Next Article in Journal
Influence of Masonry Infills on Seismic Performance of an Existing RC Building Retrofitted by Means of FPS Devices
Previous Article in Journal
Prevalence and Clinical Consideration of Anatomical Variants of the Splenic Artery: A Systematic Review and Meta-Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Antiviral Efficacy of Dielectric Barrier Discharge Plasma against Hepatitis A Virus in Fresh Oyster Using PMA/RT-qPCR

1
Institute of Marine Industry, Department of Seafood Science and Technology, Gyeongsang National University, Tongyeong 53064, Republic of Korea
2
West Sea Fisheries Research Institute, National Institute of Fisheries Science, Incheon 22383, Republic of Korea
3
Research Center for Industrial Development of Seafood, Gyeongsang National University, Tongyeong 53064, Republic of Korea
4
Department of Food and Nutrition, Gyeongsang National University, Jinju 52828, Republic of Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2023, 13(6), 3513; https://doi.org/10.3390/app13063513
Submission received: 19 January 2023 / Revised: 4 March 2023 / Accepted: 7 March 2023 / Published: 9 March 2023
(This article belongs to the Section Food Science and Technology)

Abstract

:
The hepatitis A virus (HAV), which can be a threat to humans, can be found in oysters. Oysters need sterilization technology that does not cause quality changes because they are eaten raw. Therefore, in this study, antiviral effects and quality changes were conducted using dielectric barrier discharge plasma (DBDP). Total titers of non-PMA- and PMA-treated suspensions of HAV were reduced to 0.20–1.05 and 0.35–1.49 log10 copies/μL, respectively, after DBDP 10–60 min treatment. HAV titers on oysters were reduced to 0.20–1.11 and 0.33–1.33 log10 copies/μL, respectively, after identical an DBDP treatment of the non-PMA- and PMA-treated oysters. The HAV titers were revealed as 0.295 (=[0.25 for 30 min + 0.34 for 60 min]/2) and 0.22 (for 60 min) log10-reduction in PMA-treated suspensions and oysters, respectively, compared with the non-PMA-treated suspensions and oysters. The D1 of DBDP in PMA-treated suspensions and oysters were 39.99 and 46.73 min, respectively. There was no difference in the pH of oysters after DBDP treatment compared to the non-treated control. There were some changes in the hardness of the DBDP-treated oysters, which was due to oyster individual differences rather than the DBDP treatment. In conclusion, DBDP treatment did not affect oyster quality and PMA was able to distinguish HAV infectivity.

1. Introduction

The hepatitis A virus (HAV) is a single-stranded RNA virus without an envelope that belongs to the family Picornaviridae [1]. HAV infection is mainly caused by exposure to contaminated food or water. Around the word, 100 million peopled are infected with HAV every year, and the resulting death toll is about 15,000–30,000 [2]. HAV is resistant to many environmental factors [3], and several studies have reported that HAV can survive for a long time outside the host and underwater, and remain contagious for at least 9 months [4]. It is also found in various foods such as shellfish [5,6], dairy products [7], vegetables and fruits [8,9], and food-borne HAV can infect humans through oral intake.
HAV infection can occur through the intake various foods and also through marine foods [10]. Since 1962, infections of shellfish have been regularly reported [11], and the outbreak areas are diverse, including Korea [12], Japan [13], China [14], Spain [15], and Australia [16]. Oyster (Crassostrea gigas) is a nutritious food with low fat content and large amounts of high-quality protein, taurine, vitamins, iron, and zinc [17,18]. However, oyster farms are adjacent to land, so they can be easily contaminated by waste and wastewater coming down from the land [19]. Additionally, Bivalvia, such as oysters and mussels, consume floating plankton through filterfeeding; therefore, harmful microbiological can easily accumulate in digestive tissues [20]. Oysters in particular are considered primary vectors of HAV [21]. Therefore, to ensure sanitary safety, specific procedures are required due to the culinary features of oysters and the high intake rate of raw oysters.
Heat sterilization, a traditionally used sterilization technique, is still frequently used in the food industry [22]. One of the greatest benefits of heat sterilization is that it allows the production of foods with extremely long shelf lives. Although it is an effective method for eliminating germs such as bacteria and viruses, it can alter food quality [23]. Patel et al. [24] reported that heat sterilization changed the color and vitamin C in the content of food, and Hu et al. [25] also reported that the heat sterilization of apple juice changed its quality and functional aspects, as opposed to non-thermal sterilization. Recently, non-thermal sterilization technology using plasma, which can overcome the disadvantage of heat sterilization, has been in the spotlight. Plasma is defined as the fourth state of matter and includes active species such as electrons, cations, anions, free radicals, and ultraviolet photons [26]. These active species diffuse through the cell membrane, react with lipids and proteins in the cell membrane and intracellular DNA, and damage the cells [27,28]. One such method, atmospheric dielectric barrier discharge plasma (DBDP), which is produced under atmospheric pressure at room temperature, as opposed to being produced in a vacuum, and can be treated at temperatures below 35 °C, is gaining attention as a new method of food sterilization because it is a non-thermal method that does not alter the protein content or the quality and functional properties of food.
Therefore, our study investigated the anti-HAV effect of DBDP treatment in seafood. In addition, real-time polymerase chain reaction (RT-qPCR) was used for a quantitative analysis of HAV, and propidium monoazide (PMA) was used to detect viable viruses.

2. Materials and Methods

2.1. Preparation of HAV

HAV was purchased from a Korean Bank for Pathogenic Viruses (KBPV, Seoul, Republic of Korea) and delivered in a frozen state with an ice pack. The LLC-MK2 cell line was cultured for 5–8 days under 5% CO2 conditions of 37 °C in a 2% phosphate-buffered saline Dulbecco’s modified Eagle’s medium (DMEM). The viral cell line was made in a stock containing a 2% PBS (factor 8.0 × 107 pfu/mL; pH 7.4).

2.2. HAV Inoculation of Suspension and Oysters

A suspension was prepared using a phosphate-buffered saline (PBS) solution. HAV 20 μL and PBS 80 μL were mixed when making suspension. It was then placed in a clean bench (CHC Lab Co., Ltd., Dajeon, Republic of Korea) for 1 h.
The oysters (Crassostrea gigas) used in this experiment came from an oyster farm (S Company in Geoje, Gyeongsangnam-do, Republic of Korea). The size of the oysters used in this experiment was 25–35 mm, and for freshness, they were washed with clean water immediately after receiving them, and the shells were removed. The midguts of the oysters were collected with sterilized tweezers and scissors, and homogenized using a homogenizer (Daihan Scientific Co., Wonju, Republic of Korea). Thereafter, 3 g per sample was divided into Petri dishes (30 × 30, L × W mm) and analyzed. Each divided sample was inoculated with 20 μL of HAV and placed in a clean bench (CHC Lab Co., Ltd., Daejeon, Republic of Korea) for 1 h.

2.3. Atmospheric DBDP Treatment

For atmospheric DBDP treatment, a DBDP device (μ-DBD Surface Plasma Generator, Model; Micro DBD Plasma) was used in this study. The method of using DBDP was demonstrated by Ryu et al. [29]. To generated DBDP, nitrogen gas supplied to a polylactic acid (PLA; Ultimaker, Utrecht, The Netherlands) cover at a flow of 1.5 L/m (liter per min), and plasma was generated on the rear glass surface between the glass and the mesh. As the dielectric, circular soda glass (diameter: 80 mm, thickness: 18 mm) was used. Circular soda glass (diameter: 80 mm, thickness: 18 mm) was used as a dielectric. In order to generate plasma, a mesh consisting of an upper silver electrode and a lower stainless steel was attached to the back of the glass and used as a counter electrode. The frequency was 43 kHz, the voltage was measured to be about 1 kV, the peak discharge current of the cycle was 7.7 μJ, and energy per second was measured to be 0.12 J/s. During the experiment, the distance between the plasma device and the sample was maintained at 3 mm. Samples were treated with DBDP for 5, 10, 20, 30, and 60 min.

2.4. Propidium Monoazide Staining

Propidium monoazide (Biotium, Hayward, CA, USA) was used to detect infectious HAV. The method of using PMA dye was performed by Jung et al. [30]. First, PMA 7 μM, which is 1% of the capacity, was mixed with the sample solution (700 μL) that went through the pretreatment process. It was then placed in a dark room at room temperature for 10 min to allow the dye of the mixture to penetrate the cells, and the front and rear surfaces were exposed to 460 nm wavelengths of 40 W LED lights (Dynebio, Seongnam, Republic of Korea) for 10 min to activate the light. To confirm the effectiveness of the PMA treatment using RT-qPCR, the control was not treated with PMA.

2.5. RNA Extraction of HAV

The RNA extraction of HAV was isolated and purified using the QIAamp virus RNA mini kit (Qiagen, Hilden, Germany). Proteinase K was used according to the ISO 1f5216-1:2017 method. Proteinase K (Sigma, St. Louis, MO, USA) was added to the samples, incubated in a shaker at 37 °C for 1 h, and then deactivated in a 60 °C water bath for 15 min. Then, the sample was centrifuged at 4695× g, for 10 min at 4 °C (SUPRA22K; Hanil Science Industrial Co., Gimpo, Republic of Korea), and a clear supernatant containing viral RNA (approximately 3 mL) was collected in a sterilized conical tube.

2.6. Quantitative Analysis of HAV Using RT-qPCR

For a quantitative analysis of HAV, the RNeasy mini-kit (Qiagen, Hilden, Germany) was used. The mixture used for HAV gene amplification was prepared using RNase-free water, 5× RT-PCR buffer, 10 mM dNTP, 10 μM primer, 10 μM probe, enzyme mix (5 units/μL), and suspension (5 units/μL). The total volume used in the experiment was 25 μL, including 5 μL of RNA, and 20 μL of mixture, and real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed in TP800-Thermal Cycler Dice Real-Time System (Takara). Primers and probes were prepared for the overlapping regions of HAV to increase sensitivity and specificity. The sequences of the primers and probes are shown in Table 1.

2.7. Determination of Decimal Reduction Times (D-Values) through First-Order Kinetic Model

The D-value is the treatment time required for a reduction of 1 log copies/μL (>90%). The formula for calculating the D-value and its explanation is as follows:
log N 0 N = k 2.303 · t
N0 = initial HAV titer (log copies/μL); N = HAV titer after DBDP treatment (log copies/μL); t = DBDP treatment time (min); k = reduction rate constant.

2.8. pH Value and Hardness Measurement

The pH measurement of the oysters was demonstrated by the Choi et al. [31] method. To measure the pH, 5 g of each oyster sample and 45 mL of diluted water were mixed and stirred for 5 min. The pH was measured three times using a pH meter (Orion Star A211, Thermo Scientific, Waltham, MI, USA).
The hardness measurements were performed using a CT3 texture analyzer (Brookfield Engineering Laboratories Inc., Middleboro, MA, USA) after the oysters were treated with DBDP. ‘Hardness’ was measured in the texture profile analysis (TPA) mode. The measurement conditions were: probe, stainless steel probe-type TA18 12.7 mm; test speed, 1.0 mm/s; force threshold, 20 g; distance threshold, 0.50 mm; compression limit, 50% deformation. The results were recorded after three repeated measurements within an error range of ±1 g using the same size and same part of the oyster.

2.9. Statistical Analysis for Significant Difference Verification

Statistical analysis was conducted to confirm a significant difference between the reduction (log copies/μL) of HAV titer, D-value, and the quality (pH, hardness) according to the DBDP treatment time. The statistical analysis results were calculated based on the value of repeating the experiment three times per sample and expressed as mean ± standard deviation (SD). For the statistical analysis, the SPSS version 12.0 software program (SPSS Inc., Chicago, IL, USA) was used, and the significance difference was verified at the 5% (p < 0.05) level with Duncan’s multiple range test after one-way ANOVA.

3. Results

3.1. Evaluation of HAV Infectivity Using PMA/RT-qPCR after DBDP Treatment

For the PBS suspension results (Figure 1), the titer of the control of the non-PMA and PMA treatment groups was 3.87 copies/μL, and after 10, 20, 30, and 60 min of DBDP treatment, the non-PMA group were 3.67, 3.37, 3.10, and 2.72 copies/μL, respectively, showing a significant decrease as the treatment time increased (p < 0.05). In the PMA-treated group, the titers were 3.52, 3.19, 2.85, and 2.38 copies/μL, respectively, after 10, 20, 30, and 60 min of DBDP treatment. There was a significant difference between the non-PMA and PMA-treated sample at the treatment time of 30–60 min (p < 0.05). The D-value of the HAV of the PMA-treated suspension was 39.99 min, and R2 was 0.97 (Figure 2).
The results of the reduction in titers in the PMA-treated and non-PMA-treated fresh oysters infected with HAV following treatment with DBDP are shown in Figure 3. In the case of the non-PMA group, the titer of the control was 2.68 log copies/μL, and after 10, 20, 30, and 60 min of DBDP treatment, the titers were significantly reduced to 2.48, 2.15, 1.89, and 1.57 log copies/μL, respectively (p < 0.05). In addition, even though DBDP was processed simultaneously, it was confirmed that there was a difference in the titers before and after PMA treatment. The titer of the control was the same, 2.68 copies/μL, and those after 10, 20, and 30 min of DBDP treatment, were 2.35, 2.05, and 1.75, respectively. The titers were further reduced in the non-PMA group at each time point. In particular, the titers decreased by 1.35 copies/μL after 60 min of DBDP treatment, and a significant difference (p < 0.05) between the non-PMA-treated and PMA-treated groups was shown. The D-value of the HAV in the PMA-treated oysters calculated by the first-order kinetics model was 46.73 min, and the R2 for the model was 0.97, indicating high reliability (Figure 4).

3.2. Analysis of pH and Hardness of Fresh Oysters by DBDP Treatment

The change in the pH of fresh oysters following DBDP treatment is shown in Table 2. After 10, 20, 30, and 60 min of DBDP treatment, there was no significant difference between all groups (p < 0.05).
The hardness values obtained following the DBDP treatment are listed in Table 2. There was no significant difference at 10–30 min of treatment (p < 0.05), but there was a significant difference after 60 min of treatment (p < 0.05).

4. Discussion

Non-thermal sterilization technology minimizes the deterioration of the original quality of food because it sterilizes without applying heat; accordingly, the sterilization effect is also seen in the food industry. Non-thermal sterilization techniques include high-pressure processing [32], UV-C [33], ultrasonic [34], plasma treatment, and several other techniques. Plasma, a non-thermal sterilization technology, produced a chemically active species when it occurs, and it is similar to UV-C, a commonly known physical sterilization technology [35]. UV-C emits short wavelengths of 180–280 nm and has a high energy concentration, which has antibacterial effects [36]. In addition, treatment costs are low and chemical residues and heat are not generated [37], so it is mainly used as a sterilization technology for liquid foods [28]. However, UV-C has a small penetration depth, lamps are fragile, and the replacement cycle is short, which can adversely affect the human body owing to mercury and waste discharge. Moreover, the maximum effect cannot be observed at long warm-up times and low temperatures [38]. In comparison, DBDP is an eco-friendly technology that is widely used for medical purposes, such as cancer treatment [39] and dentistry [40], because it does not emit ingredients harmful to the human body. In addition, previous studies have demonstrated a sterilization effect on microorganisms. Bokhorst-van de Veen et al. [41] stated that cold atmospheric plasma can inactivate chemical and heat-resistant spores, and plasma is known to have a sterilizing effect on various microorganisms [29,42]. In addition, it is considered to have many advantages in sterilizing raw foods to minimize the deterioration of quality [43,44,45]. Therefore, in this study, sterilization was performed in suspensions and in oysters inoculated with HAV using DBDP, and the pH and hardness were measured to examine quality changes.
In suspensions and in oysters inoculated with HAV, the reduction in HAV by DBDP treatment was significantly different according to the DBDP treatment time. When comparing the control samples and the 60 min treated suspension and oyster samples, a maximum decrease of 1.15 and 1.11 log copies/μL was observed, respectively. There was a reduction of more than 1 log (90%) of HAV titers in both the suspension and oysters. Therefore, DBDP is thought to be effective in reducing HAV. Bae et al. [46] reported an up to 1.49 log copies/μL reduction in HAV titers in chicken breast using an atmospheric-pressure plasma jet. Shi et al. [47] also reported the effective deactivation of the hepatitis B virus using low-temperature plasma. Choi et al. [31] treated oysters with DBDP for 60 min to reduce the norovirus levels by up to 0.76 log copies/μL. Viral inactivation involves the breakdown of capsid proteins and nucleic acids. Changes in the shape of viral capsids alter stability and induce damage to nucleic acids limiting viral replication in host cells [37]. The formation of active species in plasma destroys or changes the shape of the capsid protein, causing virus inactivation. It also damages capsid proteins, which enter in interior and damage nucleic acids, thereby preventing normal replication [48]. It has been reported that the inactivation of viruses using low-temperature plasma has successfully deactivated various viruses, such as the norovirus [49], adenovirus [50], and HAV.
RT-qPCR was used to detect HAV. RT-qPCR quantification is used as a detection method for diverse microorganisms, including viruses [51,52]. However, this method has the disadvantage of detecting both infectious and noninfectious viruses by amplification [53]. Nucleic acids from damaged viruses can persist for several months after the inactivation process [54,55], and RT-qPCR can eventually overestimate the number of viruses [56]. Therefore, it is necessary to distinguish between infectious and noninfectious viruses. In this study, a fluorescent dye, PMA, was used to distinguish between infectious and noninfectious viruses. PMA can only penetrate dead or membrane-damaged cells, and covalently binds to cell nucleic acids through photolysis. Consequently, nucleic acids become insoluble and the PCR amplification of nucleic acids from dead or membrane-damaged cells is inhibited [57]. In this study, the infection power was confirmed by the PMA treatment of the samples. In viral suspensions, there was a significant difference in titers between the PMA-treated and the non-PMA-treated samples in the 30–60 min treatment, and in the oysters infected with HAV, there was a significant difference at 60 min. PMA treatment allowed a distinction between infectious and non-infectious viruses, and an observation of the effect of DBDP treatment. Previous studies have reported that plasma treatment sufficiently damages the viral capsid, and thus, the PMA dye is well-attached to the inside to detect only infectious viruses, and it is effective against bacteria [58]. Choi et al. [31] also showed that the DBDP treatment of norovirus in oysters greatly helps to inactivate infectious viruses, and PMA preprocessing is an indirect method suitable for estimating the infectivity of viruses.
Since the 1980s, the consumer’s interest in safe food has increased [59]. Therefore, the challenge in the food industry is to prevent or minimize quality degradation to produce high-quality products. pH and texture (hardness) are major factors that affect the quality of food. The pH affects the pigment, taste, texture, and shelf life of food, and rapid changes can have undesirable effects on food [60,61]. Texture (hardness) is an important factor that influences the perception of the sensory attractiveness of food. It represents freshness and contributes to the enjoyment of eating [62]. DBDP treatment did not affect the pH of oysters. Previous studies also reported that oysters and sea squirt did not have pH changes when treated with DBDP [47,49], and considering the results of this study, DBDP does not affect the pH of food. The hardness was significantly different from that in the control group. Sarangapani et al. [63] treated blueberries with atomic cold plasma and determined that plasma did not directly affect quality changes, such as texture. A number of studies using plasma reported no change in apples [64], melons [65], pork, beef [66], minced pork [67], and oysters [31]; the results of this study were different. This is could be due to the differences between individual oyster and the influence of the surrounding environment, and it is difficult to determine whether it is the effect of DBDP.

5. Conclusions

We demonstrated that DBDP can reduce HAV thresholds in suspensions and oysters. There was no difference in the pH of oysters after DBDP treatment, and the hardness seems to be due to the individual characteristics of oysters, not changed due to DBDP treatment. The results of this study focused only on the inhibitory effect of DBDP on the virus and the resulting quality change; therefore, continuous monitoring of oysters is required in future studies. It also suggests that reducing pathogenic microorganisms in food, while improving the treatment environment of DBDP and minimizing the deterioration of quality, may be a new solution for sterilizing food and ensuring safe consumption. The results of this study provide basic information to support the application of DBDP.

Author Contributions

Methodology, J.Y.K., E.B.J., S.H.K., M.S.H., J.-S.K. and S.Y.P.; Software, E.B.J., S.H.K. and J.-S.K.; Validation, J.-S.L.; Formal analysis, J.Y.K. and J.-S.L.; Investigation, M.G.S., S.H.K. and M.S.H.; Resources, M.S.H., J.-S.L. and J.-S.K.; Data curation, M.G.S., J.Y.K., E.B.J. and J.-S.K.; Writing—original draft, M.G.S., J.Y.K. and S.Y.P.; Writing—review & editing, M.G.S. and S.Y.P.; Supervision, S.Y.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was a part of the project titled ‘Development of seafood products for export diversification in response to strengthening sanitary inspection in Japan’, funded by the Ministry of Oceans and Fisheries, Korea (PJT201277).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Park, S.Y.; Ha, S.D. Thermal inactivation of hepatitis A virus in suspension and in dried mussels (Mytilus edulis). Int. J. Food Sci. Technol. 2015, 50, 717–722. [Google Scholar] [CrossRef]
  2. Kim, H.S.; Oh, Y.H.; Thollot, Y.; Bravo, C. Post-marketing surveillance of hepatitis A virus vaccine (Avaxim® 160U) in south Korea from 2011 to 2015. Infect Dis. Ther. 2019, 8, 105–112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. John, D.E.; Rose, J.B. Review of factors affecting microbial survival in groundwater. Environ. Sci. Technol. 2005, 39, 7345–7356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Nainan, O.V.; Xia, G.; Vaughan, G.; Margolis, H.S. Diagnosis of hepatitis a virus infection: A molecular approach. Clin. Microbiol. Rev. 2006, 19, 63–79. [Google Scholar] [CrossRef] [Green Version]
  5. Hewitt, J.; Greening, G.E. Effect of heat treatment on hepatitis A virus and norovirus in NewZealand greenshell mussels (Perna canaliculus) by quantitative real-time reverse transcription pcr and cell culture. J. Food Prot. 2006, 69, 2217–2223. [Google Scholar] [CrossRef]
  6. Sow, H.; Desbiens, M.; Morales-Rayas, R.; Ngazoa, S.E.; Jean, J. Heat inactivation of hepatitis A virus and a norovirus surrogate in soft-shell clams (Mya arenaria). Foodborne Pathog. Dis. 2011, 8, 387–393. [Google Scholar] [CrossRef]
  7. Bidawid, S.; Farber, J.M.; Satter, S.A. Rapid concentration and detection of hepatitis A virus from lettuce and strawberries. J. Virol. Methods 2000, 88, 175–185. [Google Scholar] [CrossRef]
  8. Long, S.M.; Adak, G.K.; O’Brien, S.J.; Gillespie, I.A. General outbreaks of infectious intestinal disease linked with salad vegetables and fruit, England and Wales, 1992–2000. Commun. Dis. Public Health 2002, 5, 101–105. [Google Scholar]
  9. Le Guyader, F.S.; Schultz, A.C.; Haugarreau, L.; Crosi, L.; Maunula, L.; Duizer, E.; Lobber-Verschoor, F.; von Bonsdorff, C.H.; Suffredini, E.; van der Poel, W.M.; et al. Round-Robin Comparison of Methods for the Detection of Human Enteric Viruses in Lettuce. Food Prot. 2004, 67, 2315–2319. [Google Scholar] [CrossRef]
  10. Seo, D.J.; Son, N.R.; Seo, S.W.; Lee, M.H.; Wang, X.Y.; Lee, J.S.; Joo, I.S.; Choi, C.S. Seafood and viruses. Safe Food. 2012, 7, 14–23. [Google Scholar]
  11. Chintagari, S.; Hazard, N.; Edwards, G.; Jadeja, R.; Janes, M. Risks associated with fish and seafood. Microbiol. Spectr. 2017, 5, 123–142. [Google Scholar] [CrossRef] [PubMed]
  12. Ki, M.R.; Son, H.J.; Choi, B.Y. Causes and countermeasures for repeated outbreaks of hepatitis A among adults in Korea. Epidemiol. Health 2019, 41, e2019038. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Hansman, G.S.; Oka, T.; Li, T.C.; Nishio, O.; Noda, M.; Takeda, N. Detection of human enteric viruses in japanese clams. J. Food Prot. 2008, 71, 1689–1695. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Wang, D.; Wu, Q.; Yao, L.; Wei, M.; Kou, X.; Zhang, J. New target tissue for food-borne virus detection in oysters. Lett. Appl. Microbiol. 2008, 47, 405–409. [Google Scholar] [CrossRef]
  15. Sanchez, G.; Pinto, R.M.; Vanaclocha, H.; Bosch, A. Molecular characterization of hepatitis A virus isolates from transcomtinental shellfish-borne outbreak. J. Clin. Microbiol. 2002, 40, 4148–4155. [Google Scholar] [CrossRef] [Green Version]
  16. Conaty, S.; Bird, P.; Bell, G.; Kraa, E.; Grohmann, G.; Mcanulty, J.M. Hepatitis A in new south wales, Australia, from consumption of oysters: The first reported outbreak. Epidemiol. Infect. 2000, 124, 121–130. [Google Scholar] [CrossRef]
  17. Negara, B.F.S.P.; Mohibbullah, M.; Sohn, J.H.; Kim, J.S. Nutritional value and potential bioactivities of pacific oyster (Crassostrea gigas). Int. J. Food Sci. 2022, 57, 5732–5749. [Google Scholar] [CrossRef]
  18. Suraiya, S.; Ahmmed, M.K.; Haq, M. Immunity boosting roles of biofunctional compounds available in aquafoods: A review. Heliyon 2022, 8, e09547. [Google Scholar] [CrossRef]
  19. Jeong, S.H.; Kwon, J.Y.; Shin, S.B.; Choi, W.S.; Lee, J.H.; Kim, S.J.; Ha, K.S. Antibiotic resistance in shellfish and major inland pollution sources in the drainage basin of Kamak Bay, Republic of Korea. Environ. Monit. Assess. 2021, 193, 471. [Google Scholar] [CrossRef]
  20. Fiorito, F.; Concilio, D.D.; Lambiase, S.; Amoroso, M.G.; Langellotti, A.L.; Martello, A.; Esposito, M.; Galiero, G.; Fusco, G. Oyster Crassostrea gigas, a good model for correlating viral and chemical contamination in the marine environment. Mar. Pollut. Bull. 2021, 172, 112825. [Google Scholar] [CrossRef]
  21. Yu, Y.; Cai, H.; Hu, L.; Lei, R.; Pan, Y.; Yan, S.; Wang, Y. Molecular epidemiology of oyster-related human noroviruses and their global genetic diversity and temporal-geographical distribution from 1983 to 2014. Appl. Environ. Microbiol. 2015, 81, 7615–7624. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Soni, A.; Smith, J.; Thompson, A.; Brightwell, G. Microwave-induced thermal sterilization- A review on history, technical progress, advantages and challenges as compared to the conventional methods. Trends Food Sci. Technol. 2020, 97, 433–442. [Google Scholar] [CrossRef]
  23. Li, X.; Farid, M. Areview on recent development in non-conventional food sterilization technologies. J. Food Eng. 2016, 182, 33–45. [Google Scholar] [CrossRef]
  24. Patel, J.; Parhi, A.; Al-Ghamdi, S.; Sonar, S.R.; Mattinson, D.S.; Tang, J.; Yang, T.; Sablani, S.S. Stability of vitamin C, color, and garlic aroma of garlic mashed potatoes in polymer packages processed with microwave-assisted thermal sterilization technology. J. Food Sci. 2020, 85, 2843–2851. [Google Scholar] [CrossRef] [PubMed]
  25. He, J.; Wen, X.; Wu, L.; Chen, H.; Hu, J.; Hou, X. Dielectric barrier discharge plasma for nanometerials: Fabrication, modification and analytical applications. TrAC Trends Anal. Chem. 2022, 156, 116715. [Google Scholar] [CrossRef]
  26. Domonkos, M.; Tich, P.; Trejbal, J.; Demo, P. Applications of cold atmospheric pressure plasma technology in medicine, Agriculture and food industry. Appl. Sci. 2021, 11, 4809. [Google Scholar] [CrossRef]
  27. Herianto, S.; Hou, C.Y.; Lin, C.M.; Chen, H.L. Nonthermal plasma-activated water: A comprehensive review of this new tool for enhanced food safety and quality. Copr. Rev. Food Sci. Food Saf. 2021, 20, 583–626. [Google Scholar] [CrossRef] [PubMed]
  28. Schneider, J.; Baumgartner, K.M.; Feichtinger, J.; Kruger, J.; Muranyi, P.; Schulz, A.; Walker, M.; Wunderlich, J.; Schumacher, U. Investigation of the practicability of low-pressure microwave plasmas in the sterilisation of food packaging materials at industrial level. Surf. Coat. Technol. 2005, 200, 962–966. [Google Scholar] [CrossRef]
  29. Ryu, Y.H.; Uhm, H.S.; Park, G.S.; Choi, E.H. Sterilization of Neurospora Crassa by noncontacted low temperature atmospheric pressure surface discharged plasma with dielectric barrier structure. J. Korean Vac. Soc. 2013, 22, 55–65. [Google Scholar] [CrossRef] [Green Version]
  30. Jung, M.I.; Park, S.Y.; Ha, S.D. Thermal inactivation of human norovirus on spinach using propidium or ethdium monoazide combined with real-time quantitative reverse transcription polymerase chain reaction. Food Control 2017, 78, 79–84. [Google Scholar] [CrossRef]
  31. Choi, M.S.; Jeon, E.B.; Kim, J.Y.; Choi, E.H.; Lim, J.S.; Choi, J.S.; Ha, K.S.; Kwon, J.Y.; Jeong, S.H.; Park, S.Y. Virucidal effects of dielectric barrier discharge plasma on human norovirus infectivity in fresh oysters (Crassostrea gigas). Foods 2020, 9, 1731. [Google Scholar] [CrossRef] [PubMed]
  32. Zhang, H.; Mittal, G.S. Effects of high-pressure processing (HPP) on bacterial spores: An overview. Food Rev. Int. 2008, 24, 330–351. [Google Scholar] [CrossRef]
  33. Roy, P.K.; Mizan, M.F.R.; Hossain, M.I.; Han, N.; Nahar, S.; Ashrafudoulla, M.; Toushik, S.H.; Shim, W.B.; Kim, Y.M.; Ha, S.D. Elimination of Vibrio parahaemolyticus biofilms on crab and shrimp surfaces using ultraviolet C irradiation coupled with sodium hypochlorite and slightly acidic electrolyzed water. Food Control 2021, 128, 108179. [Google Scholar] [CrossRef]
  34. Lin, L.; Wang, X.; Li, C.; Cui, H. Inactivation mechanism of E. coli O157:H7 under ultrasonic sterilization. Ultrason. Sonochem. 2019, 59, 104751. [Google Scholar] [CrossRef] [PubMed]
  35. Brandenburg, R.; Lange, H.; Woedtke, T.V.; Stieber, M.; Kindel, E.; Weltmann, K.D. Antimicrobial effects of UV and VUV radiation of nonthermal plasma jets. IEEE Trans. Plasma Sci. 2009, 37, 877–883. [Google Scholar] [CrossRef]
  36. Motakef-Kazemi, N.; Yaquobi, M. Green synthesis and characterization of bismuth oxide nanoparticle using Mentha Pulegium extract. Iran. J. Pharm. Sci. 2020, 19, 70–79. [Google Scholar] [CrossRef]
  37. Hirneisen, K.A.; Black, E.P.; Cascarino, J.L.; Fino, V.R.; Hoover, D.G.; Kniel, K.E. Viral inactivation in foods: A review of traditional and novel food-processing technologies. Compr. Rev. Food Sci. Food Saf. 2010, 9, 3–20. [Google Scholar] [CrossRef]
  38. Kim, S.J.; Kim, D.K.; Kang, D.H. Using UVC light-emitting diodes at wavelengths of 266 to 279 nanometer to inactivate foodborne pathogens and pasteurize sliced cheese. Appl. Environ. Microbiol. 2016, 82, 11–17. [Google Scholar] [CrossRef] [Green Version]
  39. Keidar, M. Plasma for cancer treatment. Plasma Sources Sci. Technol. 2015, 24, 033001. [Google Scholar] [CrossRef]
  40. Uhm, S.H.; Kwon, J.S.; Lee, E.J.; Lee, J.H.; Kim, K.N. Applications of non-thermal atmospheric pressure plasma in dentistry. J. Korean Dent. Assoc. 2014, 52, 783–794. [Google Scholar]
  41. Bokhorst-van de veen, H.V.; Xie, H.; Esveld, E.; Abee, T.; Mastwijk, H.; Groot, M.N. inactivation of chemical and heat resistant spored of Bacillus and Geobacillus by nitrogen cold atmospheric plasma evokes distinct changes in morphology and integrity of spores. Food Microbiol. 2015, 45, 26–33. [Google Scholar] [CrossRef] [PubMed]
  42. Sakudu, A.; Yagyu, Y.; Onodera, T. Disinfection and sterilization using plasma technology: Fundamentals and future perspectives for biological applications. Int. J. Mol. Sci. 2019, 20, 5216. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Chen, Y.; Chen, G.; Wei, R.; Zhang, Y.; Li, S.; Chen, Y. Quality characteristics of fresh wet noodles treated with nonthermal plasma sterilization. Food Chem. 2019, 297, 127900. [Google Scholar] [CrossRef] [PubMed]
  44. Rod, S.K.; Hansen, F.; Leipold, F.; Knochel, S. Cold atmospheric pressure plasma treatment of ready-to-eat meat: Inactivation of Listeria innocua and changes in product quality. Food Microbiol. 2012, 30, 233–238. [Google Scholar] [CrossRef] [PubMed]
  45. Shi, X.M.; Zhang, G.J.; Wu, X.L.; Ma, Y.; Shao, X.J. Effect of low-temperature plasma on microorganism inactivation and quality of freshly squeezed orange juice. IEEE Trans. Plasma Sci. 2011, 39, 1591–1597. [Google Scholar] [CrossRef]
  46. Bae, S.C.; Park, S.Y.; Choe, W.; Ha, S.D. Inactivation of murine norovirus-1 and hepatitis A virus on fresh meats by atmospheric pressure plasma jets. Food Res. Int. 2015, 76, 342–347. [Google Scholar] [CrossRef] [PubMed]
  47. Shi, X.M.; Zhang, G.J.; Wu, X.L.; Peng, Z.Y.; Zhang, Z.H.; Shao, X.J.; Chang, Z.S. Effects of low-temperature plasma on deactivation of hepatitis B virus. IEEE Trans. Plasma Sci. 2012, 40, 2711–2716. [Google Scholar] [CrossRef]
  48. Filipic, A.; Gutierrez-Aguirre, I.; Primc, G.; Mozetic, M.; Dobnik, D. Cold plasma, a new hope in the field of virus inactivation. Trends Biotechnol. 2020, 38, 1278–11291. [Google Scholar] [CrossRef]
  49. Kim, J.Y.; Jeon, E.B.; Song, M.G.; Ha, K.S.; Jeong, S.H.; Jung, Y.J.; Park, S.Y. Combined of ultrasonic waves and dielectric barrier discharge plasma for the viable reduction in human norovirus while retaining the quality of raw sea squirt. J. Food Process. Preserv. 2021, 44, e13847. [Google Scholar] [CrossRef]
  50. Sakudo, A.; Toyokawa, Y.; Imanishi, Y. Nitrogen gas plasma generated by a static induction thyristor as a pulsed power supply inactivated adenovirus. PLoS ONE 2016, 11, e0157922. [Google Scholar] [CrossRef] [Green Version]
  51. Mackay, I.M.; Arden, K.E.; Nitsche, A. Real-time PCR in virology. Nucleic Acids Res. 2002, 30, 1292–1305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Hein, I.; Flekna, G.; Krassnig, M.; Wagner, M. Real-time PCR for the detection of Salmonella spp. in food: An alternative approach to a conventional PCR system suggested by the FOOD-PCR project. J. Microbiol. Methods 2006, 66, 538–547. [Google Scholar] [CrossRef]
  53. Rudi, K.; Moen, B.; Dromtorp, S.M.; Holck, A.L. Use of Ethidium monoazide and PCR in combination for quantification of viable and dead cells in complex samples. Appl. Environ. Microbiol. 2005, 71, 1018–1024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Bemer, P.; Plouzeau, C.; Tande, D.; Leger, J.; Giraudeau, B.; Valentin, A.S.; Jolivet-Gougeon, A.; Vincent, P.; Corvec, S.; Gibaud, S.; et al. Evaluation of 16S rRNA gene PCR sensitivity and specificity for diagnosis of prosthetic joint infection: A prospective multicenter crosssectional study. J. Clin. Microbiol. 2014, 52, 3583–3589. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Branger, S.; Casalta, J.P.; Habib, G.; Collard, F.; Raoult, D. Streptococcus pneumoniae endocarditis: Persistence of DNA on heart valve material 7 years after infectious episode. J. Clin. Microbiol. 2003, 41, 4435–4437. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Askar, M.; Sajid, M.; Nassif, Y.; Ashraf, W.; Scammell, B.; Bayston, R. Propidium monoazide-polymerase chain reaction for detection of residual periprosthetic joint infection in two-stage revision. Mol. Biol. Rep. 2019, 46, 6463–6470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Nocker, A.; Cheung, C.Y.; Camper, A.K. Comparison of propidium monoazide with ethidium monoazide for differentiation of live vs. dead bacteria by selective removal of DNA from dead cells. J. Microbiol. Methods 2006, 67, 310–332. [Google Scholar] [CrossRef]
  58. Zhong, J.; Zhao, X. Detection of viable but non-culturable Escherichia coli O157:H7 by PCR in combination with propidium monoazide. 3 Biotech. 2018, 8, 28. [Google Scholar] [CrossRef]
  59. Van Boekel, M.A.J.S. Modelling of chemical reactions in foods: A multiresponse approach. Acta. Hortic. 1998, 476, 149–156. [Google Scholar] [CrossRef]
  60. Andres-Bello, A.; Barreto-Palacios, V.; Garcia-Segovia, P.; Mir-Bel, J.; Martinez-Monzo, J. Effects of pH on color and texture of food products. Food Eng. Rev. 2013, 5, 158–170. [Google Scholar] [CrossRef]
  61. Pankaj, S.; Wan, Z.; Keener, K.M. Effects of cold plasma on food quality: A review. Foods 2018, 7, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Wilkinson, C.; Dijksterhuis, G.B.; Minsekus, M. From food structure to texture. Trends Food Sci. Tech. 2000, 11, 442–450. [Google Scholar] [CrossRef]
  63. Sarangapani, C.; O’Toole, G.; Cullen, P.J.; Bourke, P. Atmospheric cold plasma dissipation efficiency of agrochemicals on blueberries. Innov. Food Sci. Emerg. Technol. 2017, 44, 235–241. [Google Scholar] [CrossRef] [Green Version]
  64. Niemira, B.A.; Sites, J. Cold plasma inactivates Salmonella Stanley and Escherichia coli O157:H7 inoculated on golden delicious apples. J. Food Prot. 2008, 71, 1357–1365. [Google Scholar] [CrossRef] [PubMed]
  65. Tappi, S.; Gozzi, G.; Vannini, L.; Berardinelli, A.; Romani, S.; Ragni, L.; Rocculi, P. Cold plasma treatment for fresh-cut melon stabilization. Innov. Food Sci. Emerg. Technol. 2016, 33, 225–233. [Google Scholar] [CrossRef]
  66. Jayasena, D.D.; Kim, H.J.; Yong, H.I.; Park, S.; Kim, K.; Choe, W.; Jo, C. Flexible thin-layer dielectric barrier discharge plasma treatment of pork butt and beef loin: Effects on pathogen inactivation and meat-quality attributes. Food Microbiol. 2015, 46, 51–57. [Google Scholar] [CrossRef]
  67. Lee, J.; Jo, K.; Lim, Y.; Jeon, H.J.; Choe, J.H.; Jo, C.; Jung, S. The use of atmospheric pressure plasma as a curing process for canned ground ham. Food Chem. 2018, 240, 430–436. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Comparison of HAV values in PBS suspension between RT-qPCR and PMA/RT-qPCR analysis by DBDP. Error bars indicate standard deviations of the mean of three samples per treatment. The different letters indicate significant differences at untreated samples (A–E) or PMA-treated samples (a–e) using Duncan’s multiple range test (p < 0.05). Asterisks (*) indicate significant difference between untreated and PMA-treated samples by t-test (p < 0.05).
Figure 1. Comparison of HAV values in PBS suspension between RT-qPCR and PMA/RT-qPCR analysis by DBDP. Error bars indicate standard deviations of the mean of three samples per treatment. The different letters indicate significant differences at untreated samples (A–E) or PMA-treated samples (a–e) using Duncan’s multiple range test (p < 0.05). Asterisks (*) indicate significant difference between untreated and PMA-treated samples by t-test (p < 0.05).
Applsci 13 03513 g001
Figure 2. Fitted survival curves of HAV in PBS suspension treated by DBDP using the first-order kinetics model. Error bars indicate the standard deviations for the mean of three samples per treatment.
Figure 2. Fitted survival curves of HAV in PBS suspension treated by DBDP using the first-order kinetics model. Error bars indicate the standard deviations for the mean of three samples per treatment.
Applsci 13 03513 g002
Figure 3. Comparison of HAV values in oyster between RT-qPCR and PMA/RT-qPCR analysis by DBDP. Error bars indicate standard deviations of the mean of three samples per treatment. The different letters indicate significant differences at untreated samples (A–E) or PMA-treated samples (a–d) using Duncan’s multiple range test (p < 0.05). Asterisk (*) indicates a significant difference between untreated and PMA-treated samples by t-test (p < 0.05).
Figure 3. Comparison of HAV values in oyster between RT-qPCR and PMA/RT-qPCR analysis by DBDP. Error bars indicate standard deviations of the mean of three samples per treatment. The different letters indicate significant differences at untreated samples (A–E) or PMA-treated samples (a–d) using Duncan’s multiple range test (p < 0.05). Asterisk (*) indicates a significant difference between untreated and PMA-treated samples by t-test (p < 0.05).
Applsci 13 03513 g003
Figure 4. Fitted survival curves of HAV in oyster treated by DBDP using the first-order kinetics model. Error bars indicate the standard deviations for the mean of three samples per treatment.
Figure 4. Fitted survival curves of HAV in oyster treated by DBDP using the first-order kinetics model. Error bars indicate the standard deviations for the mean of three samples per treatment.
Applsci 13 03513 g004
Table 1. Sequence of primers and probe for RT-qPCR to quantitate HAV.
Table 1. Sequence of primers and probe for RT-qPCR to quantitate HAV.
TypeComponentSequence (5′→3′)
PrimerForwardGCG GGG GAT ATT GGT GAG
ReverseCAA TGC ATC CAC TGG ATG AGA
ProbeHAV proveTTA AGA CAA AAA CCA TTC AAC GCC GGA G
Table 2. pH value and hardness changes in the oyster treated by DBDP.
Table 2. pH value and hardness changes in the oyster treated by DBDP.
DBDP Treatment Time (min)pH ValueHardness (g/cm2)
06.0 ± 0.01 NS212.0 ± 3.0 a
105.9 ± 0.00194.7 ± 3.8 b
205.9 ± 0.01192.2 ± 8.7 b
306.0 ± 0.00197.3 ± 2.8 b
606.0 ± 0.00183.7 ± 6.9 c
The data indicates mean ± standard deviation (three samples per treatment). NS Non significant differences within the same column by Duncan’s multiple range test (p < 0.05). The letters (a–c) of column indicate significant differences using Duncan’s multiple range test (p < 0.05).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Song, M.G.; Kim, J.Y.; Jeon, E.B.; Kim, S.H.; Heu, M.S.; Lee, J.-S.; Kim, J.-S.; Park, S.Y. Antiviral Efficacy of Dielectric Barrier Discharge Plasma against Hepatitis A Virus in Fresh Oyster Using PMA/RT-qPCR. Appl. Sci. 2023, 13, 3513. https://doi.org/10.3390/app13063513

AMA Style

Song MG, Kim JY, Jeon EB, Kim SH, Heu MS, Lee J-S, Kim J-S, Park SY. Antiviral Efficacy of Dielectric Barrier Discharge Plasma against Hepatitis A Virus in Fresh Oyster Using PMA/RT-qPCR. Applied Sciences. 2023; 13(6):3513. https://doi.org/10.3390/app13063513

Chicago/Turabian Style

Song, Min Gyu, Ji Yoon Kim, Eun Bi Jeon, So Hee Kim, Min Soo Heu, Jung-Suck Lee, Jin-Soo Kim, and Shin Young Park. 2023. "Antiviral Efficacy of Dielectric Barrier Discharge Plasma against Hepatitis A Virus in Fresh Oyster Using PMA/RT-qPCR" Applied Sciences 13, no. 6: 3513. https://doi.org/10.3390/app13063513

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop