Functional Properties of Nutmeg
Bibliographic record
Abstract
This study investigated the antioxidative and antimicrobial activities of nutmeg (water, ethanol extract and essential oil). The total phenol contents of water, ethanol extract and essential oil were 3.4%, 16.9%, and 3.2%, respectively. Hydrogen donating abilities of water, ethanol extract and essential oil at 1,000 ppm were 4.9%, 41.8% and 6.8%, respectively. The antioxidative activities in linoleic acid substrates were in the order of BHT > ethanol > extract > -tocopherol > essential oil > water extract. The antioxidative activities in linoleic acid emulsion substrates were in the order of BHT > water extract > essential oil > ethanol extract > -tocopherol. In antimicrobial activity, ethanol extract showed growth inhibition effect against Micrococcus luteus, Bacillus cereus and Salmonella enteritidis, and the essential oil showed growth inhibition effect against Micrococcus luteus. However, no antimicrobial activity of water extract was observed. The nitrite-scavenging abilities of water, ethanol extract and essential oil at 1,000 ppm were 4.5%, 28.8% and 98.8%, respectively, and the ACE inhibitory activities were 0.2%, 11.0% and 10.0%, respectively.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.005 | 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".