Effect of Different Techniques on Germination Efficacy and Antioxidant Capacity of Indigenous Legumes of Pakistan
Bibliographic record
Abstract
The present study investigated five different strategies for germination, utilizing distinctive substrata like jute bag, separating funnel, muslin cloth, filter paper and aluminum foil followed by evaluation of percent germination, radicle size, weight gain, total phenols and antioxidant activity of eleven indigenous legumes. The results revealed that jute bag displayed the most elevated percent germination in all legumes (84-96) % with the exception of kabuli chick pea, desi chick pea, garbanzo bean and cow pea which demonstrated improved percent germination when filter paper was utilized as substrata. The longest root length (3.1cm) was seen in cow pea when filter paper was used as substrata. It was additionally observed that jute bag demonstrated the highest increment in total phenolic compounds after germination in soy bean i.e. 6.3 mg gallic acid/gram. Among all germinated legumes, cowpea demonstrated the most elevated amount of total antioxidant activity (98.1%) when either filter paper or separating funnel was utilized. The results revealed that every bean requires optimum sprouting technique/conditions inorder to enhance its antioxidant capacity to maximum extent.
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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".