The Role of Methyl Diethanolamine (MDEA) in Preventing the Oxidative Degradation of CO<sub>2</sub>Loaded and Concentrated Aqueous Monoethanolamine (MEA)−MDEA Blends during CO<sub>2</sub>Absorption from Flue Gases
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Bibliographic record
Abstract
The products and pathway for the oxidative degradation of CO 2 -loaded and concentrated aqueous solution of monoethanolamine (MEA)/methyl diethanolamine (MDEA) mixture (i.e., MEA−MDEA−H 2 O−CO 2 system) were evaluated and compared with those for the MEA−H 2 O−CO 2 system in a stirred cell reactor at temperatures in the range of 55−120 °C, overall amine concentration in the range of 5−9 mol/L, MDEA/MEA ratio of 0−0.4, CO 2 loading in the range of 0−0.53 mol/mol of total amine, and O 2 pressure of 250 kPa in order to determine the role of MDEA in preventing MEA degradation. The results showed that fewer degradation products were obtained for the MEA−H 2 O−O 2 system for both the CO 2 -loaded and CO 2 -free cases as compared with the MEA−MDEA−H 2 O−O 2 system. However, the addition of MDEA drastically reduced the extent of MEA degradation as well as the amount of nonenvironmentally benign degradation products. Our overall results indicate that, under our experimental conditions, MDEA is more prone to oxidative degradation and, when used in a mixture with MEA, is preferentially degraded to protect MEA. Our results further show that even in an initially O 2 -free environment, O 2 is produced as a byproduct of CO 2 -induced degradation, thereby eventually generating an oxidative degradation environment for the two systems.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it