Antioxidant capacity of Lathyrus sativus seeds
Bibliographic record
Abstract
Grass pea seeds of 30 varieties from Poland, Slovakia, Czech, Russia, Ukraine, Hungary, Bulgaria, India, Iran, Tunisia, Ethiopia, Canada, and Chile were investigated. Phenolic compounds were extracted from seeds into 80% (v/v) methanol. The total phenolics compounds content of the extracts was determined using Folin-Ciocalteu’s phenol reagent. The antioxidant activity was determined using ABTS and FRAP assays. Total phenolic contents ranged from 2.74 to 10.7 mg/g extract and from 35.9 to 144.7 mg/100 g seeds. The extracts and seeds were characterized using Trolox equivalent antioxidant capacity values of 0.014–0.060 mmol Trolox/g extract and 0.188–0.866 mmol Trolox/100 g seeds, and FRAP values of 0.188–0.866 mmol Fe2+/g extract and 0.541–1.398 Fe2+/100 g seeds. The total phenolics content of grass pea extract was correlated with the results of the ABTS (r = 0.854) and FRAP (r = 0.958) assays. A similar correlation existed between the results of both assays (r = 0.890). Phenolic acids were the dominant phenolic compounds of two cultivars of grass pea. Syringic and sinapic acids had the highest amounts while ferulic, p-hydroxybenzoic, protocatechuic, and p-coumaric acids were present in much lower quantitie. Phenolic acids were present in the form of free compounds, esters, and glycosides.
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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".