Esterification of <scp><i>2</i>‐keto‐L</scp>‐gulonic acid and ethanol by pervapouration using <scp>NaA</scp> zeolite membrane
Bibliographic record
Abstract
Abstract Esterification of 2‐Keto‐gulonic acid is an important process in the production of vitamin C. The traditional esterification reaction process improves the esterification rate with large energy consumption. In this study, the mass transfer model of the pervapouration process was established based on the separation effect of the zeolite membrane. The mass transfer rule was studied, and the reaction‐membrane separation coupling technology was applied to the esterification process of 2‐Keto‐L‐gulonic acid and ethanol. The esterification rate of 2‐Keto‐L‐gulonic acid was increased to 95.37%. At this time, the reaction conditions were as follows: (a) the temperature was 55°C, (b) the alkyd molar ratio was 40.31:1, and (c) and the feed rate was 20.77 mL · min −1 .
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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".