| Literature DB >> 35592728 |
Pabel Cervantes-Avilés1, Iván Moreno-Andrade2, Julián Carrillo-Reyes2.
Abstract
Currently, SARS-CoV-2 has been detected in the influent of wastewater treatment plants (WWTP), pumping stations, manholes, sewer networks and sludge of WWTP and facilities of countries as France, Spain, Italy, Netherlands, United States, Australia, Ecuador, Brazil and Japan. Although this virus has been detected in the wastewater streams, there is no robust method for its detection and quantification in wastewater. This review compiled and analyzed the virus concentration approaches applied to detect the SARS-CoV-2, besides to provide insights about the methodology for viral concentration, limit of detection, occurrence, persistence, and perspectives post-COVID-19 related with the implications of the virus presence in wastewater. The SARS-COV-2 detection in wastewater has been related to virus concentration methods, which present different recovery rates of the virus. The most used viral concentration methods have been the polyethylene glycol (PEG) for precipitation of viral material and the ultrafiltration at molecular weight level. After viral concentration, the detection and quantification of SARS-COV-2 in wastewater are mainly via quantitative reverse transcription polymerase chain reaction (RT-qPCR), which is the clinical assay adapted for environmental purposes. Although in some experiments the positive control during RT-qPCR is running a surrogated virus (e.g., Mengovirus or Dengue virus), RT-qPCR or reverse transcription droplet digital PCR (RT-ddPCR) targeting the gene encoding nucleocapsid (N1, N2 and N3) of SARS-COV-2 are highly recommended to calculate the limit of detection in wastewater samples. Current results suggest that a rigorous methodology to elucidate the positive cases in a region from genomic copies in wastewater is needed.Entities:
Keywords: COVID-19; Coronavirus; Detection; Virus concentration; Wastewater treatment plant; Wastewater-based epidemiology
Year: 2021 PMID: 35592728 PMCID: PMC7846222 DOI: 10.1016/j.jwpe.2021.101947
Source DB: PubMed Journal: J Water Process Eng ISSN: 2214-7144
Summary of the methods used for SARS-CoV-2 detection in wastewater and its classification by virus concentration approach as Ultracentrifugation, Adsorption and precipitation, Polyethylene glycol (PEG) precipitation, Centrifugal ultrafiltration, and direct extraction.
| Concentration | RNA recovery | Quantification | Reference |
|---|---|---|---|
| Centrifugation (229 600 g, 1 h, 4 °C) | QIAamp Viran RNA Mini kit (Qiagen) | RT-qPCR | [ |
| pH adjustment (6.0 and AlCl3) + Mixing (150 rpm, 15 min) + Centrifugation (1700 g, 20 min) + Pellet resuspension (beef extract, shaking 10 min, 150 rpm) + Centrifugation (1900 g, 30 min) | Nucleo-Spin RNA virus kit (Macherey-Nagel GmbH & Co) | RT-qPCR | [ |
| pH adjustment (3.5−4) + Filtration (0.45-μm, electronegative membrane) | RNeasy PowerWater Kit and RNeasy PowerMicrobiome Kit (Qiagen) | RT-qPCR | [ |
| pH adjustment (3.5) + Pre-flocculation (1% w/w with skimmed milk) + Stirring (8 h) + Centrifugation (8000 g, 40 min) + Pellet resuspension (Phosphate buffer) | AccuPrep® Universal RNA Extraction Kit | RT-qPCR | [ |
| Addition of MgCl2 + Filtration (0.8 μm) + Buffer addition + Centrifugation (2000 g, 10 min, 4 °C) + Filtration (0.45 μm) + Ultrafiltration (50 kDa) | QIAamp Viral RNA Mini Kit (Qiagen) + QIAcube automated platform (Qiagen) | RT-qPCR | [ |
| Addition of MgCl2 + Filtration (0.45-μm, electronegative membrane) + Elution (1 mM NaOH) + Eluate recovering and neutralization (100 mM H2SO4, Tris-EDTA) + Ultrafiltration (30 kDa) | ZR Viral RNA Kit (ZymoResearch) | RT-qPCR | [ |
| Sample treatment (56 °C, 30 min) + Centrifugation + PEG-dextran (4 °C, in a separation funnel, overnight) | NucliSENS miniMAG (bioMerieux) + OneStep PCR Inhibitor Removal Kit (Zymo). | Reverse Transcription + nested PCR, RT-qPCR | [ |
| Centrifugation (4654 g, 30 min) + Centrifugal ultrafiltration (1500 g, 15 min, 100 kDa) | RNeasy PowerMicrobiome Kit (Qiagen) or Biomerieux Nuclisens kit (Biomerieux) | RT-qPCR | [ |
| Centrigugation (3000 g, 30 min) + Centrifugal ultrafiltration (1500 g, 15 min, 100 kDa) | ZR Viral RNA Kit (ZymoResearch) | RT-qPCR | [ |
| Centrifugation (4750 g, 30 min) + Centrifugal ultrafiltration (3500 g, 15 min, 10 kDa) | N.D. | RT-qPCR | [ |
| Only filtration (0.7 μm and 0.2 μm) | Qiamp Viran RNA mini kit (Qiagen) | RT-qPCR | [ |
N.D. Not Defined; > 70 % of studies report a 4 °C temperature of sample preservation, and processing time in less than 24−48 h after sampling.
Fig. 1Description of the methods applied for concentration of the SARS-CoV-2 present in the wastewater streams divided as physicochemical based (green boxes) and physical based virus concentration (orange boxes) methods. Blue circles were assigned to the steps with reported time to perform them. Red circles were assigned to steps without time reported to perform them. Concentration time is the sum of the time reported in all steps.
Comparison of limitations and benefits of RT-ddPCR and RT-qPCR techniques.
| Technique | Principle | Advantages | Disadvantages |
|---|---|---|---|
| RT-qPCR | Amount of amplified product is comparative to the fluorescence signal intensity. The sample is quantified using the reaction cycle threshold and standard curve [ | Extensive dynamic range, wide application range, low cost [ | Amplification efficiency is susceptible to PCR inhibitors [ |
| RT-ddPCR | Generates microreaction units with water-in-oil and microfluidic technology. The nucleic acids are randomly subdivided into water-in-oil droplets that undergo PCR separately [ | No external calibration curves are needed, and it may be less sensitive to inhibition and suboptimal PCR efficiency, high sensitivity, better resistance to PCR inhibitors, greater precision in quantification [ | Narrow dynamic range and high cost [ |
Detection and quantification of SARS-CoV-2 genes in wastewater and sludge from different locations of the world.
| Location | Sampling site | Inhabitants covered | Positive cases within sampling date | Gene quantified | Genetic concentration (genome units, gu, or genome copies, gc) | Ratio Samples positive/Samples analyzed | Reference |
|---|---|---|---|---|---|---|---|
| Paris | 3 WWTP | 100 000 | 90−11 200 | E gene | From: 5 × 104 gu /L (March, 05th) | Influent: 3/3 | [ |
| To: 3 × 106 gu /L (April, 09th) | |||||||
| Murcia | 6 WWTP | 750 132 | 144−976 | N gene | On average, 5.1 ± 0.3, 5.5 ± 0.2, and 5.5 ± 0.3 log10 gc/L wastewater for N1, N2 and N3 primer mixes. | Influent: 35/42 Secondary effluent: 2/18 Tertiary effluent: 0/12 | [ |
| Milan | 3 WWTP | 2 000 000 | 23,075 | ORF1ab, N and E genes | N.D. | Inffluent: 4/6 Effluent:0/6 | [ |
| Milan | 2 WWTP | 2 100 000 | 29 | ORF1ab, S and RdRP | N.D. | Influent: 2/8 | [ |
| Rome | 1 WWTP | 900 000 | 2 186 | ORF1ab, S and RdRP | N.D. | Influent: 4/4 | [ |
| Amsterdam | 1 WWTP | 790 800 | 0−530 | N and E genes | 1.2 × 102 to 1.8 × 103 gc/mL | Influent: 2/4 | [ |
| Den Haag | 1 WWTP | 980,000 | 0−323 | N and E genes | 1.2 × 101 to 7.5 × 101 gc/mL | Influent: 3/5 | [ |
| Utrecht | 1 WWTP | 371,000 | 0−289 | N and E genes | 1.2 × 101 to 1.3 × 103 gc/mL | Influent: 4/5 | [ |
| Apeldoorn | 1 WWTP | 245,000 | 0−57 | N and E genes | 2.6 × 101 to 1.8 × 102 gc/mL | Influent: 2/4 | [ |
| Amersfoort | 1 WWTP | 234,500 | 0−67 | N and E genes | 6.6 × 10° to 4.7 × 102 gc/mL | Influent: 3/4 | [ |
| Tilburg | 1 WWTP | 262,500 | 0−317 | N and E genes | 2.7 × 102 to 2.7 × 102 gc/mL | Influent: 3/3 | [ |
| Schiphol Airport | 1 WWTP | 54,000 | N.R. | N and E genes | 2.6 × 10° to 1.7 × 103 gc/mL | Influent: 3/4 | [ |
| Louisiana | 2 WWTP | 290 321 | 0−6173 | N gene | 3.1−7.5 gc/mL | Influent: 2/7 | [ |
| Effluent: 0/8 | |||||||
| Quito | 1 SN | >10 000 | 358−2077 | N gene | 2.23 × 106 to 3.19 × 106 gc/L | Sewer: 1/1 | [ |
| Brisbane | 1 PS 2 WWTP | 736 172 | 1−900 | N gene | 1.9 to 12 gc/100 m L | Pumping station: 0/1 Influent: 2/8 | [ |
| Yamanashi | 1 WWTP | N.D. | 0−57 | N gene | Influent: 4.0 × 103–8.2 × 104 gc/L | Inffluent: 5/5 | [ |
| Effluent: 1.4 × 102–2.5 × 103 gc/L | Effluent: 5/5 | ||||||
| Niterói, Rio de Janerio | 2 WWTP 8 SN | N.R. | 0−70 | N gene | Ct 36.3–39.8 | Influent: 2/2 Sewer netwrok: 3/8 | [ |
| 2 HW | Hospitals: 0/2 | ||||||
Sampling site: Wastewater treatment plant (WWTP), suburban pumping station (PS), Manhole (MH), Hospital wastewater (HW), and sewer network (SN); Positive cases within sampling date.
Calculated value from positive cases per 100 000 inhabitants; N.R. Not reported; N.D. Not Defined.
Design capacity.
Only for N genes quantification.
Before chlorination.