Chemical analysis of raw, dry‐roasted, and honey‐roasted licorice by capillary electrophoresis
Bibliographic record
Abstract
In herbal medicine, licorice is usually processed using a roasting procedure which might modify the chemical compositions in licorice. To test this hypothesis, licorice root samples were roasted under various conditions (with or without honey) and subsequently extracted by refluxing with 95% ethanol. The analysis of chemical compositions of licorice root extracts was achieved by capillary electrophoresis. The running buffer has been optimized to be 50 mM sodium tetraborate (pH 9.01) containing 5 mM beta-cyclodextrin. Thermal decomposition of glycyrrhizin, which was a major ingredient in licorice, was first studied in detail, indicating the conversion of glycyrrhizin to glycyrrhetinic acid. The licorice extracts were then analyzed to indicate the above thermal conversion did occur in the licorice samples. This finding may shed some light on understanding the differences in the therapeutic values of raw versus roasted licorice in herbal medicine.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".