| Literature DB >> 34221893 |
Javier E Sanchez-Galan1,2,3, Grimaldo Ureña2,4, Luis F Escovar5, Jose R Fabrega-Duque6, Alexander Coles6, Zohre Kurt2,7,3,8.
Abstract
Understanding risks, putting in place preventative methods to seamlessly continue daily activities are essential tools to fight a pandemic. All social, commercial and leisure activities have an impact on the environmental media. Therefore, to accurately predict the fate and behavior of viruses in the environment, it is necessary to understand and analyze available detection methods, possible transmission pathways and preventative techniques. The aim of this review is to critically analyze and summarize the research done regarding SARS-COV-2 virus detection, focusing on sampling and laboratory detection methods in environmental media. Special attention will be given to wastewater and sewage sludge. This review has summarized the survival of the virus on surfaces to estimate the risk carried by different environmental media (water, wastewater, air and soil) in order to explain which communities are under higher risk. The critical analysis concludes that the detection of SARS-CoV-2 with current technologies and sampling strategies would reveal the presence of the virus. This information could be used to design systematic sampling points throughout the sewage systems when available, taking into account peak flows and more importantly economic factors on when to sample. Such approaches will provide clues for potential future viral outbreak, saving financial resources by reducing testing necessities for viral detection, hence contributing for more appropriate confinement policies by governments and could be further used to define more precisely post-pandemic or additional waves measures if/ when needed.Entities:
Keywords: COVID-19; Cost-effective outbreak monitoring; Environmental media; Post-pandemic decision making tool; SARS-CoV-2; Sewage line sampling
Year: 2021 PMID: 34221893 PMCID: PMC8239206 DOI: 10.1016/j.jece.2021.105881
Source DB: PubMed Journal: J Environ Chem Eng ISSN: 2213-2929
Recovery of SARS-CoV-2 from wastewater using concentration methods targeting N1 and N2 region via rt-PCR.
| Methods for concentration | Volume of the sample used (mL) | SARS-CoV-2 seeded (GC/mL) | Sampling region | Mean amplification cycles with rt-PCR for minimum detection | Recovery after concentration (%) | Fold change after concentration | Reference |
|---|---|---|---|---|---|---|---|
| Ultrafiltration | 8 | none | Italy | 36.38 | 3.9 | ||
| 250 | none | Spain | 8–23 | ||||
| Double ultrafiltration | 8 | none | Sweden | 36.64–38.15 | 1.1–6.2 | ||
| Polyethylene glycol (PEG) precipitation | 200 | 4.3 × 103 | Argentina | 2.7–16.7 | |||
| 200 | 4.3 × 102 | Argentina | 0–26.4 | ||||
| 200 | none | Argentina | Not detected (<45) | ||||
| 200 | none | Spain | 38–52.8 | ||||
| Aluminum polychloride (PAC) flocculation | 200 | 4.3 × 103 | Argentina | 0.7–21.0 | |||
| 200 | 4.3 × 102 | Argentina | 7.8–93.6 | ||||
| 200 | none | Argentina | Not detected (<45) | ||||
| 200 | none | Spain | 30.2–42 | ||||
| Skimmed milk flocculation | 250 | none | Spain | 23–37 | |||
| Electropositive filtration | 100 | none | China | 0 | |||
| 100 | 1.0 × 102 | China | 1 | ||||
| 100 | 1.0 × 103 | China | 21.4 |
Persistence of coronaviruses on different surfaces under different temperatures (inoculum of all the surfaces is either equal to or above 103 viral titter).
| Virus | Surface/Media | Persistence | Temperature (°C) | Relative humidity (%) | Reference |
|---|---|---|---|---|---|
| MERS-CoV | Steel | 48 h | 20 | ||
| 8–24 h | 30 | ||||
| Plastic | 48 h | 20 | |||
| 8–24 h | 30 | ||||
| Copper | >28 days | 4 | |||
| 48 h | 20 | ||||
| 2–24 h | 30 | ||||
| SARS-CoV | Metal | 5 days | 20–22 | ||
| Steel | 50 h | 21–23 | 40 | ||
| Copper | 20 h | 21–23 | 40 | ||
| Wood | 4 days | 20–22 | |||
| Paper | <5 min up to 5 days | 20–22 | |||
| Cardboard | 8 h | 21–23 | 40 | ||
| Disposable gown | 1 h- 2 days | 20–22 | |||
| Plastic | 4–9 days | 22–25 | |||
| 75 h | 21–23 | 40 | |||
| HCoV | Steel | 5 days | 21 | ||
| Copper | <5 min | 21 | |||
| Aluminum | 2–8 h | 21 | |||
| Glass | 5 days | 21 | |||
| Plastic | 2–6 days | 20–22 | |||
| PVC | 5 days | 21 | |||
| Silicon rubber | 5 days | 21 | |||
| Latex surgical glove | <8 h | 21 | |||
| Ceramic | 5 days | 21 | |||
| Teflon | 5 days | 21 | |||
| SARS-CoV-2 | Paper | 3 h | 22 | 65 | |
| Tissue paper | 3 h | 22 | 65 | ||
| Wood | 2 days | 22 | 65 | ||
| Cloth | 2 days | 22 | 65 | ||
| Glass | 4 days | 22 | 65 | ||
| Banknote | 4 days | 22 | 65 | ||
| Copper | 10 h | 21–23 | 40 | ||
| Cardboard | 35 h | 21–23 | 40 | ||
| Stainless steel | 7 days | 22 | 65 | ||
| 60 h | 21–23 | 40 | |||
| Plastic | 7 days | 22 | 65 | ||
| 80 h | 21–23 | 40 | |||
| Mask inner layer | 7 days | 22 | 65 | ||
| Mask outer layer | >7 days | 22 | 65 | ||
| Hand soap (2%) | 15 min | 22 | 65 |
Persistence of coronaviruses on different media related to wastewater under different temperatures (inoculum of all the surfaces is either equal to or above 106 viral titer).
| Virus | Media | Persistence | Temperature (°C) | Relative humidity (%) | Reference |
|---|---|---|---|---|---|
| SARS-CoV | Sterilized water | 3–4 days | 21–23 | ||
| Dechlorinated tap water | >14 days | 4 | |||
| Dechlorinated tap water | 2 days | 20 | |||
| Wastewater | 2 days | 20 | |||
| Domestic sewage | >14 days | 4 | |||
| Domestic sewage | 2 days | 20 | |||
| Aerosol | >3 h | 21–23 | 65 | ||
| Sludge | 96 h | 22 | |||
| HCoV | Tap water | >390 days | 4 | ||
| Tap water | 10–13 days | 23 | |||
| Wastewater | 2–4 days | 23 | |||
| TGEV | Reagent grade water | >49 days | 4 | ||
| Reagent grade water | >15 days | 25 | |||
| Lake water | >14 days | 4 | |||
| Wastewater | >9 days | 23–25 | |||
| Pasteurized sludge | >35 days | 4 | |||
| MHV | Reagent grade water | >15 days | 4 | ||
| Reagent grade water | >49 days | 25 | |||
| Lake water | >49 days | 4 | |||
| Wastewater | >7 days | 23–25 | |||
| Pasteurized sludge | >35 days | 4 | |||
| SARS-CoV-2 | Aerosol | >3 h | 21–23 | 65 | |
| Aerosol –tissue culture media | 180 min | 19–22 | 68–88 | ||
| Aerosol- tissue culture media | 360 | 19–22 | 40–60 | ||
| Aerosol- artificial saliva | 600 | 19–22 | 68–88 | ||
| Aerosol- artificial saliva | 240 min | 19–22 | 40–60 |
Extrapolated based on the data plots
Doses and time needed for total inactivation of SARS-CoV [112].
| Chlorine | Chlorine dioxide | |||
|---|---|---|---|---|
| SARS-CoV | Dose (mg/L) | Time (min) | Dose (mg/L) | Time (min) |
| 10 | 10 | 10 | > 30 | |
| 20 | <1 | 20 | 5 | |
Fig. 1Proposed sampling points (red) of a sewage line on a hypothetical sewer map. Every dot represents a sewage line entrance of a community with minimum 10 houses where length of the lines are representing the distances of each sewage line from each other. Sampling was proposed to be twice a day (morning and evening) on the peak flow. Every dot represents an available sampling line.