Antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria

Olodu Blessing Adoh

Makale detayları

Antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria

Yazarlar:

Olodu Blessing Adoh

Yayıncı:

Anadolu University

Ana Başlıklar:

Toxicology

Dergi:

European Journal of Life Sciences Vol.4 Issue 1, pp.1-14

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001346905

pISSN:

2822-5333

Anahtar kelimeler:

Özet:

 This study investigates the antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria. Suya meat, a popular street food, is vulnerable to bacterial contamination due to improper handling, storage, and environmental exposure. A total of fifty 50 suya meat samples were collected from various vendors across the city for microbiological analysis. Standard microbiological methods were employed to isolate and identify bacterial pathogens, including Bacillus spp., Citrobacter spp., Klebsiella spp., Escherichia coli, Pseudomonas spp., Salmonella spp., and Staphylococcus aureus. The prevalence of bacterial contamination showed that 46 of samples were positive for Escherichia coli, 38 for Staphylococcus aureus, and 30 for Pseudomonas spp. Antibiotic susceptibility testing was performed using the disc diffusion method, revealing a high resistance rate, particularly among E. coli 70, Klebsiella spp. 60, and Pseudomonas spp. 55 against ampicillin and tetracycline. Salmonella spp. displayed resistance to ampicillin 50 and ciprofloxacin 40. The analysis showed that Staphylococcus aureus was resistant to penicillin 50 and clindamycin 45. Statistical analysis conducted with SPSS version 23 revealed significant differences in antibiotic resistance patterns across bacterial species p  0.05. The results showed high resistance to Pefloxacin, Gentamycin, and Cotrimoxazole across most bacterial species, with Pseudomonas and Klebsiella exhibiting the highest resistance rates. Statistical analysis revealed significant correlations in antibiotic resistance between certain bacterial species, notably between Citrobacter and Klebsiella r  0.939, p  0.0001 and between Pseudomonas and Salmonella r  0.773, p  0.015. The results showed that E. coli emerged as the predominant pathogen, followed by Pseudomonas species and Staphylococcus aureus as major contributors to contamination. This study underscores the public health risk posed by bacterial contamination in street-vended suya meat, emphasizing the need for improved food safety measures and regulatory oversight to mitigate foodborne infections in Nigeria.

 This study investigates the antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria. Suya meat, a popular street food, is vulnerable to bacterial contamination due to improper handling, storage, and environmental exposure. A total of fifty 50 suya meat samples were collected from various vendors across the city for microbiological analysis. Standard microbiological methods were employed to isolate and identify bacterial pathogens, including Bacillus spp., Citrobacter spp., Klebsiella spp., Escherichia coli, Pseudomonas spp., Salmonella spp., and Staphylococcus aureus. The prevalence of bacterial contamination showed that 46 of samples were positive for Escherichia coli, 38 for Staphylococcus aureus, and 30 for Pseudomonas spp. Antibiotic susceptibility testing was performed using the disc diffusion method, revealing a high resistance rate, particularly among E. coli 70, Klebsiella spp. 60, and Pseudomonas spp. 55 against ampicillin and tetracycline. Salmonella spp. displayed resistance to ampicillin 50 and ciprofloxacin 40. The analysis showed that Staphylococcus aureus was resistant to penicillin 50 and clindamycin 45. Statistical analysis conducted with SPSS version 23 revealed significant differences in antibiotic resistance patterns across bacterial species p  0.05. The results showed high resistance to Pefloxacin, Gentamycin, and Cotrimoxazole across most bacterial species, with Pseudomonas and Klebsiella exhibiting the highest resistance rates. Statistical analysis revealed significant correlations in antibiotic resistance between certain bacterial species, notably between Citrobacter and Klebsiella r  0.939, p  0.0001 and between Pseudomonas and Salmonella r  0.773, p  0.015. The results showed that E. coli emerged as the predominant pathogen, followed by Pseudomonas species and Staphylococcus aureus as major contributors to contamination. This study underscores the public health risk posed by bacterial contamination in street-vended suya meat, emphasizing the need for improved food safety measures and regulatory oversight to mitigate foodborne infections in Nigeria.

 This study investigates the antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria. Suya meat, a popular street food, is vulnerable to bacterial contamination due to improper handling, storage, and environmental exposure. A total of fifty 50 suya meat samples were collected from various vendors across the city for microbiological analysis. Standard microbiological methods were employed to isolate and identify bacterial pathogens, including Bacillus spp., Citrobacter spp., Klebsiella spp., Escherichia coli, Pseudomonas spp., Salmonella spp., and Staphylococcus aureus. The prevalence of bacterial contamination showed that 46 of samples were positive for Escherichia coli, 38 for Staphylococcus aureus, and 30 for Pseudomonas spp. Antibiotic susceptibility testing was performed using the disc diffusion method, revealing a high resistance rate, particularly among E. coli 70, Klebsiella spp. 60, and Pseudomonas spp. 55 against ampicillin and tetracycline. Salmonella spp. displayed resistance to ampicillin 50 and ciprofloxacin 40. The analysis showed that Staphylococcus aureus was resistant to penicillin 50 and clindamycin 45. Statistical analysis conducted with SPSS version 23 revealed significant differences in antibiotic resistance patterns across bacterial species p  0.05. The results showed high resistance to Pefloxacin, Gentamycin, and Cotrimoxazole across most bacterial species, with Pseudomonas and Klebsiella exhibiting the highest resistance rates. Statistical analysis revealed significant correlations in antibiotic resistance between certain bacterial species, notably between Citrobacter and Klebsiella r  0.939, p  0.0001 and between Pseudomonas and Salmonella r  0.773, p  0.015. The results showed that E. coli emerged as the predominant pathogen, followed by Pseudomonas species and Staphylococcus aureus as major contributors to contamination. This study underscores the public health risk posed by bacterial contamination in street-vended suya meat, emphasizing the need for improved food safety measures and regulatory oversight to mitigate foodborne infections in Nigeria.

 This study investigates the antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria. Suya meat, a popular street food, is vulnerable to bacterial contamination due to improper handling, storage, and environmental exposure. A total of fifty 50 suya meat samples were collected from various vendors across the city for microbiological analysis. Standard microbiological methods were employed to isolate and identify bacterial pathogens, including Bacillus spp., Citrobacter spp., Klebsiella spp., Escherichia coli, Pseudomonas spp., Salmonella spp., and Staphylococcus aureus. The prevalence of bacterial contamination showed that 46 of samples were positive for Escherichia coli, 38 for Staphylococcus aureus, and 30 for Pseudomonas spp. Antibiotic susceptibility testing was performed using the disc diffusion method, revealing a high resistance rate, particularly among E. coli 70, Klebsiella spp. 60, and Pseudomonas spp. 55 against ampicillin and tetracycline. Salmonella spp. displayed resistance to ampicillin 50 and ciprofloxacin 40. The analysis showed that Staphylococcus aureus was resistant to penicillin 50 and clindamycin 45. Statistical analysis conducted with SPSS version 23 revealed significant differences in antibiotic resistance patterns across bacterial species p  0.05. The results showed high resistance to Pefloxacin, Gentamycin, and Cotrimoxazole across most bacterial species, with Pseudomonas and Klebsiella exhibiting the highest resistance rates. Statistical analysis revealed significant correlations in antibiotic resistance between certain bacterial species, notably between Citrobacter and Klebsiella r  0.939, p  0.0001 and between Pseudomonas and Salmonella r  0.773, p  0.015. The results showed that E. coli emerged as the predominant pathogen, followed by Pseudomonas species and Staphylococcus aureus as major contributors to contamination. This study underscores the public health risk posed by bacterial contamination in street-vended suya meat, emphasizing the need for improved food safety measures and regulatory oversight to mitigate foodborne infections in Nigeria.

Makale detayları

Antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria

Yazarlar:

Olodu Blessing Adoh

Yayıncı:

Anadolu University

Ana Başlıklar:

Toxicology

Dergi:

European Journal of Life Sciences Vol.4 Issue 1, pp.1-14

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001346905

pISSN:

2822-5333

Antibiotic resistance

Bacterial contaminants

Foodborne pathogens

Public health

Suya meat

Sayı

Makale detayları

Antibiotic resistance and prevalence of bacterial contaminants in street-vended suya meat in Benin City, Nigeria

Yazarlar: Olodu Blessing Adoh

Yayıncı: Anadolu University

Ana Başlıklar: Toxicology

Dergi: European Journal of Life Sciences Vol.4 Issue 1, pp.1-14

Belge Tipi: Makale

Yayın Tarihi: 4/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001346905

pISSN: 2822-5333

Antibiotic resistance

Bacterial contaminants

Foodborne pathogens

Public health

Suya meat

Sayı

Yazarlar:

Olodu Blessing Adoh

Yayıncı:

Anadolu University

Ana Başlıklar:

Toxicology

Dergi:

European Journal of Life Sciences Vol.4 Issue 1, pp.1-14

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001346905

pISSN:

2822-5333