Microbial Analysis and Antibiogram of Workers Clothes from Building Construction Sites in Ikot Ekpene L.G.A
Keywords:
Microbial, Antibiogram, building, construction sites, analysisAbstract
The microbial assessment and antibiogram of workers clothes at building construction sites was carried out. Swabbed samples of clothes worn by workers were collected at building construction site in Ikot Ekpene L.G.A. The samples were analyzed following standard microbiological procedures. Antibiogram of the bacterial isolates was carried out using standard antibiotics for Gram positive and Gram negative bacteria. The results obtained revealed the isolation of five bacterial and four fungal species from the samples. The bacterial count was high in sample D (262 Cfu/cm2) followed by sample E (202 Cfu/cm2), sample A (96 Cfu/cm2), sample B (88 Cfu/cm2) and sample C (63 Cfu/cm2). The bacterial species isolated were; Klebsiella sp., Pseudomonas sp., Staphylococcus sp., Bacillus sp. and Streptococcus sp. The percentage occurrence of the bacterial isolates were; Klebsiella sp. (18.7%), Pseudomonas sp. (20.0%), Staphylococcus sp. (22.2%), Bacillus sp. (22.5%) and Streptococcus sp. (16.6%). Total fungal counts was high in sample A (17 Cfu/cm2), followed by sample C and D (14 Cfu/cm2), sample B (11 Cfu/cm2) and then sample A (10 Cfu/cm2). Fungal isolates were; Aspergillus sp., Candida sp., Penicillium sp. and Trichophyton sp. Among the fungal isolates, Aspergillus sp. was the most occurring isolate with percentage occurrence of 31.8%, followed by Candida sp. (25.8%), Penicillium sp. (24.2%) and then Trichophyton sp. (18.2%). Antibiotics susceptibility profile of bacteria showed that 85 % of the bacterial isolates were sensitive to the commonly used antibiotics. The presence of bacterial and fungal isolates on the workers clothe samples is an indication of potential risk of bacterial and fungal infections pose to the workers. However, the antibiogram points to the efficacy of the antibiotics in the treatment of bacterial infections that may arise due to the repeated wearing of the work clothe at building construction sites. Workers at building construction sites should practice good personal hygiene and ensures that their work clothes are washed on daily basis and disinfected before being use again. However, in case of bacterial infection, the effective antibiotic should be used for treatment.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- Bolanle Akin-Taiwo, Machine Learning in Special and Inclusive Education for Children with Disabilities , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Tope Oyebade, Sameul Babatunde, Assessment of Heavy Metal and Hydrocarbon Contamination in Wastewater from Warri Refinery and Petrochemical Company, Delta State, Nigeria, and the Remediation Potential of Kaolinite-Based Nanomaterials , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Sarah Ngusoon, Sarah Ngusoon Agwaza, Integrating Artificial Intelligence in Estate Management: Innovations, Challenges, and Future Prospects , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Idongesit Nathaniel Ufot, Nzikahyel Simon, Atim Sunday Johnson, Ekarika Christopher Johnson, Idongesit Bassey Anweting, Victor Mkpenie, Evaluation of the Binding Affinities of Mixed Ligands Metal (II) Complexes of Quercetin Sulphonic Acids on Breast Cancer Cells Using Molecular Docking. , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Uduak Irene Aletan, Sunday Adenekan, Phytochemical Profiling of Opa eyin, a Traditional Nigerian Herbal Preparation, by GC–MS and Its Potential Pharmacological Implications , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Anthony Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B., Hybrid Grey Wolf Optimization and Gorilla Troop Optimizer Algorithms in ANN for Short-Term Load Forecasting , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Babatunde Ogunyemi, COMPUTATIONAL DESIGN OF PYRIDYL-BENZALDEHYDE DERIVATIVES AS ECO-FRIENDLY CORROSION INHIBITORS: A DFT-BASED STUDY , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Uduak Aletan, Hadiza K. Adamu, Evans E. Ahams, Abraham Gana Yisa, Olayinka O. Onifade, Assessment of Antibacterial and Antioxidant Properties of Ethanol and Aqueous Extracts of Euphorbia polycnemoides Aerial Parts , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Egbuhuzor Udechukwu Peter, Okoro Enyinnaya Okoro, Enhancing Rainfall-Runoff Prediction Accuracy using Artificial Neural Networks: A Case Study of Bida, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Ogochukwu Susan Ndibe, Precious Ogechi Ufomba, A Review of Applying AI for Cybersecurity: Opportunities, Risks, and Mitigation Strategies , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
You may also start an advanced similarity search for this article.