Efficacy of methanol extracts of <i>Lawsonia inermis</i> L. and <i>Cymbopogon citratus</i> Stapf. against fungal isolates from poultry farms in Anambra State, Nigeria

Fungal diseases in poultry constitute a challenge to poultry productivity and public health risk to poultry workers. The aim of this research was to evaluate the efficacy of Lawsonia inermis L. and Cymbopogon citratus Stapf. leaves against fungal isolates from poultry farms. Susceptibility of fifteen species of fungi to methanol extracts of the plants leaves were assessed using disc diffusion method. Discs impregnated with different concentrations of these extracts were placed on Sabouraud Dextrose Agar plates inoculated with the test organisms. Discs with 2% DMSO and 1.25 mg/ml Nystatin served as negative and positive controls. The plates were incubated at 25°C for 48 hours and diameter of zone of inhibition measured in millimeters. Minimum Inhibitory Concentration (MIC) and Minimum Fungicidal Concentration (MFC) were determined using broth dilution method. Ten moulds (66.7%) were susceptible to methanolextract of L. inermis while eight (53.3%) were inhibited by C. citratus. MIC and MFC of the extracts were recorded at ≥12.5 mg/ml and ≥50 mg/ml respectively. The leaves exhibited fungicidal activities against most tested moulds and could be explored as alternative and safer sources of new antifungal drugs.

Authors

Publication Details

Journal
Journal of Pharmacy & Bioresources
Published
2024-09-13
DOI
https://doi.org/10.4314/jpb.v21i3.5
Primary Topic
Bioactive Compounds and Antitumor Agents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficacy of methanol extracts of Lawsonia inermis L. and Cymbopogon citratus Stapf. against fungal isolates from poultry farms in Anambra State, Nigeria

Vivian Nonyelum Anakwenze, Chito Clare Ekwealor, Chikaodili Gladys Anaukwu, Anthonia Nkiruka et al.
Journal of Pharmacy & Bioresources
Bioactive Compounds and Antitumor Agents
article

Efficacy of methanol extracts of Lawsonia inermis L. and Cymbopogon citratus Stapf. against fungal isolates from poultry farms in Anambra State, Nigeria

Vivian Nonyelum Anakwenze, Chito Clare Ekwealor, Chikaodili Gladys Anaukwu, Anthonia Nkiruka, Ikechukwu Amechi Ekwealor
article en

Abstract

Fungal diseases in poultry constitute a challenge to poultry productivity and public health risk to poultry workers. The aim of this research was to evaluate the efficacy of Lawsonia inermis L. and Cymbopogon citratus Stapf. leaves against fungal isolates from poultry farms. Susceptibility of fifteen species of fungi to methanol extracts of the plants leaves were assessed using disc diffusion method. Discs impregnated with different concentrations of these extracts were placed on Sabouraud Dextrose Agar plates inoculated with the test organisms. Discs with 2% DMSO and 1.25 mg/ml Nystatin served as negative and positive controls. The plates were incubated at 25°C for 48 hours and diameter of zone of inhibition measured in millimeters. Minimum Inhibitory Concentration (MIC) and Minimum Fungicidal Concentration (MFC) were determined using broth dilution method. Ten moulds (66.7%) were susceptible to methanolextract of L. inermis while eight (53.3%) were inhibited by C. citratus. MIC and MFC of the extracts were recorded at ≥12.5 mg/ml and ≥50 mg/ml respectively. The leaves exhibited fungicidal activities against most tested moulds and could be explored as alternative and safer sources of new antifungal drugs.

Journal of Pharmacy & BioresourcesVol. 21(3)
Openalex Percentile: Top 84%
Bioactive Compounds and Antitumor Agents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.