Pervaporative extraction of dairy aroma compounds
Bibliographic record
Abstract
Over the past few decades, a considerably large number of flavored compounds in dairy products have been identified. Recently, the recovery of these flavor compounds from dairy products has attracted significant attention. During processing of dairy products, some volatile aroma compounds may be lost due to evaporation or thermal degradation. Traditionally, aroma compounds are concentrated and recovered by solvent extraction, distillation, partial condensation, and gas stripping. Pervaporation, as a relatively new separation process, has attracted attention as an alternative to the conventional flavor recovery technologies. Pervaporation is based on selective solubility and diffusivity of the permeant in the membrane. This chapter reviews the basic principles of pervaporative extraction and enrichment of aroma compounds, and the current status of pervaporation membranes for concentration of dairy aromas. It also discusses the characteristics of pervaporation separation and some potential technical issues related to pervaporative extraction of dairy aromas.
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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) | 0.005 | 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".