Identification of Pathogenic Bacteria from Kilishi Meat Sold in Ka-shere Municipal: Repercussions for Public Health and Food Security

Kilishi, a popular dried meat snack predominantly consumed in northern Nigeria, is often accompanying with lacking hygienic practices during its preparation, management, and storage. This study aimed to identify the pathogenic bacteria in Kilishi sold in the Kashere municipal, Gombe State, Nigeria. A total of 30 Kilishi samples were collected from three different locations: Bakin Tasha (Spot 1), Bakin Cross (Spot 2), and Bubabani (Spot 3). The samples were examined through standard microbiological methods, including bacteriological analysis, Gram staining, and biochemical tests. The results disclosed significant bacterial infection across all samples, with Spot 3 unveiling the highest coliform count of 2.9 × 10¹º CFU/mL, followed by Spot 2 (2.5 × 10⁹ CFU/mL) and Spot 1 (1.7 × 10⁹ CFU/mL). Six bacterial species were recognized, with Bacillus species being the most predominant (28.1%), followed by Escherichia coli (23.4%), Staphylococcus species (17.2%), Pseudomonas species (12.5%), Proteus species (4.7%), and Salmonella species (14.1%). The presence of these pathogenic bacteria highlights a serious public health risk. The study underscores the need for improved hygienic practices during the manufacture, management, and storage of Kilishi to reduce microbial contamination and ensure user safety.

Authors

Institutions

Publication Details

Journal
Annals of Innovation in Medicine
Published
2025-06-30
DOI
https://doi.org/10.59652/aim.v3i2.585
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Pathogenic Bacteria from Kilishi Meat Sold in Ka-shere Municipal: Repercussions for Public Health and Food Security

Hajara Labaran
Annals of Innovation in Medicine
Identification and Quantification in Food
article

Identification of Pathogenic Bacteria from Kilishi Meat Sold in Ka-shere Municipal: Repercussions for Public Health and Food Security

Hajara Labaran
article en

Abstract

Kilishi, a popular dried meat snack predominantly consumed in northern Nigeria, is often accompanying with lacking hygienic practices during its preparation, management, and storage. This study aimed to identify the pathogenic bacteria in Kilishi sold in the Kashere municipal, Gombe State, Nigeria. A total of 30 Kilishi samples were collected from three different locations: Bakin Tasha (Spot 1), Bakin Cross (Spot 2), and Bubabani (Spot 3). The samples were examined through standard microbiological methods, including bacteriological analysis, Gram staining, and biochemical tests. The results disclosed significant bacterial infection across all samples, with Spot 3 unveiling the highest coliform count of 2.9 × 10¹º CFU/mL, followed by Spot 2 (2.5 × 10⁹ CFU/mL) and Spot 1 (1.7 × 10⁹ CFU/mL). Six bacterial species were recognized, with Bacillus species being the most predominant (28.1%), followed by Escherichia coli (23.4%), Staphylococcus species (17.2%), Pseudomonas species (12.5%), Proteus species (4.7%), and Salmonella species (14.1%). The presence of these pathogenic bacteria highlights a serious public health risk. The study underscores the need for improved hygienic practices during the manufacture, management, and storage of Kilishi to reduce microbial contamination and ensure user safety.

Annals of Innovation in MedicineVol. 3(2)
University of Nigeria (NG)
Openalex Percentile: Top 86%
Identification and Quantification in Food
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.