Evaluation of a norovirus detection methodology for ready-to-eat foods

Despite recent norovirus (NoV) foodborne outbreaks related to consumption of ready-to-eat (RTE) foods, a standardized assay to detect NoV in these foods is not available yet. Therefore, the robustness of a methodology for NoV detection in RTE foods was evaluated. The NoV detection methodology consisted of direct RNA extraction with an eventual concentration step, followed by RNA purification and a multiplex RT-qPCR assay for the detection of GI and GII NoV and the murine norovirus-1 (MNV-1), the latter used as process control. The direct RNA extraction method made use of the guanidine-isothiocyanate containing reagent (Tri-reagent?, Ambion) to extract viral RNA from the food sample (basic protocol called TriShort), followed by an eventual concentration step using organic solvents (extended protocol called TriConc). To evaluate the robustness of the NoV detection method, the influence of (1) the NoV inoculum level and (2) different food types on the recovery of NoV from RTE foods was investigated. Simultaneously, the effect of two RNA purification methods (manual RNeasy minikit (Qiagen) and automated NucliSens EasyMAG (BioMérieux)) on the recovery of NoV from these foods was examined. Finally, MNV-1 was evaluated as process control. First of all, high level GI and GII NoV inocula (~10? NoV genomic copies/10 g) could be recovered from penne salad samples (10 g) in at least 4 out of 6 PCRs, while low level GI and GII NoV inocula (~10? NoV genomic copies/10 g) could be recovered from this food product in maximally 3 out 6 PCRs, showing a significant influence of the NoV inoculum level on its recovery. Secondly, low level GI and GII NoV inocula (10? NoV genomic copies/10 g) were spiked onto 22 ready-to-eat food samples (10 g) classified in three categories (soups, deli sandwiches and composite meals). The GI and GII NoV inocula could be recovered from 20 of the 22 samples. The TriConc protocol provided better recoveries of GI and GII NoV for soups while the TriShort protocol yielded better results for the recovery of GII NoV from composite meals. NoV recovery from deli sandwiches was problematic using either protocol. Thirdly, the simultaneous comparison of two RNA purification protocols demonstrated that automated RNA purification performed equally or better compared to manual RNA extraction. Finally, MNV-1 was successfully evaluated as process control when detecting NoV in RTE foods using this detection methodology. In conclusion, the evaluated NoV detection method was capable of detecting NoV in RTE foods, although recoveries were influenced by the inoculum level and by the food type.     

Evaluation of an Extraction Method for the Detection of GI and GII Noroviruses in Fruit and Vegetable Salads

Human norovirus (HuNoV) is a major foodborne virus causing gastroenteritis outbreaks in humans. Salad products can be vectors of transmission for foodborne viruses such as HuNoV when these products are contaminated naturally or through unsanitary food handling. Therefore, development of simple, reliable and sensitive techniques for the detection of HuNoV in salad products is needed to ensure food safety. The purpose of our study was to optimize a method for the detection of HuNoV in artificially contaminated salad products. To this end, 2 different kinds of salads (fruit salads and vegetable salads) were experimentally inoculated with HuNoV GI, HuNoV GII, and MS2 suspensions. The selected method was based on treatment with pectinase followed by Trizol‐chloroform purification, and the recovery efficiencies were 6.07% to 26.52% for HuNoV GI and 5.54% to 37.36% for HuNoV GII. MS2 was used as the process control, and the recovery efficiencies for fruit salad and vegetable salad samples were 38.57% and 41.13%, respectively. The optimized method could be applied in diagnostic laboratories to identify NoV contamination in composite foods, such as salad products, should an event of foodborne outbreak occur.     

Persistence of caliciviruses on environmental surfaces and their transfer to food

The noroviruses (NoV) are a common cause of human gastroenteritis whose transmission by foodborne routes is well documented. Fecally contaminated surfaces are likely to contribute to this foodborne transmission and to the propagation of viral disease outbreaks. The purpose of this study was to (i) investigate the stability of NoV on various food preparation surfaces; and (ii) evaluate the degree of virus transfer from these surfaces to a model-ready-to-eat (RTE) food. For the virus persistence experiments, stainless steel, formica and ceramic coupons were artificially contaminated with Norwalk virus (NV), the prototype genogroup I NoV; NV RNA; or feline calicivirus (FCV) F9 (a NoV surrogate), stored at ambient temperature for up to 7 d, and periodically assayed for detection. In the transfer experiments, stainless steel coupons were inoculated with NV or FCV F9 and allowed to dry for 10, 30 and 60 min, after which lettuce leaves were exposed to the surface of the coupons at various contact pressures (10, 100, and 1000 g/9 cm2). Virus recovery was evaluated by RT-PCR (for NV and NV RNA) or by plaque assay (for FCV F9) using Crandell Reese Feline Kidney (CRFK) cells. NV and FCV were detected on all three surfaces for up to 7 d post-inoculation; for FCV, there was an approximate 6 to 7-log10 drop in virus titer over the 7 d evaluation period. By contrast, when stainless steel was inoculated with purified NV RNA, RT-PCR detection was not possible beyond 24 h. Transfer of both NV and FCV from stainless steel surfaces to lettuce occurred with relative ease. This study confirms lengthy NoV persistence on common food preparation surfaces and their ease of transfer, confirming a potential role for environmental contamination in the propagation of viral gastroenteritis.     

Detection of GI and GII noroviruses in drinking water and vegetables using filtration and real-time RT-PCR

The purpose of the study was to provide a rapid and sensitive method for detecting NoV GI and NoV GII in drinking water and vegetables. The method is based on viral concentration by microporous membrane adsorption method before RNA extraction and real-time RT-PCR amplification. Then water and vegetable samples which artificially contaminated with NoV GI and GII stool samples were used to determine the mean virus recoveries and the method sensitivity. The method showed the detection limit of NoV GI was 4.13 × 10² copies/500 mL for drinking water and 4.13 × 10³ copies/15 g for lettuce and coriander. The detection limit of NoV GII was 2.94 × 10¹ copies/500 mL for distilled water, 2.94 × 10² copies/500 mL for Mountain spring water and mineral water, and 2.94 × 10³ copies/15 g for lettuce and coriander. The method described provides a valuable tool for monitoring the potential public health risks associated with noroviruses contamination in drinking water and vegetables.     

Growth potential of Salmonella enterica in thirty-four different RTE vegetable salads during shelf-life

Thirty-four different ready-to eat (RTE) vegetable salads were inoculated with a cocktail of three Salmonella enterica strains, and stored under a modified atmosphere for up to 168 h at 4, 7, 12 and 16°C. Eighteen (18) of the salad samples comprised of two or more vegetable ingredients (also referred to as MV RTE salads), and 16 were made up of single vegetable ingredients (SV RTE salads). Generally, the growth potential of inoculated S. enterica varied depending on temperature and type of RTE vegetable salad. The higher temperature was generally more favourable for the growth of S. enterica. Among all 34 salad samples, 5, 11, 18 and 24 salad samples supported the growth of Salmonella at 4, 7, 12 and 16°C, respectively. All salads consisting of multiple vegetable ingredients except two: one comprised of carrots, lettuce and beetroot and another comprised of white cabbage and purple cabbage, supported the growth of Salmonella at high temperatures (either 12 or 16 or both 12 and 16°C). Although the growth of Salmonella was variable in the different types of RTE salads, and growth was generally low at 4°C, Salmonella exhibited consistently minimal growth in some vegetable salads such as those comprised of carrots, lettuce and beetroot, carrots, beetroots, cabbage and cucumber, as well as one comprised of beetroot and corn at all temperature conditions tested.     

Adhesion of human pathogenic enteric viruses and surrogate viruses to inert and vegetal food surfaces

Enteric viruses, particularly human Noroviruses (NoV) and hepatitis A virus (HAV), are key food-borne pathogens. The attachment of these pathogens to foodstuff and food-contact surfaces is an important mechanism in the human contamination process. Studies were done to investigate the nature of the physicochemical forces, such as hydrophobic and electrostatic ones, involved in the interaction virus/matrix but, at this day, only few data are available concerning surface properties of viruses and prediction of the adhesion capacity of one specific virus onto matrices is still very difficult. The purpose of this study was to propose a reference system, including a representative virus surrogate, able to predict as close as possible behaviour of pathogenic viruses in term of adhesion on inert (stainless steel and polypropylene) and food surfaces (lettuce leaves, strawberries and raspberries). The adhesion of human pathogenic enteric viruses, cultivable strain of HAV and non-cultivable strains of human NoV (genogroups I and II), have been quantified and compared to these of human enteric viruses surrogates, included the MNV-1 and three F-specific RNA bacteriophages (MS2, GA and Qβ). A standardized approach was developed to assess and quantify viral adhesion on tested matrices after a contact time with each virus using real-time RT-PCR. Methods used for virus recovery were in accordance with the CEN recommendations, including a bovine Enterovirus type 1 as control to monitor the efficiency of the extraction process and amplification procedure from directly extracted or eluted samples. The adhesion of human pathogenic viruses, ranging from 0.1 to 2%, could be comparable for all matrices studied, except for NoV GII on soft fruits. Adhesion percentages obtained for the studied surrogate virus and phages were shown to be comparable to those of HAV and NoV on inert and lettuce surfaces. The MNV-1 appeared as the best candidate to simulate adhesion phenomena of all human pathogenic enteric viruses on all studied surfaces, while MS2 and GA bacteriophages could be a good alternative as model of viral adhesion on inert and lettuce surfaces. These results will be usable to design relevant experimental systems integrating adhesion behaviour of enteric viruses in the assessment of the efficiency of a technological or hygienic industrial process.     

Upstream sample processing facilitates PCR detection of Listeria monocytogenes in mayonnaise-based ready-to-eat (RTE) salads

Sample pretreatment to reduce volume and concentrate cells of the target organism(s) prior to molecular detection offers a useful supplement or alternative to cultural enrichment. The purpose of this study was to develop an upstream processing method to facilitate the detection of Listeria monocytogenes in ready-to-eat (RTE) salads by PCR. Potato salad, a model RTE commodity, was seeded with L. monocytogenes and processed by two alternative upstream sample processing methods (designated one-step and two-step centrifugation), followed by DNA extraction, PCR amplification, and Southern hybridization. The two-step method resulted in 1,000-fold improvements in the PCR detection limit, from 10(6) Cfu/g (no sample processing) to 10(3) Cfu/g. The two-step method was applied for upstream sample processing of four representative deli salad items artificially inoculated with L. monocytogenes at levels ranging from 10(1)-10(6) Cfu/g. Following DNA extraction, PCR amplification, and Southern hybridization, detection was achieved at input levels of 10(5) Cfu/g for chicken salad, 10(4) Cfu/g for macaroni salad, and 10(3) Cfu/g for potato and seafood salads. The two-step method reported here facilitates the production of a final sample concentrate of reduced volume and improved purity which was compatible with PCR amplification. This approach offers further progress in our efforts to reduce or eliminate cultural enrichment in an effort to speed time to results when applying molecular methods to the detection of pathogens in foods.     

Enhanced immunomagnetic separation for the detection of norovirus using the polyclonal antibody produced with human norovirus GII.4-like particles

Human norovirus (NoV) is the most common cause of foodborne viral gastroenteritis worldwide. This study was aimed to develop the enhanced immunomagnetic separation (IMS) for effectively concentrating and detecting human noroviruses in food matrix. Virus-like particles (VLPs) were made by integrating NoV GII.4 capsid gene into baculovirus vector. In order to increase the sensitivity and specificity of immunomagnetic complex, polyclonal rabbit antibody against NoV GII.4 capsid was produced and used for producing immunomagnetic beads. IMS, polyethylene glycol precipitation, and ultrafiltration were compared to concentrate NoV spiked in vegetables. IMS was the most efficient method for concentrating NoV. Therefore, IMS developed in this study is the most effective method to concentrate and detect NoV contaminated in produce.     

Review: norovirus prevalence in Belgian, Canadian and French fresh produce: a threat to human health?

Foodborne viruses, especially noroviruses (NoV), are increasingly reported as the cause of foodborne outbreaks. NoV outbreaks have been reported linked to fresh soft red fruits and leafy greens. Belgium, Canada and France were the first countries to provide data about the prevalence of NoV on fresh produce. In total, 867 samples of leafy greens, 180 samples of fresh soft red fruits and 57 samples of other types of fresh produce (tomatoes, cucumber and fruit salads) were analyzed. Firstly, the NoV detection methodology, including virus and RNA extraction, real-time RT-PCR and quality controls were compared among the three countries. In addition, confirmation and genotyping of the NoV strains was attempted for a subset of NoV positive samples using conventional RT-PCR targeting an alternative region followed by sequencing. Analysis of the process control showed that 653, 179 and 18 samples of the leafy greens, soft red fruits and other fresh produce types were valid for analysis based on the recovery of the process control. NoV was detected by real-time RT-PCR in 28.2% (N = 641), 33.3% (N = 6) and 50% (N = 6) of leafy greens tested in Canada, Belgium and France, respectively. Soft red fruits were found positive by real-time RT-PCR in 34.5% (N = 29) and 6.7% (N = 150) of the samples tested in Belgium and France, respectively. 55.5% (N = 18) of the other fresh produce types, analyzed in Belgium, were found NoV positive by real-time RT-PCR. Conventional RT-PCR resulted in an amplicon of the expected size in 19.5% (52/266) of the NoV positive samples where this assay was attempted. Subsequent sequencing was only successful in 34.6% (18/52) of the suspected amplicons obtained by conventional RT-PCR. From this study, using the described methodology, NoV genomes were frequently detected in fresh produce however sequence confirmation was not successful for the majority of the samples tested. Infection or outbreaks were rarely or not known to be related to the NoV positive samples. With the increase in sensitivity of the detection methodology, there is an increasing concern about the interpretation of positive NoV results by real-time amplification. Strategies to confirm the results by real-time RT-PCR should be developed in analogy with the detection of microbial pathogens in foods. Detection might indicate contact with NoV in the fresh produce chain. Consequently, a potential risk for infection cannot be excluded but the actual risk from RT-PCR NoV positive produce is still unknown. Studies should be designed determining the probability of infection related to the presence or levels of NoV genomic copies.     

Evaluation of an extracting method for the detection of Hepatitis A virus in shellfish by SYBR-Green real-time RT-PCR

Consumption of virus-contaminated shellfish has caused numerous outbreaks of gastroenteritis and hepatitis worldwide. In the present study, we evaluated a rapid and simple extraction method to concentrate and purify enteric viruses from shellfish tissues for their detection by real-time RT-PCR. This procedure consists of an alkaline elution with a glycine buffer, solids removal by slow speed centrifugation, purification by chloroform extraction and virus concentration by ultracentrifugation. The efficiency of this method to recover Hepatitis A virus (HAV) from oysters seeded with this virus, was assessed by real-time RT-PCR and conventional RT-nested PCR after extracting viral RNA by a commercial isolation kit. Real-time RT-PCR yielded higher detection sensitivity than the obtained by conventional RT-nested PCR. Besides the improvements in detection sensitivity, the real-time RT-PCR, by quantifying HAV RNA, allowed to check the overall extraction procedure and the recovery efficiency after each processing step. After the last phase, i.e. virus concentration by ultracentrifugation, the RNA purity was high but the estimated HAV recovery efficiency was however low, probably due to virus losses and the presence of RT-PCR inhibitors in sample concentrates. In contrast, the HAV recovery percentage was higher after the virus elution step while the RNA purity was lower. Real-time RT-PCR detection could allow to eliminate some purification and concentration steps that are required for conventional RT-nested PCR detection. The overall procedure for detecting HAV could be then simplify avoiding virus losses during manipulation.