Formulation of a broad spectrum nanoemulsion from thymus vulgaris essential oil with enhanced antimicrobial activity against problematic gram negative bacteria and fungi
Bibliographic record
Abstract
Background & Aims: Thymus vulgaris L. belonging to the Lamiaceae family has been widely used for medicinal purposes.T. vulgaris essential oil (EO), which is derived from the aerial parts of the plant, has shown potent antimicrobial activities in previous studies.However, its hydrophobic nature limits its application as a natural antimicrobial agent.Focusing on this problem, the objective of this survey was to develop a nano-sized delivery system of the EO not only to enhance the water solubility but also protect it from degradation. Materials & Methods:In this study, T. vulgaris EO-loaded nanoemulsion was prepared using Tween 80 and Span 60 (surfactants) via high-pressure homogenization and physicochemical characteristics, long-term stability and antimicrobial activity on a broad range of microorganisms were evaluated. Results:The GC-MS of the EO showed that thymol was the primary compound with a 45.6% value.TEM and AFM images showed the spherical shape of nanoparticles with an average droplet size of 175.6 ± 0.96 nm.Interestingly, the final formulation had significantly lower MICs and MBCs in comparison with pure oil.Furthermore, it showed the lowest MIC and MBC values against Ent.faecalis and B. subtilis, respectively.Regarding the antifungal effects of the formulation, it was more effective on C. albicans than A. niger. Conclusion:The obtained data revealed that encapsulation of the EO as nanoemulsion significantly elaborates its antimicrobial properties, which can be considered as an stable and effective antimicrobial formulation for various purposes such as a food preservative.
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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 | 0.000 | 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 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".