Enhancing oxidation stability of amine-containing CO2 adsorbents using hydroxyethyl starch
Bibliographic record
Abstract
Amine-based adsorbents are widely used for CO2 capture. However, one of the biggest hurdles for their further development is their limited oxidation stability. Moreover, methods developed to improve the oxidation stability often lead to significant decrease in their CO2 uptake. Here, we investigated the effect of hydroxyethyl starch (HES) on the CO2 uptake and oxidation stability of impregnated polyethylenimine (PEI) adsorbents. Performance of HES-PEI co-impregnated materials was evaluated under different oxidation conditions using CO2 uptake measurements, and mass spectrometry. The effect of HES was compared with other hydroxyl-containing additives such as PVA and PEG, as well as to epoxide functionalization of PEI (EB-PEI). The oxidation stability of PEI upon addition of HES was found to be comparable to EB-PEI containing adsorbent; however, its CO2 uptake, based on PEI, was twice as high. In addition, oxidation stability of supported HES-PEI was significantly higher than unmodified PEI as well as PVA-PEI and PEG-PEI co-impregnated adsorbents.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".