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Trudel-Ferland M, Levasseur M, Goulet-Beaulieu V, Jubinville E, Hamon F, Jean J. Concentration of foodborne viruses eluted from fresh and frozen produce: Applicability of ultrafiltration. Int J Food Microbiol 2024; 416:110687. [PMID: 38554558 DOI: 10.1016/j.ijfoodmicro.2024.110687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/01/2024]
Abstract
Foodborne illnesses involving raw and minimally processed foods are often caused by human noroviruses (HuNoV) and hepatitis A virus (HAV). Since food is contaminated usually with small numbers of virions, these must be eluted from the food surface and then concentrated for detection. The objective of this study was to optimize an ultrafiltration (UF) concentration method for HAV and HuNoVs present on various fresh and frozen produce. The detection range of the optimized method and its applicability to different food matrices was compared to the reference method ISO 15216-1:2017. Strawberry, raspberry, blackberry, lettuce, and green onion (25 g) were contaminated with HAV, HuNoV GI.7 and HuNoV GII.4 and then recovered therefrom by elution. A commercial benchtop UF device was used for the concentration step. Viral RNA was extracted and detected by RT-qPCR. From fresh strawberries, recovery of HAV loaded at 104 genome copies per sample was 30 ± 13 %, elution time had no significant impact, and UF membrane with an 80-100 kDa cut-off in combination with Tris-glycine elution buffer at pH 9.5 was found optimal. At lower copy numbers on fresh strawberry, at least 1 log lower numbers of HuNoV were detectable by the UF method (103 vs 104 GII.4 copies/sample and 101 vs 103 GI.7 copies/sample), while HAV was detected at 101 genome copies/sample by both methods. Except on raspberry, the UF method was usually equivalent to the ISO method regardless of the virus tested. The UF method makes rapid viral concentration possible, while supporting the filtration of large volume of sample. With fewer steps and shorter analysis time than the ISO method, this method could be suitable for routine analysis of viruses throughout the food production and surveillance chain.
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Affiliation(s)
- Mathilde Trudel-Ferland
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, QC, Canada
| | - Marianne Levasseur
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, QC, Canada
| | - Valérie Goulet-Beaulieu
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, QC, Canada
| | - Eric Jubinville
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, QC, Canada
| | | | - Julie Jean
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, QC, Canada.
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Recent (2011-2017) foodborne outbreak cases in the Republic of Korea compared to the United States: a review. Food Sci Biotechnol 2021; 30:185-194. [PMID: 33732509 DOI: 10.1007/s10068-020-00864-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/01/2020] [Accepted: 12/11/2020] [Indexed: 12/17/2022] Open
Abstract
This study analyzes and compares foodborne disease outbreaks reported in the Republic of Korea (KR) and the United States (US) during 2011-2017. The foodborne outbreaks data in the KR and the US were collected from the Ministry of Food and Drug Safety and from the Surveillance for Foodborne Disease Outbreaks United States, respectively. The average number of outbreaks and illness population were higher in the US than in the KR, but the KR's illness ratio considering population size was 2.4 times higher than that of the US. When the sites of outbreaks compared, the number of illness was the highest at schools in the KR whereas outbreaks at restaurants were more frequent in the US. In the KR, bacterial infections were the primary cause of outbreaks while bacterial and viral infections accounted for the largest share of outbreaks in the US. Specifically, pathogenic E. coli presented a significant risk in the KR whereas Salmonella was the most prevalent in the US. These results indicate that the main microbiological targets for detection and control in the KR should differ from the US, which should be considered for developing food safety related policies.
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Detection of norovirus, hepatitis A and hepatitis E viruses in multicomponent foodstuffs. Int J Food Microbiol 2020; 337:108931. [PMID: 33188986 DOI: 10.1016/j.ijfoodmicro.2020.108931] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 10/16/2020] [Accepted: 10/20/2020] [Indexed: 11/21/2022]
Abstract
Among the enteric viruses implicated in foodborne outbreaks, the human norovirus and hepatitis viruses A and E (HAV and HEV) represent a serious public health concern. International standard ISO 15216 proposes methods for detecting HAV and norovirus (genogroups I and II) RNA from soft fruit, leaf, stem and bulb vegetables, bottled water or food surfaces. These methods had not previously been validated for detecting the targeted viruses in other foodstuffs such as multicomponent foods, nor for detecting other viruses in foodstuffs. The aim of this study was to characterise a method derived from the vegetable method described in ISO 15216 to detect HAV, HEV and norovirus in artificially-contaminated multicomponent foodstuffs according to the recent international standard ISO 16140-4. Results showed that the mean recovery rates for all settings did not differ according to the operator. The mean extraction yields ranged from 0.35% to 40.44% for HAV, 5.19% to 100% for HEV, 0.10% to 40.61% for norovirus GI and 0.88% to 69.16% for norovirus GII. The LOD95 was 102 genome copies/g for HAV, HEV and norovirus GII and 103 genome copies/g for norovirus GI. The LOQ was 2.90 × 104, 1.40 × 103, 1.60 × 104 and 1.30 × 104 genome copies/g for HAV, HEV, norovirus GI and norovirus GII respectively. The MNV-1 process control was detected in 120 out of 128 RNA extracts analysed and was recovered with an efficiency of between 3.83% and 50.22%. The mean inhibition rates of quantitative real-time RT-PCR reaction ranged from 3.25% to 28.70% and varied significantly with the type of food matrix. The described method could be used to detect viruses in composite food products for routine diagnosis needs.
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Yu C, Hida K, Papafragkou E, Kulka M. Evaluation of U.S. Food and Drug Administration Enteric Viruses Microarray for Detection of Hepatitis A Virus and Norovirus in Inoculated Tomatoes, Green Onions, and Celery. J Food Prot 2020; 83:1576-1583. [PMID: 32379890 DOI: 10.4315/jfp-19-574] [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: 11/27/2019] [Accepted: 05/03/2020] [Indexed: 11/11/2022]
Abstract
ABSTRACT Foodborne viral contamination of fresh produce has been associated with numerous outbreaks. Detection of such contaminated foods is important in protecting public health. Here, we demonstrate for the first time the capability of the U.S. Food and Drug Administration Enteric Viruses tiling microarray (FDA-EVIR) to perform rapid molecular identification of hepatitis A virus (HAV) and human norovirus extracted from artificially inoculated fresh produce. Two published viral extraction strategies, total RNA extraction or virus particle isolation, were used to prepare the viral targets. The total RNA extraction method was used on material eluted from tomatoes, using an alkaline Tris-glycine-beef extract (TGBE) buffer. Optimization procedures including DNase treatment and poly(A)-RNA enrichment were adopted to improve microarray sensitivity. For green onions or celery, material was eluted using either glycine buffer or TGBE buffer supplemented with pectinase, respectively, and then virus particles were concentrated by ultracentrifugation. We also assessed the amount of viral RNA extracted from celery using three commercially available kits and how well that RNA performed on FDA-EVIR. Our results confirm that FDA-EVIR can identify common enteric viruses isolated from fresh produce when present as either a single or mixed species of viruses. Using total RNA extraction from tomatoes yielded a limit of detection of 1.0 × 105 genome equivalents (ge) of HAV per array input. The limit of detection for viral RNA obtained using ultracentrifugation was 1.2 × 105 ge of HAV from green onions and 1.0 × 103 ge of norovirus from celery per array input. Extending microarray methods to other food matrices should provide important support to surveillance and outbreak investigations. HIGHLIGHTS
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Affiliation(s)
- Christine Yu
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Applied Research and Safety Assessment, Division of Molecular Biology, 8301 Muirkirk Road, Laurel, Maryland 20708, USA (ORCID: https://orcid.org/0000-0003-0731-7118 [C.Y.])
| | - Kaoru Hida
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Applied Research and Safety Assessment, Division of Molecular Biology, 8301 Muirkirk Road, Laurel, Maryland 20708, USA (ORCID: https://orcid.org/0000-0003-0731-7118 [C.Y.])
| | - Efstathia Papafragkou
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Applied Research and Safety Assessment, Division of Molecular Biology, 8301 Muirkirk Road, Laurel, Maryland 20708, USA (ORCID: https://orcid.org/0000-0003-0731-7118 [C.Y.])
| | - Michael Kulka
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Applied Research and Safety Assessment, Division of Molecular Biology, 8301 Muirkirk Road, Laurel, Maryland 20708, USA (ORCID: https://orcid.org/0000-0003-0731-7118 [C.Y.])
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Randazzo W, Vásquez-García A, Bracho MA, Alcaraz MJ, Aznar R, Sánchez G. Hepatitis E virus in lettuce and water samples: A method-comparison study. Int J Food Microbiol 2018; 277:34-40. [PMID: 29680694 DOI: 10.1016/j.ijfoodmicro.2018.04.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 03/02/2018] [Accepted: 04/02/2018] [Indexed: 12/27/2022]
Abstract
The hepatitis E virus (HEV), which is an increasing cause of acute viral hepatitis in Europe, is a zoonotic virus that is mainly transmitted through contaminated water, consumption of raw or undercooked meat from pigs or wild boar, blood transfusion, and organ transplantation. Although the role of HEV transmission through contaminated produce has not been confirmed, the presence of HEV has been reported in irrigation waters and in vegetables. The present study used a World Health Organization (WHO) international standard and clinical samples to evaluate the performance characteristics of three RT-qPCR assays for detection and quantification of HEV. Two of the evaluated assays provided good analytical sensitivity, as 250 international units (IU) per ml could be detected. Then, experiments focused on evaluating the elution conditions suitable for HEV release from vegetables, with the method proposed by the ISO 15216:2017 selected for evaluation in three types of fresh vegetables. The concentration method proposed by the ISO 15216:2017 combined with the RT-qPCR described by Schlosser et al. (2014) resulted in average HEV recoveries of 1.29%, 0.46%, and 3.95% in lettuce, spinach, and pepper, respectively, with an average detection limit of 1.47 × 105 IU/25 g. In naturally contaminated samples, HEV was detected in sewage only (10/14), while no detection was reported in lettuce (0/36) or in irrigation water samples (0/24).
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Affiliation(s)
- Walter Randazzo
- Department of Microbiology and Ecology, University of Valencia, Av. Dr. Moliner, 50, 46100 Burjassot, Valencia, Spain; Department of Preservation and Food Safety Technologies, IATA-CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, Spain
| | - Andrea Vásquez-García
- Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, 13635-900 Pirassununga, São Paulo, Brazil
| | - Maria A Bracho
- Joint Research Unit in Infection and Public Health, FISABIO-Public Health - University of Valencia, Av. Catalunya, 21, 46020, Valencia, Spain; CIBER Epidemiología y Salud Pública, Valencia, Spain
| | - María Jesús Alcaraz
- Microbiology Service, Hospital Clínico Universitario, Av. Blasco Ibañez, 17, 46010, Valencia, Spain
| | - Rosa Aznar
- Department of Microbiology and Ecology, University of Valencia, Av. Dr. Moliner, 50, 46100 Burjassot, Valencia, Spain; Department of Preservation and Food Safety Technologies, IATA-CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, Spain
| | - Gloria Sánchez
- Department of Preservation and Food Safety Technologies, IATA-CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, Spain.
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Shukla S, Cho H, Kwon OJ, Chung SH, Kim M. Prevalence and evaluation strategies for viral contamination in food products: Risk to human health-a review. Crit Rev Food Sci Nutr 2017; 58:405-419. [PMID: 27245816 DOI: 10.1080/10408398.2016.1182891] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Nowadays, viruses of foodborne origin such as norovirus and hepatitis A are considered major causes of foodborne gastrointestinal illness with widespread distribution worldwide. A number of foodborne outbreaks associated with food products of animal and non-animal origins, which often involve multiple cases of variety of food streams, have been reported. Although several viruses, including rotavirus, adenovirus, astrovirus, parvovirus, and other enteroviruses, significantly contribute to incidence of gastrointestinal diseases, systematic information on the role of food in transmitting such viruses is limited. Most of the outbreak cases caused by infected food handlers were the source of 53% of total outbreaks. Therefore, prevention and hygiene measures to reduce the frequency of foodborne virus outbreaks should focus on food workers and production site of food products. Pivotal strategies, such as proper investigation, surveillance, and reports on foodborne viral illnesses, are needed in order to develop more accurate measures to detect the presence and pathogenesis of viral infection with detailed descriptions. Moreover, molecular epidemiology and surveillance of food samples may help analysis of public health hazards associated with exposure to foodborne viruses. In this present review, we discuss different aspects of foodborne viral contamination and its impact on human health. This review also aims to improve understanding of foodborne viral infections as major causes of human illness as well as provide descriptions of their control and prevention strategies and rapid detection by advanced molecular techniques. Further, a brief description of methods available for the detection of viruses in food and related matrices is provided.
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Affiliation(s)
- Shruti Shukla
- a Department of Food Science and Technology , Yeungnam University , Gyeongsan-si , Gyeongsangbuk-do , Republic of Korea.,b Department of Energy and Materials Engineering , Dongguk University , Seoul , Republic of Korea
| | - Hyunjeong Cho
- c Experiment and Research Institute, National Agricultural Products Quality Management Service , Gimcheon-si , Gyeongsangbuk-do , Republic of Korea
| | - O Jun Kwon
- d Evaluation Team, Gyeongbuk Institute for Regional Program Evaluation , Gyeongsan-si , Gyeongsangbuk-do , Republic of Korea
| | - Soo Hyun Chung
- e Department of Integrated Biomedical and Life Science , Korea University , Seoul , Republic of Korea
| | - Myunghee Kim
- a Department of Food Science and Technology , Yeungnam University , Gyeongsan-si , Gyeongsangbuk-do , Republic of Korea
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Sánchez G, Sánchez G. Food and Viral Contamination: Analytical Methods. Food Saf (Tokyo) 2016. [DOI: 10.1002/9781119160588.ch10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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8
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Rapid Methods for Quality Assurance of Foods: the Next Decade with Polymerase Chain Reaction (PCR)-Based Food Monitoring. FOOD ANAL METHOD 2014. [DOI: 10.1007/s12161-014-9915-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Gensberger ET, Kostić T. Novel tools for environmental virology. Curr Opin Virol 2012; 3:61-8. [PMID: 23246441 DOI: 10.1016/j.coviro.2012.11.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Revised: 11/07/2012] [Accepted: 11/16/2012] [Indexed: 02/01/2023]
Abstract
Routine monitoring of relevant environmental viruses is of great importance for public health and quality assessment. Even though cell culture (i.e., viral infectivity assay) is still regarded as the golden standard, use of new strategies based on the molecular techniques significantly increased in the past years. Specific and rapid detection are main advantages of this alternative approach. Furthermore, integration of cell culture or propidium monoazide treatment with nucleic acid amplification allows for the differentiation of infectious particles. Additional recently reported approaches for the detection of viruses include, among others, whole transcriptome amplification and cell culture combined with Fourier transform infrared spectroscopy. Noteworthy is also the fact, that regardless of the selected detection method, sample preparation still remains the major bottleneck.
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Affiliation(s)
- Eva Theres Gensberger
- AIT Austrian Institute of Technology GmbH, Bioresources Unit, Konrad-Lorenz Strasse 24, A-3430 Tulln, Austria
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