| Literature DB >> 33097261 |
Manvendra Patel1, Abhishek Kumar Chaubey1, Charles U Pittman2, Todd Mlsna2, Dinesh Mohan3.
Abstract
The year 2020 brought the news of the emergence of a new respiratory disease (COVID-19) from Wuhan, China. The disease is now a global pandemic and is caused by a virus named SARS-CoV-2 by international bodies. Important viral transmission sources include human contact, respiratory droplets and aerosols, and through contact with contaminated objects. However, viral shedding in feces and urine by COVID-19-afflicted patients raises concerns about SARS-CoV-2 entering aquatic systems. Recently, targeted SARS-CoV-2 genome fragments have been successfully detected in wastewater, sewage sludge and river waters around the world. Wastewater-based epidemiology (WBE) studies can provide early detection and assessment of COVID-19 transmission and the growth of active cases within given wastewater catchment areas. WBE surveillance's ability to detect the growth of cases was demonstrated. Was this science applied throughout the world as this pandemic spread throughout the globe? Wastewater treatment efficacy for SARS-CoV-2 removal and risk assessments associated with treated water are reported. Disinfection strategies using chemical disinfectants, heat and radiation for deactivating and destroying SARS-CoV-2 are explained. Analytical methods of SARS-CoV-2 detection are covered. This review provides a more complete overview of the present status of SARS-CoV-2 and its consequences in aquatic systems. So far, WBE programs have not yet served to provide the early alerts to authorities that they have the potential to achieve. This would be desirable in order to activate broad public health measures at earlier stages of local and regional stages of transmission.Entities:
Keywords: Coronavirus disease; Covid-19 disease; Removal of SARS-CoV-2; SARS-CoV-2
Year: 2020 PMID: 33097261 PMCID: PMC7531938 DOI: 10.1016/j.scitotenv.2020.142698
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1Analytical presentation of available literature on SARS-CoV-2 (A) SARS-CoV-2 published papers available as per “web of science” database, (B) SARS-CoV-2 preprints on medRxiv and bioRxiv database, (C) peer reviewed “SARS-CoV-2” articles (data available as per different mentioned keys) on “web of science” database, (D) “SARS-CoV-2” preprints (data available as per different mentioned keys) on medRxiv and bioRxiv database.
Persistence of SARS-CoV-2 in/on different environmental matrices.
| Matrix | Temp. (°C) | Relative humidity (%) | Persistence | 100% decay time | Reference |
|---|---|---|---|---|---|
| Aerosol | 21–23 | 65 | 3 h | NR | ( |
| Aerosol | RT | NR | 16 h | NR | ( |
| Banknote paper | 22 | 65 | 2 d | 4 d | ( |
| Cardboard | 21–23 | 65 | 1 d | 2 d | ( |
| Cloth | 22 | 65 | 1 d | 2 d | ( |
| Copper | 21–23 | 65 | 4 h | 8 h | ( |
| Cotton | 20 | 35–40 | 1 h | 4 h | ( |
| Gloves (chemical) | 20 | 35–40 | 4 d | 4 d | ( |
| Gloves (nitrile) | 20 | 35–40 | 7 d | 7 d | ( |
| N95 mask | 20 | 35–40 | 14 d | 21 d | ( |
| N100 mask | 20 | 35–40 | 14 d | 21 d | ( |
| Paper | 22 | 65 | 30 min | 3 h | ( |
| Plastic (polypropylene) | 21–23 | 65 | 3 d | 4 d | ( |
| Plastic | 22 | 65 | 4 d | 7 d | ( |
| Plastics from face shield | 20 | 35–40 | 21 d | 21 d | ( |
| Stainless steel | 21–23 | 65 | 3 d | 4 d | ( |
| Stainless steel | 22 | 65 | 4 d | 7 d | ( |
| Stainless steel | 20 | 35–40 | 14 d | 21 d | ( |
| Surgical mask outer layer | 22 | 65 | 7 d | NR | ( |
| Surgical mask inner layer | 22 | 65 | 4 d | 7 d | ( |
| Tissue paper | 22 | 65 | 30 min | 3 h | ( |
| Tyvek | 20 | 35–40 | 14 d | 21 d | ( |
| Virus transport medium | 4 | – | 14 d | ( | |
| 22 | – | 14 d | |||
| 37 | – | 2 d | |||
| 56 | – | 30 min | |||
| 70 | – | 5 min | |||
| Wood | 22 | 65 | 1 d | 2 d | ( |
15.8% at the end 3 h.
55–100% at the end 16 h.
Only 10% decline in 14 d.
Presence of SARS-CoV-2 and its viral RNA found in wastewater, sewage sludge and river water around the world.
| Country | City/state | Water/sludge type | Sample concentration | Extraction technique | Analysis method | Genome target region | Detection frequency | Detected viral genome copies/L | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Wastewaters | |||||||||
| Australia | Brisbane, Queensland | Untreated wastewater | RNA is extracted directly from electronegative membranes and ultrafiltration | RNeasy PowerWater Kit, RneasyPowerMicrobiome Kit; (Qiagen) | RT-qPCR | N | 2/9 (22%) | 0.19–1.2 × 102 | ( |
| Brazil | Florianopolis, Santa Catalina | Urban sewage | – | QIAamp viral RNA mini kit (Qiagen) | Real time RT-PCR | N1, | 4/6 (66.67%) | 5.49–6.68 log10 | ( |
| Brazil | Niterói, State of Rio de Janeiro | Raw sewage samples | Ultracentrifugation | QIAamp® Viral RNA Mini kit (QIAGEN, CA, USA) and a QIAcube® automated system (QIAGEN) | RT-qPCR | N2 | 5/12 (41.6) | ( | |
| Chile | Farfana, Santiago | WWTP influent | Ultracentrifugation | QIAamp viral RNA mini kit (Qiagen) | Taqman 2019-nCoV assay Kit v1 (ThermoFisher) | ORF1, | 2/4 (50%) | 354–2304 | ( |
| WWTP effluent | 2/4 (50%) | 20–167 | |||||||
| Trebal Santiago | WWTP influent | 2/4 (50%) | 628–4805 | ||||||
| WWTP effluent | ¼ (25%) | 0–10 | |||||||
| China | Wuchang Fangcang Hospital, Wuhan | Hospital wastewater | Centrifugation | EZ1 virus Mini kit (Qiagen, Germany) | AgPath-ID™ One-Step RT-PCR Kit | ORF1, | – | 0.05–1.87 × 104 | ( |
| Czech Republic | Within Czech Republic | Untreated wastewater samples | Direct flocculation using beef extract solution in glycine buffer | RT-qPCR | 13/112 (11.6%) | ( | |||
| France | Paris | Raw wastewater | Centrifugation | PowerFecal Pro kit (QIAGEN) on a QIAsymphony automated extractor (QIAGEN) | RT-qPCR | E | 100% | – | ( |
| France | Paris | Untreated wastewater | Ultracentrifugation | PowerFecal Pro kit on a QIAsymphony extractor | RT-qPCR | E | 23/23 (100%) | >106.5 | ( |
| Treated wastewater | 6/8 (75%) | ~105 | |||||||
| Japan | Ishikawa Toyama | Influent WWTPs | PEG8000 precipitation | QIAamp viral RNA mini kit (Qiagen) | qRT-PCR | – | – | 2.1 × 104–4.4 × 104 | ( |
| Japan | Yamanashi | Secondary treated wastewater | Electronegative membrane vortex (EMV) method | RNeasy PowerWater Kit (Qiagen) | RT-qPCR | ORF1ab, | 1/5 (20%) | 2.4 × 103 | ( |
| India | Jaipur | Untreated wastewater | Adsorption | Allplex™ 2019-nCoV Assay kit (cat# RP10244Y RP10243X) | Real Time-PCR | ORF1ab, S, E, N and RdRp | 2/6 (33.34%) | – | ( |
| India | Ahmedabad | Untreated wastewater | PEG precipitation of centrifugated supernatant | NucleoSpin® RNA | RT-PCR | ORF1, | 100% | 0.78 × 102- | ( |
| Treated wastewater | Nil | – | |||||||
| Israel | Tel Aviv metropolis | Sewage | Polyethylene glycol (PEG) or alum (20 mg/l) precipitation followed by centrifugation | RNeasy mini kit- QIAGEN and EasyMAG -bioMerieux, France | RT-qPCR | E | 10/26 (38.5%) | ( | |
| Italy | Milan, | Untreated wastewater | Two-phase PEG-dextran method | NucliSENS miniMAG semi-automated extraction system with magnetic silica | Nested RT-PCR and real-time RT-qPCR | ORF1ab, | 6/12 (50%) | – | ( |
| Italy | Monza/Brianza | WWTPs | Filtration | QIAMP VIRAL RNA mini kit | Real time RT-PCR | – | – | – | ( |
| Netherlands | Amsterdam, | Sewage wastewater | Ultrafiltration | RNeasy PowerMicrobiome Kit, Magnetic extraction reagents of the Biomerieux Nuclisens kit in combination with the semi-automated KingFisher mL | Real-time RT-PCR | N, | 14/24 (58%) | 2.6–2200 × 103 | ( |
| Pakistan | Lahore | Sewage water samples | Centrifugation | Hero 32 RNA extraction system | RT-qPCR | ORF1ab, N | ( | ||
| Pakistan | Several cities | Untreated wastewater samples | Polymers, dextran and polyethylene glycol (PEG) | Spin star viral nucleic acid kit 1.0 | RT-qPCR | ORF1ab | – | – | ( |
| Spain | Barcelona | Frozen archived wastewater samples | 20% polyethylene glycol 6000 for precipitation | NucliSENS® miniMAG® extraction system (bioMérieux) | RT-qPCR | IP2, IP4 | 1/9 (11%) | 8.3 × 102 | ( |
| Spain | Murcia, | WWTP | Centrifugation | NucleoSpin RNA virus kit | RT-qPCR | N | 37/72 (51.4%) | 5.1–5.5 log10 | ( |
| Spain | Ourense | Wastewater | Ultrafiltration | STARMag 96 × 4 Universal Cartridge Kit (Seegene, Seoul, South Korea) | RT-qPCR | N, | – | 7.5–15 cp/ml | ( |
| Spain | Valencia | Wastewater | Aluminum-driven flocculation, centrifugation | Nucleospin RNA virus Kit | RT-qPCR | N | 13/15 | 5.22–5.99 log10 | ( |
| Turkey | Istanbul | Wastewater | Centrifugation | QIAamp cador Pathogen | RT-qPCR | RdRp | 7/9 (77.78%) | 0.0–2.6 × 104 | ( |
| USA | Bozeman, | Raw wastewater | Ultrafiltration | RNeasy Mini Kit (Qiagen) | RT-qPCR | N | 7/7 (100%) | >3 × 104 | ( |
| USA | Louisiana | Untreated wastewater | Ultrafiltration and adsorption-elution method using electronegative membrane | ZR viral RNA Kit (Zymo Research, USA) | RT-qPCR | N1, N2 | 2/7 | For N1–3.2 log10 and | ( |
| Secondary treated wastewater | 0/4 | ||||||||
| Chlorine disinfected final effluents | 0/4 | ||||||||
| USA | Massachusetts | Raw wastewater | PEG precipitation | Nucleic acid extraction | RT-qPCR | N | 10/14 (71%) | 1.2–24.0 × 103 | ( |
| USA | New York | Wastewater | Ultracentrifugation | AllPrep® PowerViral® DNA/RNA Kit | RT-qPCR | – | – | 1.68 × 105 | ( |
| USA | Southeastern Virginia | Influent wastewater samples | Centrifugation | RT-ddPCR | N1, N2, N3 | 101–104 copies/100 mL | ( | ||
| Sewage sludge | |||||||||
| Spain | Ourense | Sludge | Precipitation with polyethylene glycol (PEG) | STARMag 96 × 4 Universal Cartridge Kit (Seegene, Seoul, South Korea) | RT-qPCR | N, | – | 7.5–10 cp/ml | ( |
| Turkey | Istanbul | Primary sludge, | Centrifugation | Roche MagNA pure LC system (Penzberg, Germany) | RT-qPCR | RdRp | 9/9 (100%) | 1.15 × 104–4.02 × 104 | ( |
| USA | New haven, Connecticut | Primary sewage sludge | – | RNeasey PowerSoil Total RNA kit, (Qiagen). | one-step qRT-PCR | N | 44/44 (100%) | 1.7 × 106–4.6× 108 | ( |
| River waters | |||||||||
| Equador | Quito | Urban river water | Skimmed milk flocculation method then centrifugation | AccuPrep® Universal RNA extraction kit - Bioneer | RT-qPCR | N1, N2 | 3/3 (100%) | 2.91 × 105–3.19 × 106 | ( |
RT-PCR = Reverse transcription polymerase chain reaction, RT-qPCR = Reverse transcription quantitative polymerase chain reaction, qRT-PCR = Quantitative reverse transcription polymerase chain reaction.
Fig. 2Common analytical steps required for SARS-CoV-2 RNA analysis in water and wastewater samples.
Common sampling and storage techniques for SARS-COV-2 detection in aqueous systems.
| Sampling method | Container (volume) | Sample storage temperature (°C) | References |
|---|---|---|---|
| Grab (autosampler) | 100–200 mL | 4 | ( |
| Composite | 250 mL | 4 | ( |
| Grab | Sterile HDPE plastic (500–1000 mL) | 4 | ( |
| Composite | 250 mL | −20 | ( |
| Grab | – | 4 | ( |
| Composite | 1.9 L | 4 | ( |
| Composite | Plastic bottle (2 L) | −20/−80 | ( |
| Composite | 250 mL | 4 | ( |
| Grab | – | 4 | ( |
| Grab | 500 mL | ( | |
| Composite | 500 mL | ||
| Grab | 1 L plastic bottle | On ice | ( |
| Grab | 500 mL polypropylene | – | ( |
| Composite | Polypropylene bottle | −80 | ( |
Advantages and drawbacks of viral concentration methodologies (Abdelzaher et al., 2008; Ahmed et al., 2020b; Bofill-Mas and Rusiñol, 2020).
| Concentration principle | Concentration method | Advantages | Drawbacks | References |
|---|---|---|---|---|
| Adsorption | All* | - Rapid process requires <40 m for sample processing | - Cleaning and washing vessels are required | ( |
| Centrifugation-based | All* | - High recovery rates | - Need expensive equipment | ( |
| Ultracentrifugation | - No preconditioning | - Applicable only for small volume samples | ||
| Filtration-adsorption | Dual membrane system (polyvinylidene fluoride (PVDF) + HA membrane) | - Can sequentially concentrate bacteria and virus separately | - Large differences in viral concentrations in samples can cause differences in volume needed for filtration | ( |
| Negative filters | All* | - Lesser costs | - Not applicable for turbid samples and large volume samples | ( |
| Positive filters | All* | - Can be applied for large sample volumes | - Not applicable for turbid samples | |
| Virocap/ | - USEPA recommended process | - Costly process | ||
| Flocculation and Precipitation | All* | - Effective for turbid samples | - Not applicable for large sample volumes | ( |
| Polyethyleneglycol dextan precipitation | -WHO recommended process for poliovirus surveillance | |||
| Polyethylene glycol 8000 | -Centrifuge (upto 10,000 | - Process consumes 4–6 h | ||
| Skimmed milk flocculation | - Can be deployed in field (Virwatest) | -Process is time consuming | ||
| Ultrafiltration | Tangential flow Ultrafiltration | - Efficient for large sample volumes | - Requires filter conditioning | ( |
| Dead end ultrafiltration | - Automatization is possible | – | ||
| Concentrating pipette Select™ (Innovaprep®) | - Process is fast and reproducible | - Requires expensive consumables and equipment | ||
| Amicon® Ultra-15 centrifugal filter | - Rapid process (usually 1 h, time depends upon sample's turbidity) - Centrifuge (up to 4750 | - Only applicable for liquid samples | ||
| Centricon Plus-70 centrifugal filter | - Rapid process (usually 1 h, time depends upon sample's turbidity) | |||
| Others | Monolyth chromatography | - High recoveries | - Requires expensive consumables and equipment | ( |
* All- the overall advantages and disadvantages of a concentration principle and all the methods based upon discussed in this section.
Possible SARS-CoV-2 removal from traditional wastewater treatment plants (WWTPs).
| City/country | Sampling date | SARS-CoV-2 RNA in influent wastewater | WWTPs treatment techniques | SARS-CoV-2 RNA in effluent wastewater | Removal status | Reference |
|---|---|---|---|---|---|---|
| Ahmedabad/ | 08/05/2020 | 0.78 × 102 | UASB | 0 | Yes | ( |
| Jaipur/ | 03/05/2020 | Positive | MBBR | 0 | Yes | ( |
| Santiago/Chile | 25/05/2020 | 354–2304 | – | 20–167 | Yes | ( |
| 628–4805 | 0–10 | |||||
| Paris/France | 05/03/2020 | >106.5 | – | ~105 | Yes | ( |
| Murcia/Spain | 12/03/2020 | N1: 1.4 × 104 | Secondary treatment, | <2.5 × 104 | Yes | ( |
| Tertiary treatment | 0 | |||||
| Valencia/ | 12/02/2020 | 104–105 | – | 0 | Yes | ( |
| Wuchang/ | – | 0.05–1.87 × 104 | Septic tank, | 0 at 6700 g/m3 sodium hypochlorite application | Yes | ( |
UASB - Up-flow anaerobic sludge blanket.
MBBR - Moving bed biofilm reactor.
SBR - Sequencing batch Reactor.
Inactivation of SARS-CoV-2 under different heat conditions (Wang et al., 2020c).
| Temperature | Virus titers (TCID 50/mL) | ||||||
|---|---|---|---|---|---|---|---|
| 15 min | 30 min | 60 min | 90 min | 120 min | 24 h | 48 h | |
| 37 | 5.6 × 106 | 1.0 × 107 | 2.5 × 107 | 1.8 × 107 | 2.5 × 107 | 1.8 × 106 | 320 |
| 42 | 3.2 × 105 | 3.2 × 105 | 1.9 × 106 | n.d. | 1–10 | Undetectable | |
| 56 | 2.5 × 103 | Undetectable | Undetectable | n.d. | |||
| 56 (50% human serum) | n.d. | Undetectable | n.d. | ||||
| 60 | Undetectable | Undetectable | Undetectable | ||||
| Unheated | 1.4 × 107 | ||||||
n.d., not determined.