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Pérez Terrazzino G, Costa M, López Campo A, Saade C, Moreno Mochi MP, Signorini M, Roge A, Van Der Ploeg C, Leotta G, Jure MÁ. Comprehensive evaluation of abattoirs with no Hazard Analysis Critical Control Point plan in Tucumán, Argentina. Rev Argent Microbiol 2023:S0325-7541(22)00105-5. [PMID: 36842870 DOI: 10.1016/j.ram.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 09/08/2022] [Accepted: 11/16/2022] [Indexed: 02/26/2023] Open
Abstract
This work focused on the comprehensive study of two provincial transit abattoirs in Tucumán, Argentina, with no Hazard Analysis Critical Control Point (HACCP) plan. Visits (n=20) were conducted between 2016 and 2018 during the operational and post-operational processes. Risk was estimated and the bacteriological analysis of carcass and environmental samples was performed. Risk estimation showed the predominance of high risk in both abattoirs. The main deviations from the HACCP plan were: deficient building conditions, deficient workflow, lack of sectorization of changing rooms and bathrooms, lack of implementation of Standardized Sanitary Operational Procedures, and no food safety training of workers. The counts of indicator microorganisms from both abattoirs were not significant. Salmonella spp. was isolated from 7.5% carcass and 7.3% environmental samples. The Salmonella serovars identified were Cerro, Corvallis, Havana and Agona. Shiga toxin (stx) genes were detected in 24.4% carcass and 30.9% environmental samples. The isolates were characterized as Escherichia coli O8:H7/stx1, O116:H49/stx2 and O136:H40/stx2. Based on these results, it would be possible to implement an improvement plan in Tucumán abattoirs together with the local health authorities. Still, the need to work jointly with the sanitary authority in search of a unique sanitary standard for Argentina remains unaddressed.
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Affiliation(s)
- Gabriela Pérez Terrazzino
- Instituto de Microbiología "Dr. Luis C Verna", Cátedra de Bacteriología, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, San Miguel de Tucumán, Ayacucho 491 (4000) Tucumán, Argentina
| | - Magdalena Costa
- IGEVET - Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Calle 60 y 118 (1900) La Plata, Argentina
| | - Alejandro López Campo
- Dirección de Ganadería de la Provincia de Tucumán, Córdoba 1039 (4000) San Miguel de Tucumán, Argentina
| | - Carolina Saade
- Dirección de Ganadería de la Provincia de Tucumán, Córdoba 1039 (4000) San Miguel de Tucumán, Argentina
| | - María Paula Moreno Mochi
- Instituto de Microbiología "Dr. Luis C Verna", Cátedra de Bacteriología, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, San Miguel de Tucumán, Ayacucho 491 (4000) Tucumán, Argentina
| | - Marcelo Signorini
- EEA RAFAELA - Estación Experimental Agropecuaria Rafaela (CR SANTA FE-CONICET - INTA - Instituto Nacional de Tecnología Agropecuaria), Ruta 34 Km 227 (2300) Rafaela, Santa Fe, Argentina
| | - Ariel Roge
- Servicio Antígenos y Antisueros, Instituto Nacional de Producción de Biológicos, Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán", Av. Vélez Sarsfield 563 (1281) Buenos Aires, Argentina
| | - Claudia Van Der Ploeg
- Servicio Antígenos y Antisueros, Instituto Nacional de Producción de Biológicos, Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán", Av. Vélez Sarsfield 563 (1281) Buenos Aires, Argentina
| | - Gerardo Leotta
- IGEVET - Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Calle 60 y 118 (1900) La Plata, Argentina
| | - María Ángela Jure
- Instituto de Microbiología "Dr. Luis C Verna", Cátedra de Bacteriología, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, San Miguel de Tucumán, Ayacucho 491 (4000) Tucumán, Argentina.
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Shahzad A, Ullah F, Irshad H, Ahmed S, Shakeela Q, Mian AH. Molecular detection of Shiga toxin-producing Escherichia coli (STEC) O157 in sheep, goats, cows and buffaloes. Mol Biol Rep 2021; 48:6113-6121. [PMID: 34374895 DOI: 10.1007/s11033-021-06631-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 08/05/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Shiga toxin-producing E. coli (STEC) are important foodborne pathogens that causing serious public health consequences worldwide. The present study aimed to estimate the prevalence ratio and to identify the zoonotic potential of E. coli O157 isolates in slaughtered adult sheep, goats, cows and buffaloes. MATERIALS AND METHODS A total of 400 Recto-anal samples were collected from two targeted sites Rawalpindi and Islamabad. Among them, 200 samples were collected from the slaughterhouse of Rawalpindi included sheep (n = 75) and goats (n = 125). While, 200 samples were collected from the slaughterhouse of Islamabad included cows (n = 120) and buffalos (n = 80). All samples were initially processed in buffered peptone water and then amplified by conventional PCR. Samples positive for E. coli O157 were then streaked onto SMAC media plates. From each positive sample, six different Sorbitol fermented pink-colored colonies were isolated and analyzed again via conventional PCR to confirm the presence of rfbE O157 gene. Isolates positive for rfbE O157 gene were then further analyzed by multiplex PCR for the presence of STEC other virulent genes (sxt1, stx2, eae and ehlyA) simultaneously. RESULTS Of 400 RAJ samples only 2 (0.5%) showed positive results for E. coli O157 gene, included sheep 1/75 (1.33%) and buffalo 1/80 (1.25%). However, goats (n = 125) and cows (n = 120) found negative for E. coli O157. Only 2 isolates from each positive sample of sheep (1/6) and buffalo (1/6) harbored rfbE O157 genes, while five isolates could not. The rfbE O157 isolate (01) of sheep sample did not carry any of STEC genes, while the rfbE O157 isolate (01) of buffalo sample carried sxt1, stx2, eae and ehlyA genes simultaneously. CONCLUSION It was concluded that healthy adult sheep and buffalo are possibly essential carriers of STEC O157. However, rfbE O157 isolate of buffalo RAJ sample carried 4 STEC virulent genes, hence considered an important source of STEC infection to humans and environment which should need to devise proper control systems.
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Affiliation(s)
- Asim Shahzad
- Department of Microbiology, Hazara University, Garden Campus, Mansehra, 21300, Pakistan
| | - Fahim Ullah
- Department of Microbiology, Hazara University, Garden Campus, Mansehra, 21300, Pakistan
| | - Hamid Irshad
- Animal Health Program, Animal Sciences Institute, National Agricultural Research Centre (NARC), Park Road, Islamabad, 44000, Pakistan
| | - Shehzad Ahmed
- Department of Microbiology, Hazara University, Garden Campus, Mansehra, 21300, Pakistan.
| | - Qismat Shakeela
- Department of Microbiology, Abbottabad University of Science & Technology, Havelian, 22010, Pakistan
| | - Abrar Hussain Mian
- Department of Microbiology, Hazara University, Garden Campus, Mansehra, 21300, Pakistan.
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Changes in STEC and bacterial communities during enrichment of manufacturing beef in selective and non-selective media. Food Microbiol 2020; 96:103711. [PMID: 33494892 DOI: 10.1016/j.fm.2020.103711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 11/26/2020] [Accepted: 12/01/2020] [Indexed: 11/22/2022]
Abstract
Detection and isolation of Shiga toxin-producing Escherichia coli (STEC) from manufacturing beef is challenging and it may be affected by microbial changes during enrichment. This study was designed to understand population changes during enrichment of beef from an integrated (Samples A and B) and a fragmented (Samples C and D) abattoir. The samples were enriched in buffered peptone water (BPW), Assurance GDS MPX top 7 STEC mEHEC®, BAX® E. coli O157:H7 MP and PDX-STEC media then were processed for 16 S rRNA sequencing. Escherichia dominated Sample B enrichment broths regardless of the media used (71.6-97.9%) but only in mEHEC broth (79.6%) of Sample A. Escherichia was dominant in Sample C in mEHEC (95.2%) and PDX-STEC (99.2%) broths but less in BPW (58.5%) and MP (64.9%) broths. In Sample D, Clostridium dominated in mEHEC (65.5%), MP (80.2%) and PDX-STEC (90.6%) broths. O157 STEC was isolated from Sample C only. The study suggested that MP may not be as effective as mEHEC and PDX-STEC and that Clostridium could interfere with enrichment of Escherichia. Understanding the ecological changes during enrichment provides meaningful insight to optimising the enrichment protocol for STEC and subsequently enhance the efficiency of STEC detection.
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Buytaers FE, Saltykova A, Denayer S, Verhaegen B, Vanneste K, Roosens NHC, Piérard D, Marchal K, De Keersmaecker SCJ. A Practical Method to Implement Strain-Level Metagenomics-Based Foodborne Outbreak Investigation and Source Tracking in Routine. Microorganisms 2020; 8:E1191. [PMID: 32764329 PMCID: PMC7463776 DOI: 10.3390/microorganisms8081191] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 07/31/2020] [Accepted: 08/01/2020] [Indexed: 12/13/2022] Open
Abstract
The management of a foodborne outbreak depends on the rapid and accurate identification of the responsible food source. Conventional methods based on isolation of the pathogen from the food matrix and target-specific real-time polymerase chain reactions (qPCRs) are used in routine. In recent years, the use of whole genome sequencing (WGS) of bacterial isolates has proven its value to collect relevant information for strain characterization as well as tracing the origin of the contamination by linking the food isolate with the patient's isolate with high resolution. However, the isolation of a bacterial pathogen from food matrices is often time-consuming and not always successful. Therefore, we aimed to improve outbreak investigation by developing a method that can be implemented in reference laboratories to characterize the pathogen in the food vehicle without its prior isolation and link it back to human cases. We tested and validated a shotgun metagenomics approach by spiking food pathogens in specific food matrices using the Shiga toxin-producing Escherichia coli (STEC) as a case study. Different DNA extraction kits and enrichment procedures were investigated to obtain the most practical workflow. We demonstrated the feasibility of shotgun metagenomics to obtain the same information as in ISO/TS 13136:2012 and WGS of the isolate in parallel by inferring the genome of the contaminant and characterizing it in a shorter timeframe. This was achieved in food samples containing different E. coli strains, including a combination of different STEC strains. For the first time, we also managed to link individual strains from a food product to isolates from human cases, demonstrating the power of shotgun metagenomics for rapid outbreak investigation and source tracking.
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Affiliation(s)
- Florence E. Buytaers
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
| | - Assia Saltykova
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
| | - Sarah Denayer
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium; (S.D.); (B.V.)
| | - Bavo Verhaegen
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium; (S.D.); (B.V.)
| | - Kevin Vanneste
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
| | - Nancy H. C. Roosens
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
| | - Denis Piérard
- National Reference Center for Shiga Toxin-Producing Escherichia coli (NRC STEC), Department of Microbiology and Infection Control, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium;
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
- Department of Information Technology, IDlab, IMEC, Ghent University, 9000 Ghent, Belgium
- Department of Genetics, University of Pretoria, 0001 Pretoria, South Africa
| | - Sigrid C. J. De Keersmaecker
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
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Koutsoumanis K, Allende A, Alvarez‐Ordóñez A, Bover‐Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Peixe L, Ru G, Simmons M, Skandamis P, Suffredini E, Jenkins C, Monteiro Pires S, Morabito S, Niskanen T, Scheutz F, da Silva Felício MT, Messens W, Bolton D. Pathogenicity assessment of Shiga toxin‐producing Escherichia coli (STEC) and the public health risk posed by contamination of food with STEC. EFSA J 2020. [DOI: 10.2903/j.efsa.2020.5967] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
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Costa M, Sucari A, Epszteyn S, Oteiza J, Gentiluomo J, Melamed C, Figueroa Y, Mingorance S, Grisaro A, Spioussas S, Almeida MB, Caruso M, Pontoni A, Signorini M, Leotta G. Comparison of six commercial systems for the detection of non-O157 STEC in meat and vegetables. Food Microbiol 2019; 84:103273. [DOI: 10.1016/j.fm.2019.103273] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 07/13/2019] [Accepted: 07/15/2019] [Indexed: 10/26/2022]
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Fan R, Shao K, Yang X, Bai X, Fu S, Sun H, Xu Y, Wang H, Li Q, Hu B, Zhang J, Xiong Y. High prevalence of non-O157 Shiga toxin-producing Escherichia coli in beef cattle detected by combining four selective agars. BMC Microbiol 2019; 19:213. [PMID: 31488047 PMCID: PMC6728992 DOI: 10.1186/s12866-019-1582-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 08/27/2019] [Indexed: 12/11/2022] Open
Abstract
Background Shiga toxin-producing Escherichia coli (STEC) are emerging foodborne pathogens that are public health concern. Cattle have been identified as the major STEC reservoir. In the present study, we investigated the prevalence and characteristics of STEC strains in beef cattle from a commercial farm in Sichuan province, China. Results Among 120 beef cattle fecal samples, stx genes were positive in 90% of samples, as assessed using TaqMan real-time PCR, and 87 (72.5%) samples were confirmed to yield at least one STEC isolate by culture using four selective agars, MacConkey, CHROMagar™ ECC, modified Rainbow® Agar O157, and CHROMagar™ STEC, from which 31, 32, 91, and 73 STEC strains were recovered, respectively. A total of 126 STEC isolates were selected and further characterized. Seventeen different O:H serotypes were identified, all of which belonged to the non-O157 serotypes. One stx1 subtype (stx1a) and three stx2 subtypes (stx2a, stx2c, and stx2d) were present among these isolates. The intimin encoding gene eae, and other adherence-associated genes (iha, saa, and paa) were present in 37, 125, 74, and 30 STEC isolates, respectively. Twenty-three isolates carried the virulence gene subA, and only one harbored both cnf1 and cnf2 genes. Three plasmid-origin virulence genes (ehxA, espP, and katP) were present in 111, 111, and 7 isolates, respectively. The 126 STEC isolates were divided into 49 pulsed-field gel electrophoresis (PFGE) patterns. Conclusions Our study showed that the joint use of the selective MacConkey and modified Rainbow® Agar O157 agars increased the recovery frequency of non-O157 STEC strains in animal feces, which could be applied to other samples and in regular STEC surveillance. Moreover, the results revealed high genetic diversity of non-O157 STEC strains in beef cattle, some of which might have the potential to cause human diseases. Electronic supplementary material The online version of this article (10.1186/s12866-019-1582-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ruyue Fan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Kun Shao
- Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Xi Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Xiangning Bai
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Shanshan Fu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Hui Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Yanmei Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Hong Wang
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan Province, China
| | - Qun Li
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan Province, China
| | - Bin Hu
- Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Ji Zhang
- mEpiLab, New Zealand Food Safety Science & Research Center, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
| | - Yanwen Xiong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
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Response to Questions Posed by the Food and Drug Administration Regarding Virulence Factors and Attributes that Define Foodborne Shiga Toxin-Producing Escherichia coli (STEC) as Severe Human Pathogens †. J Food Prot 2019; 82:724-767. [PMID: 30969806 DOI: 10.4315/0362-028x.jfp-18-479] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
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- NACMCF Executive Secretariat, * U.S. Department of Agriculture, Food Safety and Inspection Service, Office of Public Health Science, PP3, 9-178, 1400 Independence Avenue S.W., Washington, D.C. 20250-3700, USA
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Detection of Shiga Toxin-producing Escherichia coli in Ground Beef: Evaluation of Contamination Levels in Butcheries of The Metropolitan Zone in Asuncion, Paraguay. JOURNAL OF PURE AND APPLIED MICROBIOLOGY 2019. [DOI: 10.22207/jpam.13.1.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Brusa V, Costa M, Londero A, Leotta GA, Galli L. Characterization and Molecular Subtyping of Shiga Toxin–ProducingEscherichia coliStrains in Butcher Shops. Foodborne Pathog Dis 2017; 14:253-259. [DOI: 10.1089/fpd.2016.2238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Victoria Brusa
- Facultad de Ciencias Veterinarias UNLP, IGEVET—Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), La Plata, Argentina
- Laboratorio de Microbiología de Alimentos, Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
| | - Magdalena Costa
- Facultad de Ciencias Veterinarias UNLP, IGEVET—Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), La Plata, Argentina
| | - Alejandra Londero
- Facultad de Ciencias Veterinarias UNLP, IGEVET—Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), La Plata, Argentina
| | - Gerardo A. Leotta
- Facultad de Ciencias Veterinarias UNLP, IGEVET—Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), La Plata, Argentina
| | - Lucía Galli
- Facultad de Ciencias Veterinarias UNLP, IGEVET—Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), La Plata, Argentina
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Leotta GA, Brusa V, Galli L, Adriani C, Linares L, Etcheverría A, Sanz M, Sucari A, Peral García P, Signorini M. Comprehensive Evaluation and Implementation of Improvement Actions in Butcher Shops. PLoS One 2016; 11:e0162635. [PMID: 27618439 PMCID: PMC5019392 DOI: 10.1371/journal.pone.0162635] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 08/25/2016] [Indexed: 12/24/2022] Open
Abstract
Foodborne pathogens can cause acute and chronic diseases and produce a wide range of symptoms. Since the consumption of ground beef is a risk factor for infections with some bacterial pathogens, we performed a comprehensive evaluation of butcher shops, implemented improvement actions for both butcher shops and consumers, and verified the impact of those actions implemented. A comprehensive evaluation was made and risk was quantified on a 1-100 scale as high-risk (1-40), moderate-risk (41-70) or low-risk (71-100). A total of 172 raw ground beef and 672 environmental samples were collected from 86 butcher shops during the evaluation (2010-2011) and verification (2013) stages of the study. Ground beef samples were analyzed for mesophilic aerobic organisms, Escherichia coli and coagulase-positive Staphylococcus aureus enumeration. Salmonella spp., E. coli O157:H7, non-O157 Shiga toxin-producing E. coli (STEC), and Listeria monocytogenes were detected and isolated from all samples. Risk quantification resulted in 43 (50.0%) high-risk, 34 (39.5%) moderate-risk, and nine (10.5%) low-risk butcher shops. Training sessions for 498 handlers and 4,506 consumers were held. Re-evaluation by risk quantification and microbiological analyses resulted in 19 (22.1%) high-risk, 42 (48.8%) moderate-risk and 25 (29.1%) low-risk butcher shops. The count of indicator microorganisms decreased with respect to the 2010-2011 period. After the implementation of improvement actions, the presence of L. monocytogenes, E. coli O157:H7 and stx genes in ground beef decreased. Salmonella spp. was isolated from 10 (11.6%) ground beef samples, without detecting statistically significant differences between both study periods (evaluation and verification). The percentage of pathogens in environmental samples was reduced in the verification period (Salmonella spp., 1.5%; L. monocytogenes, 10.7%; E. coli O157:H7, 0.6%; non-O157 STEC, 6.8%). Risk quantification was useful to identify those relevant facts in butcher shops. The reduction of contamination in ground beef and the environment was possible after training handlers based on the problems identified in their own butcher shops. Our results confirm the feasibility of implementing a comprehensive risk management program in butcher shops, and the importance of information campaigns targeting consumers. Further collaborative efforts would be necessary to improve foodstuffs safety at retail level and at home.
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Affiliation(s)
- Gerardo A. Leotta
- IGEVET - Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
- * E-mail:
| | - Victoria Brusa
- IGEVET - Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
- Laboratorio de Microbiología de Alimentos, Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
| | - Lucía Galli
- IGEVET - Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
| | | | - Luciano Linares
- Laboratorio de Microbiología de Alimentos, Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
| | - Analía Etcheverría
- Centro de Investigación Veterinaria Tandil (CIVETAN), CONICET, CICPBA, Facultad Ciencias Veterinarias, UNCPBA
| | - Marcelo Sanz
- Centro de Investigación Veterinaria Tandil (CIVETAN), CONICET, CICPBA, Facultad Ciencias Veterinarias, UNCPBA
| | - Adriana Sucari
- Centro Estudios Infectológicos “Dr. Daniel Stamboulian”, División Alimentos, Ciudad Autónoma de Buenos Aires, Argentina
| | - Pilar Peral García
- IGEVET - Instituto de Genética Veterinaria “Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
| | - Marcelo Signorini
- CONICET - EEA Rafaela, Instituto Nacional de Tecnología Agropecuaria (INTA), Santa Fe, Argentina
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