Antimicrobial Effectiveness on Selected Bacterial Species and Alkaloid and Saponin Content of <i>Rosa nutkana</i> C. Presl (Nootka Rose) and <i>Urtica dioica</i> L. (Stinging Nettle) Extracts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nootka rose (Rosa nutkana C. Presl) and stinging nettle (Urtica dioica L.) have been traditionally used in the treatment of skin infection by Indigenous peoples of Vancouver Island, British Columbia, Canada. The main objective of this study was to examine the antibacterial efficacy of extracts of Nootka rose and stinging nettle against the common pathogenic skin bacteria Staphylococcus aureus, Micrococcus luteus, and Pseudomonas aeruginosa using Indigenous science and standard methods of analysis. The Indigenous science method of plant extraction by steeping as advised by the Traditional Knowledge keeper was performed to examine minimum inhibitory concentration (MIC) values and minimum bactericidal concentrations (MBC) by serial dilution and bacterial population counts. Soxhlet extractions and Kirby Bauer disc sensitivity testing showed that Nootka rose extracts possessed antibacterial effectiveness against all three bacterial species while stinging nettle extracts were effective against M. luteus. Results for MIC and MBC indicated antibacterial activity against M. luteus and S. aureus for the Nootka rose when using full-strength solutions; all three bacterial species exhibited growth when undiluted stinging nettle treatments were used. When considering bacterial population counts for S. aureus, results indicated that only the Nootka rose treatment offered effective inhibition. Chemical analysis showed that alkaloid percentage was greater in the stinging nettle (0.17%) than Nootka rose (0.07%), while saponin percentage was greater in the Nootka rose (0.87%) than stinging nettle (0.17%). Overall, Nootka rose showed a greater level of antibacterial effectiveness than stinging nettle by Indigenous and Western scientific methods of plant extract preparation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it