Development of a Modified Intimate Wash From Yoniprakshalan Kwatha (YOSHA) With Comparative Antimicrobial and Quality Assessment: Protocol for an Experimental Study
Notice bibliographique
Résumé
Background: Vaginal itching is a frequent gynecological issue impacting women of various age groups. Although commonly linked to nonserious conditions, it may also signal infections, sexually transmitted diseases, prolonged use of certain medications, such as oral contraceptives, hormonal fluctuations, or suboptimal hygiene. Standard pharmaceutical treatments, despite being widely used, often produce undesirable effects, such as irritation of the vaginal lining, alterations in vaginal pH, and disruption of healthy microbial flora. These challenges highlight the need for safer, natural alternatives rooted in traditional systems of medicine, such as Ayurveda. Objective: This study aims to prepare yoniprakshalan kwatha (intimate wash decoction) as per the classical reference of Yogratnakar and to develop its modified dosage form, YOSHA. Additionally, this study aims to assess the quality control parameters of both yoniprakshalan kwatha and YOSHA to ensure their safety and efficacy. Furthermore, the antimicrobial effects of both formulations will be investigated, and a comparative analysis will be conducted to evaluate and contrast the antimicrobial activity of YOSHA and yoniprakshalan kwatha. Methods: Medicinal herbs were sourced from the institute's rasashala and authenticated by taxonomists. The traditional decoction and YOSHA will be prepared using Ayurvedic and modern pharmaceutical methods. Quality tests will include physicochemical and microbial analyses. The disc diffusion method will be used to evaluate antimicrobial activity against Candida albicans, Escherichia coli, and Staphylococcus aureus. Standard antibiotics and sterile discs will serve as controls. Tests will be repeated over 3 days. Statistical analysis will be performed using one-way ANOVA in SPSS (version 17), with P<.05 considered significant. Results: This study commenced in July 2025, with data collection scheduled from August 2025 to September 2025. By December 2025, it is expected that laboratory testing and antimicrobial assessments will have been completed, along with the finalization of quality control evaluations. Preliminary findings are anticipated to show that YOSHA will exhibit strong antimicrobial activity, comparable to or exceeding that of the original yoniprakshalan kwatha. Significant inhibition zones are likely to be observed against C albicans and E coli. The modified formulation is projected to meet pharmaceutical standards for consistency, safety, and shelf stability. Data analysis will be completed, and the full results are expected to be published in December 2025. Conclusions: The study will show that YOSHA, a modern herbal product based on the traditional Ayurvedic yoniprakshalan kwatha, has strong in vitro antimicrobial effects against common vaginal pathogens and meets pharmaceutical quality and safety standards. Unlike raw decoctions, it offers a stable, user-friendly formulation that blends traditional knowledge with scientific validation. Strengths include classical preparation methods, solid quality control, and reliable results. Future work should involve clinical trials, broader testing, and user-focused evaluations. Findings will be disseminated through journals, conferences, and practitioner outreach to promote YOSHA as a natural option for women's hygiene.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».