Development of Thermosensitive Hydrogel Mouthwash Loaded with Zingiber zerumbet Extract for Enhanced Oral Thrush Treatment
Bibliographic record
Abstract
Oral thrush, caused by Candida albicans, is currently treated under guidelines by using topical antifungal pharmaceutical formulations such as lozenges and liquid gargles. Using these drugs may cause irritation and adverse reactions. Moreover, there is a short exposure time to reach the lesion, which may result in low effectiveness of the treatment. Therefore, the research group aimed to develop mouthwash solutions that can form gel at oral temperature containing Zingiber zerumbet rhizome extracts, which work as an active substance inhibiting fungi. The development process began with the extraction of substances from Zingiber zerumbet rhizome using hexane and the analysis of the active substance by HPLC. Antifungal and anti-inflammatory activities of the extracts were evaluated. Hydrogel mouthwash was prepared by varying the type and concentration of polymer, solvent, and mucoadhesive agent. The optimized formulation was then evaluated for its properties. Zingiber zerumbet rhizome extracts, containing 16.29±0.39 % zerumbone, demonstrated both antifungal and anti-inflammatory activities against Candida albicans . The extract also had anti-inflammatory activity when tested by the proteinase inhibitory test, with a percentage inhibition of 86.15±10.96 %. Two thermosensitive hydrogels, poloxamer P407 and P188, were applied and compared as gel-forming agents. It was found that the optimized formulation is composed of 15 % (w/w) poloxamer P407, 0.05 % (w/w) carbopol as a mucoadhesive agent, and 5 % (v/v) ethanol. Transition time and transition temperature of the optimized thermosensitive hydrogel formula were 27.76±1.25 s and 36±1.00 °C, respectively. The viscosity at shear rate 1 S -1 and 25 °C of the optimized formulation was 0.13±0.06 Pa.s, which is suitable for pouring out of the bottle and gargling. This study demonstrates a novel approach to developing thermosensitive hydrogel mouthwash formulations, leveraging Zingiber zerumbet rhizome extracts for enhanced therapeutic efficacy against oral candidiasis. These formulations offer prolonged contact time with affected areas, potentially improving treatment outcome.
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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) | 0.001 | 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".