Rosemary and Sage Outperformed Six other Culinary Herbs in Antioxidant and Antibacterial PropertiesRosemary and Sage Outperformed Six other Culinary Herbs in Antioxidant and Antibacterial Properties
Bibliographic record
Abstract
The antioxidant and antibacterial properties of Labiatae culinary herbs are well documented but the effects of different drying methods are poorly studied. In this study, the antioxidant and antibacterial properties of fresh and oven-dried herbs of oregano, marjoram, rosemary, sage, basil, thyme, peppermint and spearmint were compared with available commercial herbs. Antioxidant properties of total phenolic content, total flavonoid content, caffeoylquinic acid content, free radical scavenging activity, ferric reducing power and ferrous ion chelating ability were assessed using the Folin-Ciocalteu, aluminium chloride, molybdate, DPPH radical scavenging, potassium ferricyanide and ferrozine assays, respectively. Antibacterial properties were assessed using the disc diffusion assay based on mean diameter of inhibitory zone and minimum inhibitory dose. The two drying treatments were oven drying at 50 o C (OD) and microwave pre-treatment followed by oven drying at 50 o C (MOD). Fresh rosemary and dried oregano had the strongest antioxidant properties. For most herbs, oven drying resulted in loss of  antioxidant values compared to fresh herbs with the exception of oregano. Values of OD and MOD oregano, spearmint, thyme, peppermint and basil were higher than commercial samples, while those of rosemary were lower. Of the six commercial herbs, rosemary had the highest values, followed by oregano, spearmint, thyme, peppermint and basil. Rosemary, sage, peppermint and spearmint inhibited the growth of all three Gram-positive bacteria of Bacillus cereus , Micrococcus luteus and Staphylococcus aureus . Rosemary and sage had stronger antibacterial properties than green and black teas of Camellia sinensis . When used in combination, rosemary and sage can have enhanced antioxidant and antibacterial effects, which are desirable in developing nutraceutical products, and in controlling rancidity and bacterial growth in food.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".