|
1
|
Fürstenberg R, Langkabel N, Grosse-Kleimann J, Kreienbrock L, Meemken D. Agar Contact Method as a Valuable Tool to Identify Slaughter Hygiene Deficiencies along the Slaughter Process by Longitudinally Sampling Pig Skin Surfaces. Microorganisms 2023; 11:2512. [PMID: 37894170 PMCID: PMC10609102 DOI: 10.3390/microorganisms11102512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/24/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
Examinations of total viable counts (TVCs) and Salmonella spp. on the skin of individual pigs during the slaughter process are useful to identify abattoir-specific risk factors for (cross-)contamination. At seven process stages (lairage to before chilling), pigs were bacteriologically investigated by repeatedly sampling the same animals using the agar contact method. The mean TVC of all pigs increased significantly at the first three tested process stages (mean count, after delivery: 5.70 log cfu/cm2, after showering: 6.27 log cfu/cm2, after stunning: 6.48 log cfu/cm2). Significant mean TVC reductions occurred after scalding/dehairing (mean count: 3.71 log cfu/cm2), after singeing/flaming (2.70 log cfu/cm2), and after evisceration (2.44 log cfu/cm2) compared with the respective preceding process stages. At the end of the slaughter line and before chilling, the mean TVC was 2.33 log cfu/cm2, showing that the slaughter process reduced contamination significantly. The slaughter process effectively reduced even very high levels of incoming TVCs, since at the individual animal level, at the end of the slaughter process, there was no difference in the TVCs of animals with initially high and initially low TVCs. Additionally, 12 Salmonella spp. isolates were recovered from 12 different pigs, but only until the stage after scalding/dehairing. Overall, the agar contact method used is valuable for detecting hygiene deficiencies at slaughter, and is animal-equitable, practical, and suitable for use on live animals.
Collapse
Affiliation(s)
- Roland Fürstenberg
- Working Group Meat Hygiene, Institute of Food Safety and Food Hygiene, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany; (R.F.)
| | - Nina Langkabel
- Working Group Meat Hygiene, Institute of Food Safety and Food Hygiene, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany; (R.F.)
| | - Julia Grosse-Kleimann
- Department for Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany
| | - Lothar Kreienbrock
- Department for Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany
| | - Diana Meemken
- Working Group Meat Hygiene, Institute of Food Safety and Food Hygiene, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany; (R.F.)
| |
Collapse
|
|
2
|
Cardinale D, Tafuro M, Mancusi A, Girardi S, Capuano F, Proroga YTR, Corrado F, D’Auria JL, Coppola A, Rofrano G, Volzone P, Galdi P, De Vita S, Gallo A, Suffredini E, Pierri B, Cerino P, Morgante M. Sponge Whirl-Pak Sampling Method and Droplet Digital RT-PCR Assay for Monitoring of SARS-CoV-2 on Surfaces in Public and Working Environments. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19105861. [PMID: 35627397 PMCID: PMC9141805 DOI: 10.3390/ijerph19105861] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/05/2022] [Accepted: 05/08/2022] [Indexed: 02/06/2023]
Abstract
The SARS-CoV-2 can spread directly via saliva, respiratory aerosols and droplets, and indirectly by contact through contaminated objects and/or surfaces and by air. In the context of COVID-19 fomites can be an important vehicle of virus transmission and contribute to infection risk in public environments. The aim of the study was to analyze through surface sampling (sponge method) the presence of SARS-CoV-2 in public and working environments, in order to evaluate the risk for virus transmission. Seventy-seven environmental samples were taken using sterile sponges in 17 animal farms, 4 public transport buses, 1 supermarket and 1 hotel receptive structure. Furthermore, 246 and 93 swab samples were taken in the farms from animals and from workers, respectively. SARS-CoV-2 detection was conducted by real-time RT-PCR and by digital droplet RT-PCR (dd RT-PCR) using RdRp, gene E and gene N as targets. None of the human and animal swab samples were positive for SARS-CoV-2, while detection was achieved in 20 of the 77 sponge samples (26%) using dd RT-PCR. Traces of the RdRp gene, gene E and gene N were found in 17/77 samples (22%, average concentration 31.2 g.c./cm2, range 5.6 to 132 g.c./cm2), 8/77 samples (10%, average concentration 15.1 g.c./cm2, range 6 to 36 g.c./cm2), and in 1/77 (1%, concentration 7.2 g.c./cm2). Higher detection rates were associated with sampling in animal farms and on public transport buses (32% and 30%) compared to the supermarket (21%) and the hotel (no detection). The result of the study suggests that the risk of contamination of surfaces with SARS-CoV-2 increases in environments in which sanitation strategies are not suitable and/or in highly frequented locations, such as public transportation. Considering the analytical methods, the dd RT-PCR was the only approach achieving detection of SARS-CoV-2 traces in environmental samples. Thus, dd RT-PCR emerges as a reliable tool for sensitive SARS-CoV-2 detection.
Collapse
Affiliation(s)
- Davide Cardinale
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Maria Tafuro
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Andrea Mancusi
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (A.M.); (S.G.); (F.C.); (Y.T.R.P.)
| | - Santa Girardi
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (A.M.); (S.G.); (F.C.); (Y.T.R.P.)
| | - Federico Capuano
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (A.M.); (S.G.); (F.C.); (Y.T.R.P.)
| | - Yolande Thérèse Rose Proroga
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (A.M.); (S.G.); (F.C.); (Y.T.R.P.)
| | - Federica Corrado
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Jacopo Luigi D’Auria
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Annachiara Coppola
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Giuseppe Rofrano
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Palmiero Volzone
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Pio Galdi
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Sabato De Vita
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Alfonso Gallo
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Elisabetta Suffredini
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161 Rome, Italy;
| | - Biancamaria Pierri
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
- Correspondence:
| | - Pellegrino Cerino
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute n. 2, 80055 Portici, Italy; (D.C.); (M.T.); (F.C.); (J.L.D.); (A.C.); (G.R.); (P.V.); (P.G.); (S.D.V.); (A.G.); (P.C.)
| | - Maria Morgante
- Azienda Sanitaria Locale Avellino, 83100 Avellino, Italy;
| |
Collapse
|
|
3
|
Zadoks RN, Barker GC, Benschop J, Allan KJ, Chaters G, Cleaveland S, Crump JA, Davis MA, Mmbaga BT, Prinsen G, Thomas KM, Waldman L, French NP. Spread of Nontyphoidal Salmonella in the Beef Supply Chain in Northern Tanzania: Sensitivity in a Probabilistic Model Integrating Microbiological Data and Data from Stakeholder Interviews. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2022; 42:989-1006. [PMID: 34590330 DOI: 10.1111/risa.13826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/22/2021] [Accepted: 08/27/2021] [Indexed: 06/13/2023]
Abstract
East Africa is a hotspot for foodborne diseases, including infection by nontyphoidal Salmonella (NTS), a zoonotic pathogen that may originate from livestock. Urbanization and increased demand for animal protein drive intensification of livestock production and food processing, creating risks and opportunities for food safety. We built a probabilistic mathematical model, informed by prior beliefs and dedicated stakeholder interviews and microbiological research, to describe sources and prevalence of NTS along the beef supply chain in Moshi, Tanzania. The supply chain was conceptualized using a bow tie model, with terminal livestock markets as pinch point, and a forked pathway postmarket to compare traditional and emerging supply chains. NTS was detected in 36 (7.7%) of 467 samples throughout the supply chain. After combining prior belief and observational data, marginal estimates of true NTS prevalence were 4% in feces of cattle entering the beef supply and 20% in raw meat at butcheries. Based on our model and sensitivity analyses, true NTS prevalence was not significantly different between supply chains. Environmental contamination, associated with butchers and vendors, was estimated to be the most likely source of NTS in meat for human consumption. The model provides a framework for assessing the origin and propagation of NTS along meat supply chains. It can be used to inform decision making when economic factors cause changes in beef production and consumption, such as where to target interventions to reduce risks to consumers. Through sensitivity and value of information analyses, the model also helps to prioritize investment in additional research.
Collapse
Affiliation(s)
- Ruth N Zadoks
- Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Sydney School of Veterinary Science, University of Sydney, Sydney, Australia
| | | | - Jackie Benschop
- mEpiLab, School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Kathryn J Allan
- Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- School of Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Gemma Chaters
- Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Sarah Cleaveland
- Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - John A Crump
- Centre for International Health, University of Otago, Dunedin, New Zealand
| | - Margaret A Davis
- Paul G. Allen School for Global Animal Health, Washington State University, Pullman, Washington, USA
| | - Blandina T Mmbaga
- Kilimanjaro Christian Medical University College and Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania
| | - Gerard Prinsen
- School of People, Environment and Planning, Massey University, Palmerston North, New Zealand
| | - Kate M Thomas
- Centre for International Health, University of Otago, Dunedin, New Zealand
- Ministry of Primary Industries, Wellington, New Zealand
| | - Linda Waldman
- Institute for Development Studies, University of Sussex, Brighton, UK
| | - Nigel P French
- The New Zealand Food Safety Science and Research Centre, Massey University, Palmerston North, New Zealand
| |
Collapse
|
|
4
|
Method-Related Impacts on Campylobacter coli Recovery From Sampling Materials And Meat. ACTA VET-BEOGRAD 2021. [DOI: 10.2478/acve-2021-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract
A defined Campylobacter coli (C. coli) suspension was inoculated on sterile sampling materials (cotton bud, polyester bud, cellulose sponge) and pieces of lamb meat. Various combinations of diluents (phosphate buffer saline ± Tween®80) and sampling methods (direct homogenization, simulating the excision method for meat, and swabbing) were investigated for the recovery (detachment) of C. coli cells from the inoculated samples. The obtained C. coli bacteria, as quantified by real-time PCR with respect to the dilution factors and the initial inoculum, were used for the calculation of the recovery (%) per sampling material and method. Regarding artificially inoculated sampling materials, the lowest recovery was observed for cotton buds (2.8%) and the highest for cellulose sponge (28.9%), and the differences between the obtained results were statistically significant (P < 0.05). As regards lamb meat, the lowest recovery was observed for swabbing with cotton buds (3.2%) and the highest for direct homogenization (10.7%). The results indicate an overall low rate of bacterial recovery from contaminated samples, with cellulose sponges and polyester buds being significantly superior to cotton buds, and direct homogenization of meat with diluent better than swabbing. The type of sampling materials and methods applied for the quantification of C. coli entails a key impact on determining the actual contamination of the examined samples.
Collapse
|
|
5
|
Alvseike O, Røssvoll E, Røtterud OJ, Nesbakken T, Skjerve E, Prieto M, Sandberg M, Johannessen G, Økland M, Urdahl AM, Hauge SJ. Slaughter hygiene in European cattle and sheep abattoirs assessed by microbiological testing and Hygiene Performance Rating. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.01.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
|
|
6
|
Alnajrani M, Hanlon K, English A, Fermin K, Brashears MM, Echeverry A. Comparing the Recovery of Indicator Microorganisms from Beef Trimmings Using Swabbing, Rinsing, and Grinding Methodologies. MEAT AND MUSCLE BIOLOGY 2018. [DOI: 10.22175/mmb2017.09.0047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Different bacterial sampling methods that are destructive or nondestructive in nature have been developed to evaluate the microbial quality of meat and determine if it fulfills criteria for distribution to the public. The purpose of this study was to evaluate the effectiveness of swabbing, rinsing, and grinding as sampling methodologies for recovery of indicator microorganisms on beef trimmings. A total of fifteen samples (n = 15) of beef trimmings were collected using the N60 trim sampling technique adopted by the USDA Food Safety and Inspection Service. Each of the 15 samples were divided into 3 parts, with each part assigned to a methodology (swabbing, rinsing, or grinding), and subjected to multiple sequential sampling for a total of three times. A comparison was made between the first sampling and the total bacteria recovered by each methodology. For total aerobic counts (TAC) obtained by the rinse and the grinding methodology, the first sampling as well as the total resulted in aerobic bacteria counts that were not significantly different (P > 0.05); however, swabbing yielded counts that were significantly lower (P < 0.05) than both rinsing and grinding. For total coliforms, rinsing was not significantly different (P < 0.05) from either swabbing or grinding, yet swabbing recovered the least number of bacteria. Within each sampling methodology, the decline in aerobic bacteria counts due to multiple sequential samplings was calculated. Rinsing and grinding resulted in significantly lower counts (P < 0.05) after the initial samplings, whereas swabbing did not (P > 0.05). Linear models showed strong relationships, with a coefficient of determination (r2) of 0.81 (swabbing vs. grinding), 0.67 (swabbing vs. rinsing), and 0.70 (rinsing vs. grinding). Although the sampling methodologies investigated are reliable to determine true bacterial counts of tested samples, consistency and uniformity of sampling is required for the proper interpretation of the acquired results.
Collapse
Affiliation(s)
| | - Keelyn Hanlon
- Texas Tech University Department of Animal and Food Sciences
| | - Andrea English
- Texas Tech University Department of Animal and Food Sciences
| | - Kathleen Fermin
- Texas Tech University Department of Animal and Food Sciences
| | | | | |
Collapse
|
|
7
|
Alnajrani M, Hanlon K, English A, Fermin K, Brashears MM, Echeverry A. Comparing the Recovery of Indicator Microorganisms from Beef Trimmings Using Swabbing, Rinsing, and Grinding Methodologies. MEAT AND MUSCLE BIOLOGY 2018. [DOI: 10.22175/mmb.9059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Different bacterial sampling methods that are destructive or nondestructive in nature have been developed to evaluate the microbial quality of meat and determine if it fulfills criteria for distribution to the public. The purpose of this study was to evaluate the effectiveness of swabbing, rinsing, and grinding as sampling methodologies for recovery of indicator microorganisms on beef trimmings. A total of fifteen samples (n = 15) of beef trimmings were collected using the N60 trim sampling technique adopted by the USDA Food Safety and Inspection Service. Each of the 15 samples were divided into 3 parts, with each part assigned to a methodology (swabbing, rinsing, or grinding), and subjected to multiple sequential sampling for a total of three times. A comparison was made between the first sampling and the total bacteria recovered by each methodology. For total aerobic counts (TAC) obtained by the rinse and the grinding methodology, the first sampling as well as the total resulted in aerobic bacteria counts that were not significantly different (P > 0.05); however, swabbing yielded counts that were significantly lower (P < 0.05) than both rinsing and grinding. For total coliforms, rinsing was not significantly different (P < 0.05) from either swabbing or grinding, yet swabbing recovered the least number of bacteria. Within each sampling methodology, the decline in aerobic bacteria counts due to multiple sequential samplings was calculated. Rinsing and grinding resulted in significantly lower counts (P < 0.05) after the initial samplings, whereas swabbing did not (P > 0.05). Linear models showed strong relationships, with a coefficient of determination (r2) of 0.81 (swabbing vs. grinding), 0.67 (swabbing vs. rinsing), and 0.70 (rinsing vs. grinding). Although the sampling methodologies investigated are reliable to determine true bacterial counts of tested samples, consistency and uniformity of sampling is required for the proper interpretation of the acquired results.
Collapse
Affiliation(s)
| | - Keelyn Hanlon
- Texas Tech University Department of Animal and Food Sciences
| | - Andrea English
- Texas Tech University Department of Animal and Food Sciences
| | - Kathleen Fermin
- Texas Tech University Department of Animal and Food Sciences
| | | | | |
Collapse
|
|
8
|
Janiszewski P, Borzuta K, Lisiak D, Bartodziejska B, Grześkowiak E, Królasik J, Poławska E. The quality of pork and the shelf life of the chosen carcass elements during storage depending on the method of carcass chilling. J FOOD PROCESS PRES 2017. [DOI: 10.1111/jfpp.13390] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Piotr Janiszewski
- Department of Meat and Fat Technology; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; ul. Głogowska 239, Poznań 60-111 Poland
| | - Karol Borzuta
- Department of Meat and Fat Technology; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; ul. Głogowska 239, Poznań 60-111 Poland
| | - Dariusz Lisiak
- Department of Meat and Fat Technology; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; ul. Głogowska 239, Poznań 60-111 Poland
| | - Beata Bartodziejska
- Department of Quality of Food; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; Al. Marszałka J. Piłsudskiego 84, Łódź 92-202 Poland
| | - Eugenia Grześkowiak
- Department of Meat and Fat Technology; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; ul. Głogowska 239, Poznań 60-111 Poland
| | - Joanna Królasik
- Department of Quality of Food; Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology; Al. Marszałka J. Piłsudskiego 84, Łódź 92-202 Poland
| | - Ewa Poławska
- Institute of Genetics and Animal Breeding of the Polish Academy of Sciences; Jastrzębiec, Postępu 36A, Wólka Kosowska 05-552 Poland
| |
Collapse
|
|
9
|
Badoni M, Klassen MD, Wang H, Youssef MK, Devos J, Gill CO, Yang X. Development and testing of a prototype automatic trim sampler. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
|
10
|
Alonso-Calleja C, Guerrero-Ramos E, Capita R. Hygienic Status Assessment of Two Lamb Slaughterhouses in Spain. J Food Prot 2017; 80:1152-1158. [PMID: 28598204 DOI: 10.4315/0362-028x.jfp-16-330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A total of 180 lamb carcasses and 200 inert surfaces were sampled in two commercial abattoirs (plants A and B) from northwest Spain. A higher (P < 0.001) average microbial load (log CFU per square centimeter) on lamb carcasses was observed for total viable counts (TVC; 2.74 ± 1.15) than for Enterobacteriaceae (2.21 ± 1.16). Different microbial counts were found on carcasses from plants A and B, both for TVC (2.56 ± 0.96 versus 3.18 ± 1.47, respectively; P < 0.001) and Enterobacteriaceae (2.09 ± 0.97 versus 2.50 ± 1.61, respectively; P < 0.05). High correlations (P < 0.001) were observed for TVC and Enterobacteriaceae in both plants A (r = 0.708) and B (r = 0.912). The percentages of unsatisfactory daily mean log values for carcasses, according to European Union Regulation (EC) No 2073/2005, were 0.0 (TVC) and 30.8 (Enterobacteriaceae) in plant A and 10.0 (TVC) and 40.0 (Enterobacteriaceae) in plant B. Average counts for inert surfaces were all lower than 10 CFU/cm2 (TVC) or 1 CFU/cm2 (Enterobacteriaceae). The need to improve hygienic practices in order to adhere to the European Union microbiological performance criteria is emphasized. The detected different microbial counts between slaughterhouses could be attributed to differences in external hygiene of livestock and in the number of slaughterhouse workers. Microbiological analysis of carcasses and surfaces allows detection of hygienic concerns in the overall process.
Collapse
Affiliation(s)
- Carlos Alonso-Calleja
- 1 Department of Food Hygiene and Food Technology, Veterinary Faculty, University of León, E-24071 León, Spain
| | - Emilia Guerrero-Ramos
- 2 Ministry of Health, Regional Government of Castilla y León, E-47071 Valladolid, Spain
| | - Rosa Capita
- 1 Department of Food Hygiene and Food Technology, Veterinary Faculty, University of León, E-24071 León, Spain
| |
Collapse
|
|
11
|
Trends in the microbial contamination of bovine, ovine and swine carcasses in three small-scale abattoirs in central Italy: A four-year monitoring. Meat Sci 2016; 111:53-9. [DOI: 10.1016/j.meatsci.2015.08.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 07/28/2015] [Accepted: 08/24/2015] [Indexed: 11/24/2022]
|
|
12
|
High-throughput assessment of bacterial ecology in hog, cow and ovine casings used in sausages production. Int J Food Microbiol 2015; 212:49-59. [PMID: 26003605 DOI: 10.1016/j.ijfoodmicro.2015.04.047] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 04/02/2015] [Accepted: 04/29/2015] [Indexed: 11/22/2022]
Abstract
Natural casings derived from different intestine portions have been used for centuries in the production of fresh and dry-fermented sausages. Here we analysed by means of culture-dependent methods and Illumina high-throughput sequencing of 16S rRNA amplicons the bacterial ecology of hog, cow and ovine casings at different stages of their preparation for sausages production. Several strains of Staphylococcus, Lactobacillus, Bifidobacterium, Vagococcus and Clostridium were counted, isolated and characterised at phylogenetic level. High-throughput sequencing analyses revealed a high bacterial diversity, which differed strongly between casings of different animal species. The technological processes involved in the preparation for casing had also a strong impact on the casings bacterial ecology, with a significant reduction of undesired microorganisms, and an increase in the proportion of lactobacilli and staphylococci. Natural casings were demonstrated to be complex ecological environments, whose role as microbiological inoculants in the production of sausages should not be underestimated.
Collapse
|