Composés bioactifs des Crucifères : un apport bénéfique dans notre quotidien
Bibliographic record
Abstract
Les Crucifères, ou Brassicacées, constituent une famille importante de plantes — moutarde, chou, radis, navet, cresson, roquette, wasabi, colza, etc. — qui sont couramment utilisées en alimentation humaine et animale, mais aussi dans des applications pharmaceutiques, cosmétiques et tinctoriales. Du point de vue phytochimique, cette famille végétale est caractérisée par des produits naturels soufrés appelés glucosinolates (GLs). Lorsque les cellules de ces plantes sont endommagées, les glucosinolates sont dégradés par la myrosinase, une enzyme présente dans des compartiments cellulaires séparés, libérant ainsi de nombreuses molécules. Des isothiocyanates (ITCs) sont majoritairement formés, mais aussi des nitriles, thiocyanates et oxazolidinethiones, selon la structure du glucosinolate (GL) de départ et les conditions physicochimiques de l’hydrolyse. Nous présentons quelques exemples d’utilisation des extraits végétaux de Brassicacées, en évoquant certaines avancées, notamment sur la mise en évidence de bioactivités des ITCs et des glucosinolates.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".