An Evaluation of Various Carbonaceous and Synthetic Adsorbents for the Treatment of Sulfolane
Bibliographic record
Abstract
Sulfolane is an industrial solvent used in a variety of applications. Improper handling, storage, and disposal of pure sulfolane solvent and sulfolane-containing wastes have created contaminated sites. The objective of this research was to investigate the adsorption of sulfolane on a wide variety of adsorbents. In some experiments, the solution consisted of either diisopropanolamine or benzene. It was observed that while the adsorption capacity of GACs and Ambersorb 560 were comparable, the adsorption equilibrium was established much faster on GACs than on Ambersorb 560. The major solutes in groundwater influenced sulfolane adsorption. Additionally, diisopropanol and benzene inhibited sulfolane adsorption. Another objective was to develop a method for the analysis of sulfolane in aqueous solution. The method developed herein is highly reproducible and has a detection limit (MDL) of 30 µg/L, and a quantitation limit (MQL) of 70 µg/L.
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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".