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Record W4413246438 · doi:10.31436/jop.v5i2.371

Formulation and evaluation of topical gels containing Phyllanthus muellerianus leaf extract using various gelling agents

2025· article· en· W4413246438 on OpenAlexaff
Osei-Asibey Antwi, Mariam El Boakye-Gyasi, Yaw Duah Boakye, Raphael Johnson, Frederick William Akuffo Owusu, Eugene Agyei Aboagye, Lawrence Michael Obeng, Kofi Mensa Acheampong Asamoa, Winifred Naa Adoley

Bibliographic record

VenueJournal of Pharmacy · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPhytochemistry and Bioactivity Studies
Canadian institutionsGovernment of Manitoba
FundersKwame Nkrumah University of Science and Technology
KeywordsChemistryPhytochemicalTraditional medicineChromatographyPhyllanthusGlycosideToxicityAcute toxicityExtraction (chemistry)Food scienceOrganic chemistryMedicineBiochemistry

Abstract

fetched live from OpenAlex

Introduction: The high expense of current pharmaceuticals used to treat wounds, as well as some of their adverse effects, has spurred the quest for alternatives, particularly those derived from natural sources that have minimum side effects, less microbial susceptibility and are less expensive. Phyllanthus muellerianus leaf extract incorporated in creams and ointments greatly decreased wound closure time and increased epithelialization at the wound site. This study aims to formulate and evaluate a gel made from P. muellerianus. Methods: Leaves of P. muellerianus were extracted using water. Phytochemical screening for tannins, flavonoids, alkaloids and reducing sugars was performed on the extract. The water extract was used to formulate twenty gels with varying gelling agents. Physicochemical analysis, toxicity, wound healing and stability studies were performed on the gels. Results: The extraction of P. muellerianus leaves yielded 13.1 %w/w. Only tannins, glycosides, saponins, sterols and triterpenoids were present. P. muellerianus gels (1 %w/v) were formulated with five different concentrations of each of four different gelling agents. The gels had satisfactory physicochemical properties, and the microbial load and drug content were within the acceptable range for herbal formulations. There was no indication of chemical interactions between the extract, polymer, and other excipients in Fourier transform infrared spectroscopy investigations. There were no significant changes in the pH, spreadability, viscosity and drug content of the gels throughout the stability assay period. Dermal toxicity studies revealed that the P. muellerianus gels were not toxic to the skin (acute and repeated dose dermal toxicity tests). Wounds treated with formulations A4 and C5 showed significantly decreased wound area from the fifth day to day 15 post-injury compared to the positive and negative control groups, with an increased rate of re-epithelialization, fibroblast proliferation, collagen deposition and neovascularization. Conclusion: Ultimately, P. muellerianus gels (A4 and C5) showed tremendous wound healing activity, stability and safety.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.298
GPT teacher head0.521
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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