Effect of Drying on the Nutraceutical Quality of Sea Buckthorn ( <i>Hippophae rhamnoides</i> L. ssp. <i>sinensis</i> ) Leaves
Bibliographic record
Abstract
ABSTRACT: The concentrations of total phenolics, carotenoids, and chlorophylls of fresh and dried sea buckthorn leaves were determined. Overall, drying of leaves resulted in a decrease in the concentrations of these phytochemicals. The degree of reduction depended on the drying time, temperature, or specific component type. For the phenolics, a greater reduction in concentration was observed in the leaves dried at higher temperatures (80 °C or 100 °C) for longer times (to equilibrium moisture contents of 1% to 3%) compared with those dried at lower temperatures (50 °C or 60 °C). For the leaves dried to higher final moisture (5% to 8%), all drying temperatures resulted in a similar final phenolic concentration. The carotenoid and chlorophyll concentrations in the leaves decreased with the increasing temperatures. However, higher temperatures such as 80 °C or 100 °C resulted in similar carotenoid and chlorophyll concentrations in the leaves. Nonetheless, dried sea buckthorn leaves were of a high nutraceutical quality comparable to those of frequently consumed vegetables.
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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 | 0.000 |
| 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".