Bioactives in spices, and spice oleoresins: Phytochemicals and their beneficial effects in food preservation and health promotion
Why this work is in the frame
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Bibliographic record
Abstract
Spices have broadly been used as food flavoring and folk medicine since ancient times. Numerous phytochemicals have been identified in spices, namely thymol (ajowan and thyme), anethole (aniseed), piperine (black pepper), capsaicin (capsicum), cinnamaldehyde (cinnamon), eugenol (clove), linalool (coriander), sabinene (curry leaf), limonene (dill seed), estragole (fennel seed), allicin (garlic), gingerol (ginger), safranal (saffron), and curcumin (turmeric), among others. The antioxidants in spices are very effective and also render anti-mutagenic, cardioprotective, anti-inflammatory, and anti-cancer properties. Apart from their antioxidant efficacy, spices, particularly their essential oils possess strong antimicrobial activity against bacteria, fungi, yeasts, and microbial toxins synthesis. In this contribution, a summary of the most relevant and recent findings on phytochemical composition and antioxidant properties of spices has been compiled and discussed. The content of phenolic acids, flavonoids, tannins, glycosides, steroids, and terpenoids in different spices are summarized. In addition, the beneficial effects of spices in food preservation and in health promotion and disease risk reduction are briefly described.
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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 | 0.001 |
| 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 it