Ionic Liquids Create New Opportunities for Nonaqueous Biocatalysis with Polar Substrates: Acylation of Glucose and Ascorbic Acid
Bibliographic record
Abstract
Lipase-catalyzed reactions of polar substrates are inefficient in organic solvents. Nonpolar organic solvents do not dissolve polar substrates, while polar organic solvents inactivate lipases. Ionic liquids such as 1-alkyl-3-methyl imidazolium tetrafluoroborate are as polar as N-methyl formamide or methanol, but, unlike these solvents, ionic liquids do not inactivate lipases. This unusual feature creates opportunities for nonaqueous biocatalysis with polar substrates. First, we describe a simple purification involving filtration through silica gel, which yields ionic liquids that work reliably as solvents in lipase-catalyzed reactions. Next, we report two examples that exploit these unique advantages of ionic liquids. First, lipase-catalyzed acetylation of glucose was up to twelve times more regioselective in ionic liquids than in acetone. Second, lipase catalyzed the acylation of ascorbic acid to make fat-soluble antioxidants. In some cases, reactions in ionic liquids were comparable or slower than in tert-amyl alcohol, but in typical cases, the reactions in ionic liquids were twice as fast and proceeded to higher conversion. Ionic liquids also offer the possibility to use vacuum to remove water formed by the esterification and drive the equilibrium even further toward product.
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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".