Free radical scavenging capacity, antibacterial activity and essential oil composition of turmeric (Curcuma domestica) varieties grown in Ethiopia
Bibliographic record
Abstract
Turmeric is a known spice indispensable for food preparation and is reported to possess different chemical properties and biological activities. The objective of this study was to determine the effects of variety and type of extracts on 1, 1-diphenyl-2-picrylhydrazyl (DPPH) reducing capacity, antibacterial activity, and chemical composition of essential oil from turmeric varieties cultivated in Ethiopia. The results from the statistical analysis revealed that the highest total curcuminoids content (6.81% m/m), essential oil (6.37% v/m), methanol extract (13.42% v/m) were obtained from Dame variety. On the other hand, the lowest curcuminoids (5.12% m/m), methanol extract (10.58% v/m) and essential oil (3.92% v/m) contents were obtained from HT3/2002 variety. Dame variety also had the highest total polyphenol content (97.55 mg GAE/g) and radical scavenging capacity (46.58 16 μg/mL) with the lowest IC 50 value (23.05 μg/mL). Among the tested microorganisms with turmeric extracts, growth inhibition was observed against S. aureus . The results also indicated that three compounds, namely α-Turmerone (32.41 and 35.16%), ar-Turmerone (25.20 and 25.47%), and Curlone (17.98 and 18.19%) dominated 75% of the essential oil component in Dame and Bonga 51/71 varieties, respectively. In summary, the results of this study revealed that extracts from Dame variety have strong biological potential with desired antioxidant and antibacterial activities.
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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 | 0.001 | 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".