| Literature DB >> 35749107 |
Vanessa Mendonça Soares1, Aryele Nunes da Cruz Encide Sampaio2, Emanoelli Aparecida Rodrigues Dos Santos3, Leonardo Ereno Tadielo4, Juliano Gonçalves Pereira5.
Abstract
The aim of this study was to evaluate the hygienic-sanitary quality of lamb meat sold in the city of Uruguaiana, Rio Grande do Sul (RS) by counting the indicator microorganisms and detecting pathogens such as Salmonella spp. and Listeria monocytogenes. Thirty-nine lamb meat samples were collected from 10 commercial establishments in Uruguaiana. The samples were subjected to counts of aerobic mesophilic microorganisms and enterobacteria, and to the detection of Salmonella spp. and L. monocytogenes, all following standard methods. The average counts of mesophilic microorganisms and enterobacteria were 6.08 log CFU/g (minimum 4.07 and max 6.87) and 4.73 log CFU/g (minimum 0 and max 5.88), respectively. For pathogens, L. monocytogenes was isolated from five samples (12.82%), with three samples in the same location. Only two samples (5.13%) were positive for Salmonella spp. The results demonstrated unsatisfactory hygienic-sanitary conditions because high counts of pathogens such as Salmonella spp. and L. monocytogenes. The counts of enterobacteria showed poor hygiene conditions during the various stages of production. The results also indicated fecal contamination, as Salmonella spp. and L. monocytogenes are present in the intestinal tract of both humans and animals. The high count of mesophilic microorganisms obtained could be owing to contaminated raw material or unsatisfactory processing, including unsanitary conditions and the inappropriate use of binomial time/temperature during storage. Copyright Soares et al.Entities:
Keywords: Lamb meat; Listeria monocytogenes; Salmonella spp; contamination
Year: 2021 PMID: 35749107 PMCID: PMC9179196 DOI: 10.29374/2527-2179.bjvm114420
Source DB: PubMed Journal: Rev Bras Med Vet ISSN: 0100-2430
Figure 1Scheme of microbiological analyzes performed on lamb meat samples.
Figure 2Results of counts of indicators microorganisms and detection of pathogens.