O-CO 2, and MEA-MDEA-H 2 O-O 2 -CO 2 systems was conducted in a stirred cell reactor at temperatures in the range of 328−393 K, overall amine concentration of 7−9 mol/L, MEA/MDEA ratio ( r ) in the range of 2.5:1−9:1, CO 2 loading (α) in the range of 0.4 and 0.43 mol/mol total amine, and a CO 2 or O 2 pressure of 250 kPa. The results showed that higher total amine concentrations and temperatures resulted in higher rates of degradation, whereas higher CO 2 loadings had the opposite effect. The results, however, showed that the rates of degradation of MEA and MDEA in the MEA-MDEA-H 2 O-CO 2 system were practically zero. On the other hand, both the MEA-MDEA-H 2 O-O 2 and the MEA-MDEA-H 2 O-CO 2 -O 2 systems had rates greater than zero.
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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".