Antimicrobial Studies of Cannabidiol as Biomaterials against superbug MRSA
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
Due to its limited treatment options, multi-drug resistant bacteria such as Gram-positive methicillin-resistant Staphylococcus aureus (MRSA) still remains a serious public health threat. The creation of new compelling antimicrobial materials, antibiotics and optional methodologies, which are successful against resistant microbes, is earnestly required. The legalization of cannabis in Canada has provided a new opportunity to investigate the antimicrobial studies of both extracts and individual cannabinoids. This study investigates pure cannabidiol (CBD) isolated from Cannabis sativa by using a methodology of extraction, purification, characterization, and quantification of CBD. The shredded plant material was dissolved in ethanol, with the extract further purified using supercritical fluid chromatography (SFC) to obtain purified CBD. Product purity was confirmed by HPLC and NMR spectroscopy. CBD’s antibacterial activity on MRSA strain USA300 bacteria was studied using dilution series in liquid culture and disk diffusion assays to provide the minimum inhibitory concentration (MIC) and minimal bactericidal concentrations (MBC). The results showed that CBD exhibited a significant bactericidal effect on MRSA with the MIC value of 2.5 µg/mL and MBC of 10 µg/mL. CBD powder form gave a higher antimicrobial activity than its oil form in terms of the inhibition zone. This study shows that CBD exhibits good antimicrobial impact against the MRSA strain showing its utility for enabling a new antibiotic free method for treating MRSA infections. Keywords—CBD, antimicrobial activity, MRSA
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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