ORIGINAL RESEARCH article

Front. Microbiol., 05 May 2021

Sec. Food Microbiology

Volume 12 - 2021 | https://doi.org/10.3389/fmicb.2021.667956

Stability and Infectivity of SARS-CoV-2 and Viral RNA in Water, Commercial Beverages, and Bodily Fluids

  • 1. Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan

  • 2. Program for Nurturing Global Leaders in Tropical and Emerging Communicable Diseases, Nagasaki University, Nagasaki, Japan

  • 3. WHO Global Reference Laboratory for COVID-19, WHO Collaborating Center for Reference and Research on Tropical and Emerging Virus Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan

Abstract

The stability and infectivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in liquid samples are of great concern to virus transmission via common beverages and sewage water. Here, we investigated the stability of SARS-CoV-2 in 32 liquids including common beverages, bodily fluids, and commonly used viral transport media. Our results showed that the infectious virus could be recovered up to 77-days from common beverages including milk and water. Viral RNA could be detected at high levels in all samples up to 28-days, indicating that while viral RNA demonstrates higher stability than infectivity, viral RNA levels do not reflect the infectious capability of SARS-CoV-2. These results indicate that SARS-CoV-2 is highly stable in optimal conditions and a sufficient control measure is needed in reducing the risk of exposure and controlling and preventing future outbreaks.

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA has been detected in surfaces and environment and surfaces due to contact with carrier (Kampf et al., 2020; van Doremalen et al., 2020). SARS-CoV-2 can survive in suspension and in aerosols in the environment for a limited time and the virus is very stable in favorable environments (Chin et al., 2020). At refrigeration temperatures (4°C), SARS-CoV-1 remains infectious up to 9 days (Rabenau et al., 2005). In a transportation medium, there was a limited reduction in infectious SARS-CoV-2 held at 4°C for up to 14 days (Chin et al., 2020). In this context, SARS-CoV-2 remained infectious for 3 weeks in spiked pieces of refrigerated chicken, pork, and salmon (Fisher et al., 2020). In industrial production, SARS-CoV-2 RNA has been detected in dairy products, including milk powder and ice cream, leading to disruptions in the food supply chain (Liew, 2021). While the persistence of viral RNA on surfaces and in food could contribute to potential positive test results, a robust risk evaluation should include an assay that is capable of differentiating between infectious and non-infectious virions. To date, there have been limited studies on viral infectivity in common beverages and bodily fluids. In this context, the evaluation of virus stability together with infectivity in commonly available beverages are of high importance to the risk assessment of outbreak control and prevention.

A current tool for the identification and assessment of SARS-CoV-2 includes reverse-transcriptase PCR (RT-PCR) for the detection of the virus genome and virus isolation. RT-PCR provides rapid assessment but offers no information on virus infectivity and is occasionally prone to false-positive results (Surkova et al., 2020; Wikramaratna et al., 2020). While laborious compared to the RT-PCR method, virus titration by using cell culture is the most direct method for the evaluation of virus infectivity. In this study, the infectivity of SARS-CoV-2 in 32 commercial beverage and bodily fluids was quantitated by using RT-PCR and a conventional plaque assay by cell culture; tested for infectivity up to 77 days after incubation, the aim was to evaluate the stability and infectivity of SARS-CoV-2 in liquid suspension.

Materials and Methods

Virus and Cell Lines

SARS-CoV-2 (TY-WK-521/2020 strain) was propagated on Vero 9013 cells at 37°C in 5% CO2 for up to 6 days. Vero 9013 cells (Japan Health Science Research Resources TBankT) were cultured as previously described in Eagle’s Minimum Essential Medium (EMEM, Sigma, St. Louis, MO) supplemented with heat-inactivated 10% fetal calf serum (FCS, Sigma) without antibiotics at 37°C in 5% CO2 (Balingit et al., 2020). Commercial beverages were obtained from local stores. Pooled saliva and urine used as body fluids samples were obtained from Innovative Research, Inc. (Novi, MI, United States). At set time points, samples were collected for the infectivity test by plaque assay and genomic viral RNA quantitation by quantitative real-time RT-PCR (qRT-PCR) (Corman et al., 2020; Le et al., 2020).

Plaque Assay

A plaque assay was performed to determine the levels of infectious virus particles (Cooper, 1962). Infection assay using SARS-CoV-2 was performed in the BSL-3 facility at the Institute of Tropical Medicine, Nagasaki University. In this study, 50 μL of virus culture (2 × 106 PFU/mL) was inoculated into 950 μL of the liquid sample (final virus concentration was 1 × 105 PFU/mL) and incubated at 4°C. In clinical samples, the infectious virus was isolated from the nasopharyngeal swabs of COVID 19 patients at titers between 105 PFU/mL to 107PFU/mL (Lescure, 2020), suggesting that virus shedding occurs between these levels during natural infection. Thus, the liquid samples in this study were spiked at concentrations that show virus shedding during natural infection at a titer of 2 × 106 PFU/mL of virus (final concentration: 1 × 105 PFU/mL). Briefly, SARS-CoV-2 spiked liquid samples were incubated at 4°C were collected at each time point and serially diluted in the EMEM (dilution ratio of 1:10–1:103). A total of 100 μL of serially diluted sample was inoculated onto monolayers of Vero cells in a 12-well plate. Next, the plates were incubated at 37°C in 5% CO2 up to 40 min, and, after incubation, 2 mL of overlay media [5 g of Methylcellulose (Wako Pure Chemical Industries Ltd., Osaka, Japan), 12 g of Avicel RC 591 (FMC Biopolymer, United States), and 9.4 g of EMEM powder were dissolved in 1 L of DDW] was added to each well. After 3 days post-infection, cells were fixed with 4% paraformaldehyde and stained with 0.25% crystal violet (Wako Pure Chemical Industries) (Balingit et al., 2020). The number of plaques was counted with the naked eye, and the viral titer was defined as plaque-forming units per milliliter (PFU/mL).

Viral RNA Quantitation

Viral RNA was extracted from 100 μL of liquid samples using Quick Viral RNA kit (Zymo research, CA, United States), and the SARS-CoV-2 E gene was amplified by qRT-PCR (Fisher et al., 2020; Wikramaratna et al., 2020). The PCR master mix consisted of 2.5 μL of RNA, 5 μL of TaqMan Fast Virus 1-Step Master Mix (Applied Biosystems, CA, United States), 0.25 μL of 100 μM forward and reverse primer, 0.5 μL of 10 μM probe, and 9 μL nuclease-free water. Viral RNA was subjected to quantitative RT-PCR as previously described (Corman et al., 2020; Le et al., 2020). The viral RNA levels were defined as log 10 copies number/mL.

Statistical Analysis

All virus titration assays (plaque titration and RT-qPCR) assays were performed in duplicates, and all experiments were at least performed twice. Data were analyzed by using GraphPad Prism version 6.07 (GraphPad software, La Jolla, CA, United States). For the determination of P-values of virus titers of the same samples, a paired Student’s t-test was used. Unpaired t-test was used for comparison of virus titers as determined by plaque assay and RT-PCR. A P-value of less than 0.05 (P < 0.05) is considered significant. The half-life value (day) of the infectious virus in each liquid sample was calculated using; t 1/2 = log102/k, k = decay constant (Riddell et al., 2020).

Results

A total of 32 types of liquid samples were used in this experiment. The spiked samples incubated at 4°C were collected at 13 incubation time points. Infectious virus and viral RNA were detected by plaque assay and qRT-PCR, respectively. The infectious virus value was represented as a plaque forming unit (PFU)/mL.

Infectious virus could be recovered between day 7 to day 35 from some beverages, including milk, fruit juices, alcoholic beverages (alcohol content < 16%), and water, and bodily fluids (saliva and urine, Table 1). Of the 32 samples tested, in four liquid samples, infectious virus particles could be detected up to day 77 of the incubation time point. Retention of viral infectivity varied according to the type of beverage and the incubation time (day 0, Table 1). There was a more than 10-fold reduction in the infectious titer in the 28 types of liquid samples tested. Overall, virus infectivity was reduced in most of the samples tested but remained infectious in 15/32 (46.9%), 14/32 (43.7%), and 11/32 (34.4%) of the samples tested at 14, 21, and 28 days, respectively. In this context, there was no significant reduction in SARS-CoV-2 infectious virus titers in common beverages, including milk and soy milk samples, up to day 28 of incubation (Table 1). In alcoholic beverage samples, infectious virus could be detected in three of the five spiked samples tested after 7 days of incubation. Viral RNA was detected in all of the samples tested, and the difference in the viral RNA levels between non-infectious and infectious samples was not significant by using the t-test (P infectious vs.non–infectious, day7 = 0.75). Viral RNA could still be detected at high levels in samples that did not demonstrate infectivity, concurring with that of previous studies that have shown that viral RNA levels do not reflect infectivity (Table 2). Between infectious and non-infectious samples, or according to the incubation period, viral RNA levels did not decrease significantly by the t-test (P days0 vs. 28 = 0.33) and could be detected at high levels (>log10 10 genome copies/mL) at up to 1 month of incubation (Table 2). The half-life value of infectious SARS-CoV-2 in the water and milk group, bodily fluids and viral transport media were, however, had longer half-lives compared to other beverage groups (Table 3).

TABLE 1

Virus titer (log10 PFU/mL)
SampleDay 0Day 3Day 7Day 14Day 21Day 28Day 35Day 42Day 49Day 56Day 63Day 70Day 77
Group 1 water
Mineral watera3.7 ± 0.23.5 ± 0.13.7 ± 0.13.6 ± 0.43.6 ± 0.13.1 ± 0.03.1 ± 0.0NDNTNTNTNTNT
Tap watera4.6 ± 0.04.7 ± 0.14.8 ± 0.24.7 ± 0.04.3 ± 0.1NT3.9 ± 0.2NT3.5 ± 0.03.6 ± 0.0NTNTNT
Distilled water3.9 ± 0.13.4 ± 0.04.1 ± 0.24.1 ± 0.13.9 ± 0.23.6 ± 0.23.5 ± 0.03.4 ± 0.23.2 ± 0.03.4 ± 0.03.5 ± 0.03.0 ± 0.22.7 ± 0.1
Group 2 milk
Milk3.6 ± 0.13.1 ± 0.13.8 ± 0.13.7 ± 0.33.5 ± 0.13.3 ± 0.23.3 ± 0.03.1 ± 0.12.9 ± 0.13.2 ± 0.13.0 ± 0.22.2 ± 0.22.5 ± 0.2
Soy milk3.5 ± 0.03.1 ± 0.14.4 ± 0.43.8 ± 0.04.0 ± 0.34.2 ± 0.52.9 ± 0.23.7 ± 0.22.7 ± 0.32.7 ± 0.12.9 ± 0.22.5 ± 0.02.4 ± 0.1
Yogurt drink3.5 ± 0.02.9 ± 0.22.5 ± 0.2NDNDNDNDNTNTNTNTNTNT
Milk-coffee3.2 ± 0.23.5 ± 0.02.9 ± 0.02.0d2.2 ± 0.2NDNDNTNTNTNTNTNT
Cocoa3.4 ± 0.23.6 ± 0.03.1 ± 0.22.6dNDNDNDNTNTNTNTNTNT
Group 3 juice/coffee
Apple juice3.2 ± 0.93.7 ± 0.2NDNDNDNDNDNTNTNTNTNTNT
Orange juice3.3 ± 0.13.7 ± 0.13.3 ± 0.12.4dNDNDNDNTNTNTNTNTNT
Tomato juice3.7 ± 0.03.7 ± 0.03.5 ± 0.1NDNDNDNDNTNTNTNTNTNT
Flavored fruit juice3.6 ± 0.13.4 ± 0.01.4 ± 1.7NDNDNDNDNTNTNTNTNTNT
Black coffee3.0 ± 0.23.3 ± 0.22.8 ± 0.0NDNDNDNDNTNTNTNTNTNT
Group 4 carbonated beverage
Cola2.5 ± 0.22.3dNDNDNDNDNDNTNTNTNTNTNT
Lemon-lime carbonated beverage2.2 ± 0.3NDNDNDNDNDNDNTNTNTNTNTNT
Group 5 tea
Green tea2.7d2.0dNDNDNDNDNDNTNTNTNTNTNT
Black tea (Oolong tea)NDcNDNDNDNDNDNDNTNTNTNTNTNT
Herbal tea (Artemisia capillaris)NDNDNDNDNDNDNDNTNTNTNTNTNT
Group 6 alcohol beverage
Beer, 5%b3.6 ± 0.13.8 ± 0.13.5 ± 0.03.1 ± 0.13.1 ± 0.12.8 ± 0.32.3 ± 0.02.2 ± 0.32.0 ± 0.0NDNTNTNT
Sparkling sake, 5%b3.3 ± 0.32.8 ± 0.1NDNDNDNDNDNTNTNTNTNTNT
Carbonated distilled beverage (shochu), 9%b3.4 ± 0.23.7 ± 0.03.9 ± 0.03.2 ± 0.03.1 ± 0.32.8 ± 0.1NDNTNTNTNTNTNT
White wine, 11%bNDNDNDNDNDNDNDNTNTNTNTNTNT
Japanese wine (sake), 15.6%b3.4 ± 0.32.9 ± 0.03.1 ± 0.12.3d2.7 ± 0.62.1 ± 0.2NDNTNTNTNTNTNT
Group 7 health beverage
Sports drink P3.3 ± 0.22.6 ± 0.22.0dNDNDNDNDNTNTNTNTNTNT
Amino sports beverage2.8 ± 0.2NDNDNDNDNDNDNTNTNTNTNTNT
Multivitamin beverage3.3 ± 0.32.2 ± 0.22.0 ± 0.0NDNDNDNDNTNTNTNTNTNT
Energy tonicNDNDNDNDNDNDNDNTNTNTNTNTNT
Vinegar beverage3.8 ± 0.33.5 ± 0.12.8 ± 0.0NDNDNDNDNTNTNTNTNTNT
Group 8 bodily fluid
SalivacNTf3.9 ± 0.03.6 ± 0.03.2 ± 0.12.5 ± 0.32.0 ± 0.0NDNTNTNTNTNTNT
Urinec4.0 ± 0.23.6 ± 0.23.9 ± 0.13.7 ± 0.23.6 ± 0.13.1 ± 0.23.0 ± 0.1NTNTNTNTNTNT
Group 9 viral transport media
PBS3.9 ± 0.13.5 ± 0.14.2 ± 0.24.0 ± 0.23.0 ± 0.14.0 ± 0.13.3 ± 0.1NDNTNTNTNTNT
10% FBS/MEM3.8 ± 0.13.5 ± 0.04.3 ± 0.33.9 ± 0.33.7 ± 0.13.6 ± 0.33.4 ± 0.43.2 ± 0.12.8 ± 0.03.0 ± 0.03.2 ± 0.22.7 ± 0.32.3 ± 0.0

Stability and infectivity of SARS-CoV-2 in different beverages and bodily fluids over an 11-week period.

Viral titers are expressed as mean ± standard deviation log10 PFU/mL. Viral titers were titrated using Vero cells. All experiments were performed using at least two independent duplicates.

aInitial virus titer is higher due to differences in virus stock batch used in a spiked-tap water sample.

bIndicates alcohol content.

cPooled saliva and urine were obtained from Innovative Research, Inc. (Novi, MI, United States).

dOnly one replicate demonstrated plaques.

eND below the detection limit. The detection limit of the assay was log10 2.0 PFU/mL.

fNT indicates not tested. FBS/MEM, 10% fetal bovine serum with minimum essential medium; PBS, phosphate-buffered saline.

TABLE 2

Viral RNA titer (log10 genome copies/mL)a
SampleDay 0Day 3Day 7Day 14Day 28
Group 1 water
Mineral water10.8 ± 6.811.0 ± 7.09.9 ± 6.810.1 ± 6.611.0 ± 6.1
Distilled water11.0 ± 7.311.1 ± 7.511.3 ± 8.010.8 ± 6.410.8 ± 5.1
Group 2 milk
Milk10.9 ± 6.411.4 ± 7.69.8 ± 6.310.8 ± 5.710.5 ± 5.9
Soy milk10.0 ± 6.310.3 ± 5.910.1 ± 5.910.0 ± 6.510.1 ± 5.6
Yogurt drink10.3 ± 6.310.8 ± 6.010.1 ± 6.410.3 ± 6.110.6 ± 6.3
Milk-coffee10.4 ± 6.010.9 ± 6.29.4 ± 5.69.0 ± 5.510.2 ± 6.1
Cocoa9.3 ± 5.810.7 ± 6.79.2 ± 6.39.5 ± 6.110.3 ± 5.7
Group 3 juice/coffee
Apple juice10.4 ± 6.310.3 ± 5.310.2 ± 6.610.3 ± 5.410.6 ± 5.5
Orange juice10.3 ± 7.010.8 ± 6.210.8 ± 6.110.8 ± 6.710.0 ± 6.1
Tomato juice9.3 ± 5.610.0 ± 5.810.7 ± 6.610.7 ± 6.010.1 ± 5.4
Flavored fruit juice11.1 ± 7.510.2 ± 5.210.2 ± 6.110.8 ± 5.910.3 ± 5.8
Black coffee11.0 ± 7.311.5 ± 5.910.0 ± 6.210.8 ± 6.310.8 ± 6.0
Group 4 carbonated beverage
Cola10.4 ± 4.610.9 ± 4.411.1 ± 6.510.1 ± 5.510.7 ± 6.3
Lemon-lime carbonated beverage10.6 ± 6.910.3 ± 6.19.6 ± 5.69.9 ± 5.910.9 ± 6.7
Group 5 tea
Green tea11.1 ± 7.211.2 ± 6.210.2 ± 6.610.8 ± 6.910.6 ± 5.8
Black tea (Oolong tea)11.1 ± 6.711.6 ± 7.410.0 ± 4.910.9 ± 6.610.1 ± 5.4
Herbal tea (Artemisia capillaris)11.2 ± 7.111.3 ± 6.010.9 ± 7.010.5 ± 5.510.1 ± 4.1
Group 6 alcohol beverage
Beer, 5%b11.4 ± 8.011.1 ± 7.310.7 ± 7.010.6 ± 6.010.8 ± 5.4
Sparkling sake, 5%a10.2 ± 5.911.1 ± 6.010.9 ± 7.09.8 ± 4.910.9 ± 4.5
Carbonated distilled beverage (shochu), 9%a10.6 ± 5.711.5 ± 6.911.2 ± 7.29.7 ± 5.410.8 ± 6.4
White wine, 11%a10.9 ± 7.110.8 ± 6.89.6 ± 5.210.0 ± 5.510.6 ± 6.4
Japanese wine (sake), 15.6%a10.8 ± 5.310.5 ± 6.69.7 ± 6.710.2 ± 6.210.4 ± 5.9
Group 7 health beverage
Sports drink P10.8 ± 6.611.5 ± 7.411.1 ± 7.510.9 ± 6.610.8 ± 6.1
Amino sports beverage10.5 ± 6.411.0 ± 5.910.9 ± 6.910.5 ± 6.710.7 ± 5.8
Multivitamin beverage10.0 ± 5.79.5 ± 4.79.9 ± 6.610.0 ± 4.79.3 ± 5.5
Energy tonic10.9 ± 5.810.9 ± 6.69.7 ± 5.29.9 ± 5.710.8 ± 6.9
Vinegar beverage9.7 ± 5.110.9 ± 6.79.9 ± 5.610.6 ± 5.310.7 ± 5.4
Group 8 bodily fluid
SalivabNTc9.7 ± 6.510.5 ± 7.311.0 ± 6.210.9 ± 6.3
Urineb10.5 ± 6.210.9 ± 6.710.2 ± 7.210.2 ± 6.511.1 ± 5.5
Group 9 viral transport media
PBS11.2 ± 7.511.2 ± 6.810.0 ± 5.211.0 ± 6.710.9 ± 5.5
10% FBS/MEM11.1 ± 7.111.7 ± 8.111.5 ± 7.811.0 ± 6.310.9 ± 5.5

SARS-CoV-2 genome levels in different beverages and bodily fluids as determined by real-time PCR.

Viral genome levels are expressed as mean ± standard deviation log10 genome copies/mL. Genome level was determined by real-time PCR by using the E-gene for detection. All experiments were performed using at least two independent duplicates.

aIndicates alcohol content.

bPooled saliva and urine were obtained from Innovative Research, Inc. (Novi, MI, United States). FBS/MEM, 10% fetal bovine serum with minimum essential medium; PBS, phosphate-buffered saline.

cNT indicates not tested.

TABLE 3

SampleHalf-life value (Day)
Group 1 water
Mineral water52.7
Tap water15.1
Distilled water25.7
Group 2 milk
Milk38.6
Soy milk38.6
Yogurt drink3.0
Milk-coffee6.3
Cocoa8.4
Group 3 juice/coffee
Apple juice0.7
Orange juice4.7
Tomato juice3.4
Flavored fruit juice2.6
Black coffee21
Group 4 carbonated beverage
Cola4.5
Lemon-lime carbonated beverage4.0
Group 5 tea
Green tea1.2
Black tea (Oolong tea)NTc
Herbal tea (Artemisia capillaris)NT
Group 6 alcohol bevarage
Beer, 5%a9.2
Sparkling sake, 5%a1.6
Carbonated distilled beverage (shochu), 9%a14
White wine, 11%aNT
Japanese wine (sake), 15.6%a6.5
Group 7 health beverage
Sports drink P1.6
Amino sports beverage0.5
Multivitamin beverage1.6
Energy tonicNT
Vinegar beverage2.1
Group 8 bodily fluid
Salivab4.0
Urineb10.5
Group 9 viral transport media
PBS17.5
10% FBS/MEM15.4

Half-life value (Day) of SARS-CoV-2 spiked in different beverages and bodily fluids.

The half-life value (day) of the infectious virus in each liquid sample was calculated using;

Half-life value (t 1/2) = log102/k, k = decay constant.

aIndicates alcohol content.

bPooled saliva and urine were obtained from Innovative Research, Inc. (Novi, MI, United States).

FBS/MEM, 10% fetal bovine serum with minimum essential medium; PBS, phosphate-buffered saline.

cNT indicates not tested.

Discussion

Our data showed that SARS-CoV-2 infectivity was stable in commonly consumed beverages and bodily fluids at optimal storage conditions. These results demonstrated virus stability even in beverages with significant alcohol content, such as Japanese wine sake (15.6% of alcohol content). While there has been little evidence of the isolation of SARS-CoV-2 from sewage water, infectious virus was detected in spiked tap water and bodily fluids up to 2-months after incubation in which their half-life values were between 4.0 and 52.7 days (Table 3), indicating prolonged virus stability in drinking water and possibly wastewater. Viral RNA could still be detected at high levels in samples that did not demonstrate infectivity, concurring with that of previous studies that viral RNA levels do not reflect infectivity. Of note, in a similar experiment using a dengue virus (Supplementary Table 1), no infectious particles were detected after inoculation in all of the spiked-alcoholic beverage samples. Infectious SARS-CoV-2 could still be detected for the length of the experiment, of up to 77 days, in common beverages, including water and milk. While SARS-CoV-2 suspended in water, milk, and soy milk remained infectious up to day 77 of refrigeration, infectious virus particles were not detected in acidic beverages (fruit juices, cola, vinegar drink, and white wine) by day 7 after refrigeration. Of note, infectious virus particles were not detected in tea beverages immediately after incubation, indicating the presence of active compounds that may hamper SARS-CoV-2 infectivity in vitro. In all, the study provided insights into SARS-CoV-2 infectivity in common commercial beverages, with the longest follow-up period to date being 77 days, and it also demonstrated that SARS-CoV-2 has great stability in a range of environmental conditions. While plaque assay is laborious and requires high-level biosafety containment (BSL-3 facility), additional means of monitoring, including quantification of viral proteins by mass spectrometry (Gouveia et al., 2020), may be useful as proxies for infectious virus particles, and will be complementary in monitoring virus infectivity and potential risks.

Although aerosol transmission remains the main route of transmission for SARS-CoV-2, other routes of transmission including surface contact and fecal–oral route could not be ruled out. In this context, the possible risk of Middle East respiratory syndrome (MERS) transmission in contaminated milk has been suggested previously (van Doremalen et al., 2014). While, SARS-CoV-2 RNA has been detected in beverages and biological samples including urine of some patients (Wang et al., 2020; Wu et al., 2020; Xiao et al., 2020), there is limited evidence of transmission by SARS-CoV-2 through food consumption or fecal–oral transmission (Xiao et al., 2020). As human gut enterocytes have been reported to be permissive to the replication of SARS-CoV-2 (Lamers et al., 2020), these studies imply that further studies would be needed to determine virus transmissibility through the fecal–oral route. Viral transmission may be affected by various environmental factors, including temperature, humidity, and route of transmission (Chin et al., 2020; Ratnesar-Shumate et al., 2020; Ren et al., 2020). Additionally, with the current industry standards for food manufacturing (Anelich, 2020), the risk of food contamination through exposure to contaminated products and contamination of the production line is likely low and thus, public health threat due to the consumption of contaminated food is likely limited. However, given that commercially produced beverages are often produced on a large-scale and exported to other countries, the finding of this study demonstrating that SARS-CoV-2 is stable in optimal conditions for more than 2 months indicates that a sufficient amount of infectious virus may potentially lead to virus transmission, and this points to possible exposure through the handling of contaminated food and beverages. Newer approaches and paradigm shift to the global food and beverage supply chain, including control measures including routine monitoring and disinfection, will be key in reducing the risk of exposure and in outbreak control and prevention.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Author contributions

MF, ZM, KM, and MLM contributed to the design and implementation of the research, to the analysis of the results, and to the writing of the manuscript. MF, ZM, and MLM carried out the experiments. KM and MLM contributed reagents to the study. MLM conceived the study and was in charge of overall direction and planning. All authors contributed to the article and approved the submitted version.

Funding

This research was supported by the Japan Agency for Medical Research and Development (AMED) under Grant Numbers JP20wm0125006 and JP21wn0125006 (Japan Program for Infectious Diseases Research and Infrastructure) and the Japan Society for the Promotion of Science KAKENHI (JP19K24679). The funders have no role in the study outcome.

Acknowledgments

We thank the National Institute of Infectious Diseases for providing the SARS-CoV-2 strain (TY-WK-521/2020) in this study. We would like to thank Minami Isaka and Kirara Iwanaga for their technical support and members of the Department of Virology, Institute of Tropical Medicine, Nagasaki University, for providing technical advice and support. MF is a recipient of the Taniguchi Scholarship, BIKEN Foundation. MF and ZM are grateful for the academic support from the Program for Nurturing Global Leaders in Tropical and Emerging Communicable Diseases of the Graduate School of Biomedical Sciences, Nagasaki University.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.667956/full#supplementary-material

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Summary

Keywords

SARS-CoV-2, virus stability, commercial beverages, body fluids, food hygiene and safety

Citation

Fukuta M, Mao ZQ, Morita K and Moi ML (2021) Stability and Infectivity of SARS-CoV-2 and Viral RNA in Water, Commercial Beverages, and Bodily Fluids. Front. Microbiol. 12:667956. doi: 10.3389/fmicb.2021.667956

Received

15 February 2021

Accepted

29 March 2021

Published

05 May 2021

Volume

12 - 2021

Edited by

Pierina Visciano, University of Teramo, Italy

Reviewed by

Arryn Craney, Weill Cornell Medical Center, United States; Jean Armengaud, Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), France

Updates

Copyright

*Correspondence: Meng Ling Moi,

†These authors have contributed equally to this work

This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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