Simultaneous separation and detection of hepatitis A virus and norovirus in produce

Development and application of a quadruple RT-qPCR assay for the simultaneous detection of NoV GI, NoV GII, and HAV in bivalve shellfish

To achieve rapid and simultaneous detection of NoV GI, NoV GII, and HAV, a quadruple real-time fluorescence quantitative PCR (RT-qPCR) assay was developed using MS2 bacteriophage as a process control virus. The quadruple RT-qPCR assay effectively detected NoV GI, NoV GII, HAV, and MS2 RNA with detection limits of 102 copies/μL, 103 copies/μL, 102 copies/μL, and 103 copies/μL, respectively, within 1 hour 50 minutes. The quadruple RT-qPCR assay could specifically detect NoV GI, NoV GII, HAV, and MS2 without cross-reactions with other common pathogens, demonstrating good reproducibility with intra-assay and inter-assay coefficients of variation all below 2.11%. In this study, 337 bivalve shellfish samples collected from various regions of Hebei Province were pretreated using the proteinase K-PEG 8000 precipitation-chloroform method, and viral nucleic acids were enriched and extracted from a volume of viral solution that was doubled. The developed quadruple RT-qPCR assay was used to detect NoV GI, NoV GII, and HAV in bivalve shellfish samples, and the positive rates were 19.88% (67/337), 20.47% (69/337), and 4.75% (16/337), respectively. In addition, mixed infections of NoV GI and NoV GII (10.68%, 36/337) and NoV GI and HAV (0.89%, 3/337) were observed. In all, 200 bivalve shellfish samples were randomly selected for the assay, and it was found that the total, positive, negative coincidence rates, and Kappa values of the quadruple RT-qPCR assay were 98.3%, 99.1%, 98.2%, and 0.945, respectively, compared with the single RT-qPCR assay. These results show that the developed quadruple RT-qPCR assay has comparable performance to the single RT-qPCR assay.IMPORTANCEFood-borne diseases caused by viral contamination have become a growing concern, and bivalve shellfish is a crucial source of infection, with many outbreaks of non-bacterial acute gastroenteritis associated with raw food or the use of undercooked shellfish such as oysters. As food contamination problems caused by NoV and HAV become more severe, it is important to study and establish a sensitive and efficient assay to simultaneously detect NoV and HAV by applying the MS2 process control virus for the protection of bivalve shellfish food safety and the monitoring of the above food-borne viral contamination. In addition, bivalve shellfish samples contain a large number of PCR inhibitors such as polysaccharides, lipids, and proteins, so optimization of the virus enrichment and extraction method is essential and is expected to provide a research basis for subsequent related experiments.

Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review

Foodborne pathogens are a major public health concern and have a significant economic impact globally. From harvesting to consumption stages, food is generally contaminated by viruses, parasites, and bacteria, which causes foodborne diseases such as hemorrhagic colitis, hemolytic uremic syndrome (HUS), typhoid, acute, gastroenteritis, diarrhea, and thrombotic thrombocytopenic purpura (TTP). Hence, early detection of foodborne pathogenic microbes is essential to ensure a safe food supply and to prevent foodborne diseases. The identification of foodborne pathogens is associated with conventional (e.g., culture-based, biochemical test-based, immunological-based, and nucleic acid-based methods) and advances (e.g., hybridization-based, array-based, spectroscopy-based, and biosensor-based process) techniques. For industrial food applications, detection methods could meet parameters such as accuracy level, efficiency, quickness, specificity, sensitivity, and non-labor intensive. This review provides an overview of conventional and advanced techniques used to detect foodborne pathogens over the years. Therefore, the scientific community, policymakers, and food and agriculture industries can choose an appropriate method for better results.

Efficient capturing and sensitive detection of hepatitis A virus from solid foods (green onion, strawberry, and mussel) using protamine-coated iron oxide (Fe3O4) magnetic nanoparticles and real-time RT-PCR

Hepatitis A virus (HAV) continues to be a public health concern and has caused large foodborne outbreaks and economic losses worldwide. Rapid detection of HAV in foods can help to confirm the source of outbreaks in a timely manner and prevent more people getting infected. In order to efficiently detect HAV at low levels of contamination in foods, rapid and easy-to-use techniques are required to separate and concentrate viral particles to a small volume. In the current study, HAV particles were eluted from green onion, strawberry, and mussel using glycine buffer (0.05 M glycine, 0.14 M NaCl, 0.2% (v/v) Tween 20, pH 9.0) and suspended viral particles were captured using protamine-coated magnetic nanoparticles (PMNPs). This process caused a selective concentration of the viral particles, which could be followed by quantitative real-time RT-PCR analysis. Results showed that pH, NaCl concentration, and PMNP amount used for the capturing had significant effects on the recovery efficiency of HAV (P < 0.05). The highest recovery rate was obtained at pH 9.0, 0.14 M NaCl, and 50 μL of PMNPs. The optimized PMNP capturing method enabled the rapid capture and concentration of HAV. A sensitive real-time RT-PCR test was developed with detection limits of 8.3 × 10⁰ PFU/15 g, 8.3 × 10¹ PFU/50 g, and 8.3 × 10⁰ PFU/5 g of HAV in green onion, strawberry, and mussel, respectively. In conclusion, the PMNP method is rapid and convenient in capturing HAV from complex solid food samples and can generate concentrated HAV sample solutions suitable for high-sensitivity real time RT-PCR detection of the virus.

Extraction of human noroviruses from leafy greens and fresh herbs using magnetic silica beads

Consumption of leafy greens and to a lesser extent fresh herbs has been associated with several foodborne outbreaks including human norovirus (HuNoV). However, the extraction and detection of viruses from these matrices present multiple challenges such as low recovery yields and relatively high PCR inhibition. A new magnetic silica bead based (MSB) extraction protocol was developed and used to recover norovirus from leafy greens and fresh herbs. The performance results were compared to the ISO 15216-1:2017 standard. The HuNoV GII.4 and GI.5 recovery yields from spiked lettuce using the MSB extraction protocol range from 33 to 82%. There was a good correlation between murine norovirus (MNV) and HuNoV recovery yields from fresh herbs and leafy greens. No reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR) inhibition was detected from leafy green extracts using the MSB methodology. The selected commercial RT-qPCR detection kit had a major impact on RT-qPCR inhibition levels detected in the ISO 15216-1:2017 RNA extracts. RNase treatment was used to estimate genome recovery from HuNoV with intact capsids. This treatment resulted in similar HuNoV and MNV recovery yields. Between 2019 and 2020, the MSB protocol was used to conduct a survey of HuNoV in domestic and imported leafy greens and fresh herbs sold at retail in Canada. All of the 280 samples tested were negative. Overall, the use of MSB was shown to be an efficient approach to recover HuNoV from leafy greens and certain types of fresh herbs and to conduct surveys.

Norovirus Extraction from Frozen Raspberries Using Magnetic Silica Beads

Human noroviruses (HuNoV) are among the main causes of acute gastroenteritis worldwide. Frozen raspberries have been linked to several HuNoV food-related outbreaks. However, the extraction of HuNoV RNA from frozen raspberries remains challenging. Recovery yields are low, and real-time quantitative reverse transcriptase PCR (RT-qPCR) inhibitors limit the sensitivity of the detection methodologies. A new approach using fine magnetic silica beads was developed for the extraction of HuNoV spiked on frozen raspberries. Relatively low recovery yields were observed with both the magnetic silica bead and the reference ISO 15216-1:2017 methods. High RT-qPCR inhibition was observed with the ISO 15216-1:2017 recommended amplification kit but could be reduced by using an alternative kit. Reducing RT-qPCR inhibition is important to limit the number of inconclusive HuNoV assays thus increasing the capacity to assess the HuNoV prevalence in frozen raspberries.

Concentration of hepatitis A virus in milk using protamine-coated iron oxide (Fe3O4) magnetic nanoparticles

Hepatitis A virus (HAV) continues to be the leading cause of viral hepatitis. HAV outbreaks have been linked to the consumption of milk, but methods for HAV detection in milk are very limited. We developed a method to concentrate HAV in milk using protamine-coated iron oxide (Fe₃O₄) magnetic nanoparticles (PMNPs). In this study, protamine was covalently coated on the surface of the MNPs (20-30 nm) by a three-step chemical reaction. The successful linkage of protamine to the MNPs was confirmed by Fourier transform infrared spectroscopy (FTIR), zeta potential, and transmission electron microscopy (TEM). When used for concentrating HAV from 40 mL of milk, 50 μL of PMNPs were added to the sample and mixed for 20 min by gentle rotation, followed by a magnet capture for 30 min. The captured PMNPs were washed with glycine buffer (0.05 M glycine, 0.14 M NaCl, 0.2% (v/v) Tween 20, pH 9.0) and HAV RNA was extracted using the QIAamp MinElute Virus Spin Kit and quantified by real-time RT-PCR. The method showed a detection limit of 8.3 × 10⁰ PFU of HAV in milk. The whole concentration procedure could be completed in approximately 50 min. The developed method was simple, inexpensive, and easy-to-perform.

Detection Methodologies for Pathogen and Toxins: A Review

Pathogen and toxin-contaminated foods and beverages are a major source of illnesses, even death, and have a significant economic impact worldwide. Human health is always under a potential threat, including from biological warfare, due to these dangerous pathogens. The agricultural and food production chain consists of many steps such as harvesting, handling, processing, packaging, storage, distribution, preparation, and consumption. Each step is susceptible to threats of environmental contamination or failure to safeguard the processes. The production process can be controlled in the food and agricultural sector, where smart sensors can play a major role, ensuring greater food quality and safety by low cost, fast, reliable, and profitable methods of detection. Techniques for the detection of pathogens and toxins may vary in cost, size, and specificity, speed of response, sensitivity, and precision. Smart sensors can detect, analyse and quantify at molecular levels contents of different biological origin and ensure quality of foods against spiking with pesticides, fertilizers, dioxin, modified organisms, anti-nutrients, allergens, drugs and so on. This paper reviews different methodologies to detect pathogens and toxins in foods and beverages.

Multiplex qPCR for serodetection and serotyping of hepatitis viruses: A brief review

The present review describes the current status of multiplex quantitative real time polymerase chain reaction (qPCR) assays developed and used globally for detection and subtyping of hepatitis viruses in body fluids. Several studies have reported the use of multiplex qPCR for the detection of hepatitis viruses, including hepatitis A virus (HAV), hepatitis B virus (HBV), hepatitis C virus (HCV), hepatitis D virus (HDV), and hepatitis E virus (HEV). In addition, multiplex qPCR has also been developed for genotyping HBV, HCV, and HEV subtypes. Although a single step multiplex qPCR assay for all six hepatitis viruses, i.e., A to G viruses, is not yet reported, it may be available in the near future as the technologies continue to advance. All studies use a conserved region of the viral genome as the basis of amplification and hydrolysis probes as the preferred chemistries for improved detection. Based on a standard plot prepared using varying concentrations of template and the observed threshold cycle value, it is possible to determine the linear dynamic range and to calculate an exact copy number of virus in the specimen. Advantages of multiplex qPCR assay over singleplex or other molecular techniques in samples from patients with co-infection include fast results, low cost, and a single step investigation process.

Development of a Practical Method to Detect Noroviruses Contamination in Composite Meals

Various methods to detect foodborne viruses including norovirus (NoV) in contaminated food have been developed. However, a practical method suitable for routine examination that can be applied for the detection of NoVs in oily, fatty, or emulsive food has not been established. In this study, we developed a new extraction and concentration method for detecting NoVs in contaminated composite meals. We spiked NoV-GI.4 or -GII.4 stool suspension into potato salad and stir-fried noodles. The food samples were suspended in homogenizing buffer and centrifuged to obtain a food emulsion. Then, anti-NoV-GI.4 or anti-NoV-GII.4 rabbit serum raised against recombinant virus-like particles or commercially available human gamma globulin and Staphylococcus aureus fixed with formalin as a source of protein A were added to the food emulsion. NoV-IgG-protein A-containing bacterial complexes were collected by centrifugation, and viral RNA was extracted. The detection limits of NoV RNA were 10-35 copies/g food for spiked NoVs in potato salad and stir-fried noodles. Human gamma globulin could also concentrate other NoV genotypes as well as other foodborne viruses, including sapovirus, hepatitis A virus, and adenovirus. This newly developed method can be used as to identify NoV contamination in composite foods and is also possibly applicable to other foodborne viruses.

Assessment of microbiological contamination of fresh, minimally processed, and ready-to-eat lettuces (Lactuca sativa), Rio de Janeiro State, Brazil

This study aimed to assess the microbiological contamination of lettuces commercialized in Rio de Janeiro, Brazil, in order to investigate detection of norovirus genogroup II (NoV GII), Salmonella spp., total and fecal coliforms, such as Escherichia coli. For NoV detection samples were processed using the adsorption-elution concentration method associated to real-time quantitative polymerase chain reaction (qPCR). A total of 90 samples of lettuce including 30 whole fresh lettuces, 30 minimally processed (MP) lettuces, and 30 raw ready-to-eat (RTE) lettuce salads were randomly collected from different supermarkets (fresh and MP lettuce samples), food services, and self-service restaurants (RTE lettuce salads), all located in Rio de Janeiro, Brazil, from October 2010 to December 2011. NoV GII was not detected and PP7 bacteriophage used as internal control process (ICP) was recovered in 40.0%, 86.7%, and 76.7% of those samples, respectively. Salmonella spp. was not detected although fecal contamination has been observed by fecal coliform concentrations higher than 10(2) most probable number/g. E. coli was detected in 70.0%, 6.7%, and 30.0% of fresh, MP, and RTE samples, respectively. This study highlights the need to improve hygiene procedures at all stages of vegetable production and to show PP7 bacteriophage as an ICP for recovering RNA viruses' methods from MP and RTE lettuce samples, encouraging the evaluation of new protocols that facilitate the establishment of methodologies for NoV detection in a greater number of food microbiology laboratories.

PRACTICAL APPLICATION

The PP7 bacteriophage can be used as an internal control process in methods for recovering RNA viruses from minimally processed and ready-to-eat lettuce samples.

New developments in safety testing of soft fruits

The chapter begins by establishing the definition of soft fruit, then discusses microbial and chemical hazards that might be found in soft fruit. Methods developed for virus detection in soft fruit are reviewed and, finally, the factors that mainly affect virus detection are detailed as these pathogens are currently linked to outbreaks caused by soft fruit consumption.

Standardized multiplex one-step qRT-PCR for hepatitis A virus, norovirus GI and GII quantification in bivalve mollusks and water

A quadruplex Real-Time RT-PCR assay for the simultaneous quantitative detection of hepatitis A virus (HAV), norovirus (NoV) GI and GII, and mengovirus (used as process control for determination of the virus/nucleic acid extraction efficiency) has been developed. This multiplex assay has been comparatively evaluated with the individual monoplex assays and showed to be slightly less sensitive, with average ΔCq values of 0.90, 0.28 and 0.44 for HAV, NoV GI and NoV GII, respectively, in standard curves of viral RNA, or 0.32, 0.37 and 0.51 for the same viruses respectively, in naturally-contaminated samples. These ΔCq values were mostly negligible since it represented, in the worst case scenario, a loss of 0.43 log in genome copy numbers. The quadruplex assay shows similar theoretical detection limits than the monoplex assay for NoV GII, and 10 times higher for HAV and NoV GI. However, when naturally-contaminated food and water samples were tested, these theoretical detection thresholds were often exceeded and very low genome copy numbers (below the limit of detection) could be quantified. The quadruplex assay fulfills the requirements of the method developed by the European Committee on Standardization (CEN) for virus detection in selected foodstuffs with significant advantages in labor and reagent costs.

Environmental detection of genogroup I, II, and IV noroviruses by using a generic real-time reverse transcription-PCR assay

Norovirus is the most common agent implicated in food-borne outbreaks and is frequently detected in environmental samples. These viruses are highly diverse, and three genogroups (genogroup I [GI], GII, and GIV) infect humans. Being noncultivable viruses, real-time reverse transcription-PCR (RT-PCR) is the only sensitive method available for their detection in food or environmental samples. Selection of consensus sequences for the design of sensitive assays has been challenging due to sequence diversity and has led to the development of specific real-time RT-PCR assays for each genogroup. Thus, sample screening can require several replicates for amplification of each genogroup (without considering positive and negative controls or standard curves). This study reports the development of a generic assay that detects all three human norovirus genogroups on a qualitative basis using a one-step real-time RT-PCR assay. The generic assay achieved good specificity and sensitivity for all three genogroups, detected separately or in combination. At variance with multiplex assays, the choice of the same fluorescent dye for all three probes specific to each genogroup allows the levels of fluorescence to be added and may increase assay sensitivity when multiple strains from different genogroups are present. When it was applied to sewage sample extracts, this generic assay successfully detected norovirus in all samples found to be positive by the genogroup-specific RT-PCRs. The generic assay also identified all norovirus-positive samples among 157 archived nucleic acid shellfish extracts, including samples contaminated by all three genogroups.

Comparison of RNA extraction methods for the detection of a norovirus surrogate in ready-to-eat foods

Four nucleic acid extraction methods were evaluated for the purpose of quantifying a norovirus surrogate (murine norovirus [MNV-1]) concentrated from different food samples. Simple (strawberries and lettuce) and complex (sliced turkey breast, soft-shell clams, and potato salad) food matrices were inoculated with a viral suspension containing high (4×10(5) PFU) or low (4×10(3) PFU) numbers of viral particles. MNV-1 was eluted using either the Pulsifier™ or repetitive pipetting. The four methods were based on using magnetic silica (MiniMAG), non-magnetic silica (bioMérieux Basic kit), silica membrane (Qiagen kit), and phenol (TriReagent) for RNA extraction. The greatest recovery of viral RNA from simple matrices was obtained using magnetic silica for both inoculation levels. For strawberries, the addition of pectinase during the elution step improved RNA recovery when the Pulsifier was used with silica membrane extraction and when repetitive pipetting was used with magnetic silica extraction. In the case of complex matrices, the extraction of high or low numbers of MNV-1 was highest overall using magnetic silica. The exception was soft-shell clams with a high viral load, in which the greatest recovery was obtained with the phenol-based method. In general, magnetic silica was the most effective for extracting both high and low numbers of MNV-1 particles from a wide range of foods.

New approaches in microbial pathogen detection

Viruses are common causes of foodborne outbreaks. Viral diseases have low fatality rates but transmission to humans via food is important due to the high probability of consuming fecally contaminated food or water because of poor food handling. Because of the low infectious doses of some foodborne viruses, there is a need for standardization and the development of new sensitive methods for detecting viruses. The focus is on molecular and non-molecular approaches, and emerging methods for the detection of foodborne viruses. The detection of noroviruses, hepatitis A and E viruses, rotaviruses and adenoviruses will be discussed. The chapter will conclude with insights into future research directions.

Acute liver dysfunction in the course of norovirus gastroenteritis

A 48-year-old female with abdominal pain and malaise who showed delayed symptom of acute gastroenteritis came to see us. Her illness was diagnosed as norovirus infection, but liver dysfunction accompanied this gastroenteritis. We investigated the pathogenesis of this hepatitis for all causes including drugs, but we could not detect norovirus infection. The liver damage improved shortly in course of the gastroenteritis. She recovered completely within 2 weeks without any damage left. Norovirus-induced liver dysfunction is not known, and there is no report in the literature. We report, for the first time, the case of liver dysfunction with norovirus gastroenteritis.

Network analysis of the RASFF database: a mycotoxin perspective

Analysis of the Rapid Alert System for Food and Feed (RASFF) provides useful trend analyses such as identification of transgressor and detector nations, and determination of seasonal variations in contamination patterns. This approach may inform a nation's testing regimes along with trade intelligence to secure safe food supplies. The aim of this investigation was to explore the use of descriptive statistics coupled to network analysis to provide a user friendly approach to allow interrogation of the RASFF database. Categorisation of notifications by contaminant type reveals that some 30% of all notifications are generated owing to mycotoxins with aflatoxins being the major contributor. In the period between January 2008 and October 2010, the order of nations reported for mycotoxin contamination appeared in the order Turkey, China, Iran and USA. Network analysis allows rapid determination of trends in the RASFF database as each contaminant type can be filtered to focus on nations acting as transgressors and detectors. In addition, the impact of each nation can be assigned as the network tool incorporates a consideration of frequency counts as well as number of countries involved. This approach rapidly identifies the key detectors and transgressors, confirming Turkey, China and Iran as key transgressor nations for mycotoxins. Changes over time, during the assessment period, reveal that Iran is improving in the longer term in contrast to Turkey and China where further remedial action is warranted. In summary, a network tool has several advantages over descriptive statistics. It can rapidly identify trends in detector and transgressor nations for each category of contaminant. It can also provide an impact score for each nation providing weekly updates to help identify emerging issues either as nations and/or contaminant type.

A duplex real-time RT-PCR assay for the simultaneous genogroup-specific detection of noroviruses in both clinical and environmental specimens

Norovirus (NoV) is the major etiological agent causing foodborne and waterborne outbreaks worldwide. We developed a novel duplex real-time quantitative RT-PCR assay designed for the simultaneous detection of and discrimination between NoV genogroups GI and GII, by targeting the short junction region between ORF1 and ORF2, with sensitivity and efficiency comparable to those of each simplex RT-PCR assay. This new duplex assay was evaluated against clinical stool (n = 82) and environmental (groundwater or surface water, n = 60) specimens from South Korea, and the results were compared with those of conventional RT-PCR (cRT-PCR) assays. The duplex assay detected more positive samples than did the cRT-PCR for both clinical (74 vs. 71) and, more strikingly, environmental (24 vs. 10) specimens. No cross-reactivity against specimens containing other enteric viruses such as rotavirus, adenovirus, and poliovirus were observed. These results suggest that this newly developed duplex real-time RT-PCR assay can be used for the sensitive and simultaneous genogroup-specific detection of NoV in both clinical and environmental specimens.

Simultaneous recovery of bacteria and viruses from contaminated water and spinach by a filtration method

Water and leafy vegetables eaten fresh are increasingly reported as being involved in food-borne illness cases. The pathogenic agents responsible for these infections are mainly bacteria and viruses and are present in very small quantities on the contaminated food matrices. Laboratory techniques used to isolate or detect the contaminating agent differ enormously according to the type of microorganisms, generating time and economical losses. The purpose of this study was to optimize a single method which allows at the same time the recovery and concentration of these two main types of pathogenic organisms. Water and spinach samples were artificially contaminated with the feline calicivirus (FCV), rotavirus, hepatitis A virus (HAV), Escherichia coli, Listeria monocytogenes, Campylobacter jejuni and Salmonella Typhimurium. The principle behind the recovery technique is based on the use of a positively charged membrane which adsorbs both viruses and bacteria present in the water or in the rinse from the vegetables. Using conventional microbiology, PCR and RT-PCR, this filtration technique allowed a detection level superior to 10² CFU/g for S. Typhimurium, E. coli, L. monocytogenes and C. jejuni and to 10¹ PFU/g for FCV, HAV and rotavirus. This combined method can also be applied to other bacterial and viral species for the identification of the responsible agent for food-borne illnesses.