Effect of exogenous melatonin on the isoflavone content and antioxidant properties of soybean sprouts
Bibliographic record
Abstract
Sprouting can increase the nutritional quality of seeds, such as soybeans. The current study aimed to evaluate the influence of exogenous melatonin (MLT; 100 and 300 μmol/L) on the isoflavone content and antioxidant properties of two soybean cultivars’ germination process (5, 6, and 7 days). MLT treatments significantly increased the sprout length and germination rate by 53% and 12%, respectively, when compared to water-treated soybean sprouts. Further, seven main isoflavones were quantified, with the highest total isoflavone content (5.101 g/kg) found on day 5 when using 100 μmol/L MLT. Additionally, when applying the same concentration, the highest levels of SOD and CAT were found, with values of 10.05 and 15.10 μkat/g, respectively, therefore resulting in a decrease in malondialdehyde (MDA), hydrogen peroxide (H2O2), and nitric oxide (NO) contents. MLT enhanced the expression levels of several genes related to antioxidant properties, seed germination, and root length. Overall, MLT is a suitable inducer for promoting soybean germination and enhancing the isoflavone content and antioxidant properties of soybean sprouts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".