Performance of 1,8-Diazabicyclo[5.4.0]undec-7-ene-Modified SBA-15 for Selective Adsorption of CO<sub>2</sub>
Bibliographic record
Abstract
In this work, SBA-15-(DBU- X ) was prepared by dipping 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU) into the mesoporous channels of SBA-15 in an attempt to improve the CO 2 adsorption. The synthesized SBA-15-(DBU- X ) was characterized with scanning electron microscopy, thermogravimetric analysis, Brunauer–Emmett–Teller adsorption analysis, and other methods. Then the CO 2 adsorption/desorption properties were investigated using a self-designed fixed-bed adsorption system. The results indicated that DBU could be loaded on the SBA-15 mesoporous molecular sieves effectively and that SBA-15-(DBU- X ) had good adsorption capacity toward CO 2 . SBA-15-(DBU- X ) had good thermal stability at temperatures below 140 °C. At room temperature, with increasing loading of DBU and total flow rate of simulated flue gas, the adsorption of CO 2 on SBA-15-(DBU- X ) had an increasing trend followed by a decrease. When the volume fraction ratio of CO 2 and H 2 O was 1:1 in the simulated flue gas, SBA-15-(DBU- X ) had an optimum capacity of CO 2 adsorption. In addition, after six adsorption/desorption cycles, the adsorption capacity of CO 2 was stable. Thus, SBA-15-(DBU- X ) could be recycled.
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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 | 0.000 |
| 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".