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Research Article Open access CC BY 4.0

Microbial Assessment of Foods and Currencies from Street Food Vendors and Antibiotic Resistance Profile of Isolates

O. A. Ajayi, D. O. Oladele

Journal of Advances in Microbiology · pp. 1–11 · Published 16 Jan 2019

10.9734/JAMB/2019/45662

Abstract

Aims: Street food vendors handle money and food simultaneously, creating possibilities of cross contamination. This study focused on determining the microbial loads of street vended foods and currency denominations received as change; identify and determine the antibiotics resistance profile of the isolates. Materials and Methods: Four Street vended food samples and currency (10 - 500 Naira) notes from four vendors (FV) were collected. Microbial loads of food and money, biochemical analyses for identification of isolates and antibiotic resistance profile of the isolates were performed using standard methods. Results: Total viable count (TVC) value ranged from (1.0×107 to 1.7×108 CFU/g); Staphylococcal (5.8×106 to 1.6×107 CFU/g), Salmonella-Shigella (NG to 1.2×107 CFU/g) and Coliform (no growth) from FV1. TVC ranged from (4.2×106 to 2.0×107 CFU/g); Staphylococcal (1.2×106 to 2.0×107 CFU/g), Salmonella-Shigella (1.6×106 to 1.1×107 CFU/g) and Coliform (NG to 1.5×105 CFU/g) from FV2. From FV3 TVC ranged from (9.3×106 to 4.6×107 CFU/g); Staphylococcal (1.9×106 to 5.1×106 CFU/g), Salmonella-Shigella (1.3×106 to 5.9×106 CFU/g) and Coliform (5.0×103 to 1.0×106 CFU/g). FV4 load ranged from (2.8×106 to 1.3×108 CFU/g); Staphylococcal (1.7×106 CFU/g to TNTC), Salmonella-Shigella (NG to 5.7×107 CFU/g) and Coliform (6.5×104 to 6.8×105 CFU/g). Eleven genera were identified from food and currencies including: Staphylococcus, Klebsiella, Escherichia coli and Enterobacter. Organisms showed varied resistance patterns to the different antibiotics screened. The percent resistance for Ampicillin and Ciprofloxacin were (87.5%), Ofloxacin (61.5%), Ceftazidime, Gentamicin and Amoxycillin/Clavulanate were (53.8%). Conclusion: In conclusion, there are possibilities of cross contamination between food and currencies making the safety of consuming the foods a public health concern.

Street foods food money simultaneous handling safety.

References (14)

  1. 1 Outbreaks Where Food Workers Have Been Implicated in the Spread of Foodborne Disease. Part 1. Description of the Problem, Methods, and Agents Involved [DOI]
  2. 2 Outbreaks Where Food Workers Have Been Implicated in the Spread of Foodborne Disease. Part 3. Factors Contributing to Outbreaks and Description of Outbreak Categories [DOI]
  3. 3 Outbreaks Where Food Workers Have Been Implicated in the Spread of Foodborne Disease. Part 2. Description of Outbreaks by Size, Severity, and Settings [DOI]
  4. 4 Food Safety and Hyienic Practices of Street Food Vendors in Owerri, Nigeria [DOI]
  5. 5 Prevalence of Plasmid-Mediated Quinolone Resistance and Aminoglycoside Resistance Determinants among Carbapeneme Non-Susceptible Enterobacter cloacae [DOI]
  6. 6 Microbial Contamination of ‘Naira’ (Nigerian Currency) Notes in Circulation [DOI]
  7. 7 Microbial Load on Paper/Polymer Currency and Coins [DOI]
  8. 8 Microbiological profiles of foods served by street vendors in Egypt [DOI]
  9. 9 Hazards and Critical Control Points of Street-Vending Operations in a Mountain Resort Town in Pakistan [DOI]
  10. 10 Bacterial Contaminants of Nigerian Currency Notes and Associated Risk Factors [DOI]
  11. 11 Microbiological Profiles and Storage Temperatures of Egyptian Fish and Other Sea Foods [DOI]
  12. 12 Hygienic and Sanitary Assessment of Street Food Vendors in Selected Towns of Enugu North District of Nigeria
  13. 13 Fungal flora of Nigerian currency notes in circulation in Benin City, Nigeria [DOI]
  14. 14 Health surveillance and management procedures for food handling personnel [DOI]

Cited by 2

Salmonella isolated from street foods and environment of an urban park: A whole genome sequencing approach

Christian Vinueza-Burgos, José Medina-Santana, Maria Ishida · PLOS ONE · 2025

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