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Phytochemical Screening and in vitro Antimicrobial Activity of Lawsonia Inermis Barks

2023· article· en· W4366495377 on OpenAlex
Jean Ntaganda, Devotha Mukandayisenga, Theodette Mukeshimana, Jean Bosco Shimirwa

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDiscovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsnot available
Fundersnot available
KeywordsLawsonia inermisPhytochemicalAntimicrobialTraditional medicineAgar diffusion testAntibacterial activityPunicaBiologyChemistryMicrobiologyMedicineBacteria

Abstract

fetched live from OpenAlex

Plants have been used as medicine since time immemorial (Ushimaru et al., 2007). Medicinal plants are essential sources of easily accessible remedies used by traditional healers. Henna leaves are used to cure jaundice, skin diseases, dysentery, arthritis (Sharma et al., 2018). Lawsonia inermis is widely used by Rwandan as cosmetic products and in treatment of different ailments. This study was aimed to investigate the phytochemical screening and in vitro antimicrobial activities of different extracts of L. inermis barks collected from Huye District in Southern Province of Rwanda. The dried and powdered barks were extracted with methanol and cyclohexane by maceration giving 1.627g (10.83%), 0.173.g (1.15%) respectively. The extracts were concentrated for further phytochemical tests and evaluated for antimicrobial activity against Escherichia coli and Staphylococcus aureus using disk diffusion method.The results from phytochemical screening revealed the presence of terpenoids, phenolic compounds, tannins, flavonoids, proteins and saponins. Lawsonia inermis barks displayed antimicrobial activity against both gram negative and gram positive bacterial strains used in the present study. The findings of antimicrobial assay showed that the methanol extract of lawsonia inermis barks with the concentration of 10-1 has an antibacterial activity against gram negative bacteria Escherichia coli with zone of inhibition of 10 mm which is same as, the positive control, penicillin inhibition zone (10 mm) with the same concentration. The antibacterial activity of cyclohexane extract against E. coli showed a smaller inhibition zone of 9 mm for diluted inoculum (10-1). For the same concentrations of extracts and inoculums, the methanol extract inhibited Staphylococcus aureus (gram positive) growth with zone of inhibition of 9 mm, while the antibacterial activity of cyclohexane extract against the same bacteria was 4 mm, which are smaller than penicillin inhibition zone (18 mm). Key words: lawsonia inermis, phytochemical screening, anti-microbial activity, E. coli, S. aureus.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.184
GPT teacher head0.491
Teacher spread0.308 · 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