A study of a complex of bioactive compounds in the fruits of promising blue honeysuckle (<i>Lonicera caerulea</i>l.) cultivars
Bibliographic record
Abstract
Background. Blue honeysuckle (Lonicera caerulea L.) is a valuable source of bioactive compounds (BAC) of polyphenolic nature and rare for horticultural berries iridoids, which have antioxidant, anti-inflammatory, antimicrobial and other properties and are widely used in the food, medical and cosmetic industries.Materials and methods. The berries of 20 released honeysuckle cultivars of Russian, Canadian and U.S. origin, reproduced at the I.V. Michurin Federal Science Center in Tambov Province, were studied for the content of the main BAC groups using modern methods (spectrophotometry, HPLC-UV, HPLC-RID, and HPLC-DAD-MS).Results and discussion. The main BAC groups (the content and profile of anthocyanins, proanthocyanidins, flavonols and flavones, hydroxycinnamic acids (HCA), iridoids, and organic acids) as well as mono- and disaccharides were studied in detail. A comparative study of the biological value of domestic and foreign honeysuckle cultivars was carried out.Conclusions. The study resulted in identifying the most promising cultivars of honeysuckle according to the content of the main BAC groups.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".