Effect of physicochemical activation on CO2 adsorption of activated porous carbon derived from pine sawdust
Bibliographic record
Abstract
The study reports on cost-effective and novel method for synthesis of activated porous carbon (APC) suitable for post-combustion CO2 capture. Inexpensive and abundant pine sawdust was utilized as a precursor. A hybrid synthesis protocol of physicochemical activation utilizing KOH + CO2 as activating agents was proposed. Effectiveness of APC derived via physicochemical activation was compared with that derived via chemical (only KOH) and physical (only CO2) activation. Also, the effect of carbonization condition on APC performance was investigated. Yield of APC (from precursor to final product) ranged within 20-24 wt.%. The maximum BET surface area of 2216 m2/g and the maximum CO2 adsorption capacity of 6.35 mmol/g at 0 °C/1 bar, 3.82 mmol/g at 25 °C/1 bar and 2.81 mmol/g at 40 °C/1 bar was obtained. Following the ideal adsorbed solution theory, CO2/N2 selectivity was computed at 0 °C, 25 °C and 40 °C and found to be within 10-19. For all the APCs, the isosteric heat of adsorption < 40 kJ/mol indicated physisorption as dominating mechanism for CO2 adsorption. Even after five consecutive adsorption-desorption cycles, multi-cyclic recyclability > 99.5% was observed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".