Polymeric ionic liquid absorbents for <scp><i>n</i>‐butanol</scp> recovery from aqueous solution
Bibliographic record
Abstract
Abstract A wide‐ranging study of imidazolium‐based polymeric ionic liquids (PILs) as absorbents in two‐phase partitioning bioreactor applications is presented, with a particular focus on the removal of n‐butanol from dilute aqueous solutions. The study begins with a description of the synthesis and phase transition temperatures of poly(1‐vinyl‐3‐alkylimidazolium) bromides bearing alkyl groups of different lengths, architecture, and composition, as well as analogs bearing various inorganic and carboxylate anions. Knowledge of polymer structure is used to generate insight into the solute affinity of each PIL, as quantified by the measurements of n‐butanol partition coefficient (PCBuOH) and n‐butanol/water selectivity (αb/w). These equilibrium experiments are extended to create a complete P[(VC12−linIm)(Br)]/n‐BuOH/water ternary phase diagram that is used to propose a streamlined n‐butanol recovery process.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".