Int. J. One Health Vol.6 Article-8
Research Article
International Journal of One Health, 6(1): 41-48
https://doi.org/10.14202/IJOH.2020.41-48
Microbial risk assessment of ready-to-eat fast foods from different street-vended restaurants
Background and Aim: Microbiological risk analysis of ready-to-eat fast foods for sale on the campus of Bangladesh Agricultural University was undertaken to understand the contribution of such foods to foodborne disease.
Materials and Methods: From each of 10 randomly selected fast food outlets, a total of 120 samples of six food items were collected to assess common microbial load. In parallel, vendors were asked about their food production and selling practices, while consumers (n=200) were asked about their consumption of fast foods and whether they had experienced symptoms of foodborne disease.
Results: Aerobic plate count (APC) varied from 6.92 to 7.24 log colony-forming unit (cfu)/g, Staphylococcus spp. 4.67 to 5.15 log cfu/g, Salmonella spp. 3.67 to 4.22 log cfu/g, and Escherichia coli 4.10 to 4.58 log cfu/g. Microbial risk assessment of Staphylococcus spp., Salmonella spp., and E. coli for daily, weekly, or monthly consumption was estimated by Monte Carlo simulation (10,000 iterations). The consumer survey showed 57% chance of being infected by ready-to-eat fast food samples. The calculated mean annual risks of Staphylococcus spp., Salmonella spp., and E. coli infection were about 100% in all cases.
Conclusion: Thus, the study revealed high risk of infection associated with the consumption of ready-to-eat fast foods. Keywords: fast foods, microbial quality, microbial risk, Monte Carlo simulation.
Keywords: fast foods, microbial quality, microbial risk, Monte Carlo simulation.
Received: 05-12-2019 Accepted: 09-03-2020 Published online: 03-05-2020
Corresponding author: Sukumar Saha E-mail: sukumar.saha@bau.edu.bd
DOI: 10.14202/IJOH.2020.41-48
Copyright: Sabuj, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.