| Literature DB >> 33513500 |
Natalia Wiktorczyk-Kapischke1, Katarzyna Grudlewska-Buda1, Ewa Wałecka-Zacharska2, Joanna Kwiecińska-Piróg1, Laura Radtke3, Eugenia Gospodarek-Komkowska1, Krzysztof Skowron4.
Abstract
The new coronavirus SARS-CoV-2, first identified in Wuhan (China) in December 2019, represents the same family as the Serve Acute Respiratory Syndrome Coronavirus-1 (SARS-CoV-1). These viruses spread mainly via the droplet route. However, during the pandemic of COVID-19 other reservoirs, i.e., water (surface and ground), sewage, garbage, or soil, should be considered. As the infectious SARS-CoV-2 particles are also present in human excretions, such a non-droplet transmission is also possible. A significant problem is the presence of SARS-CoV-2 in the hospital environment, including patients' rooms, medical equipment, everyday objects and the air. Relevant is selecting the type of equipment in the COVID-19 hospital wards on which the virus particles persist the shortest or do not remain infectious. Elimination of plastic objects/equipment from the environment of the infected person seems to be of great importance. It is particularly relevant in water reservoirs contaminated with raw discharges. Wastewater may contain coronaviruses and therefore there is a need for expanding Water-Based Epidemiology (WBE) studies to use obtained values as tool in determination of the actual percentage of the SARS-CoV-2 infected population in an area. It is of great importance to evaluate the available disinfection methods to control the spread of SARS-CoV-2 in the environment. Exposure of SARS-CoV-2 to 65-70% ethanol, 0.5% hydrogen peroxide, or 0.1% sodium hypochlorite has effectively eliminated the virus from the surfaces. Since there are many unanswered questions about the transmission of SARS-CoV-2, the research on this topic is still ongoing. This review aims to summarize current knowledge on the SARS-CoV-2 transmission and elucidate the viral survival in the environment, with particular emphasis on the possibility of non-droplet transmission.Entities:
Keywords: Disinfection; Environment; SARS-CoV-2; Sewage; Surfaces; Transmission
Mesh:
Year: 2021 PMID: 33513500 PMCID: PMC7825822 DOI: 10.1016/j.scitotenv.2021.145260
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1Basic information about SARS-CoV-2 and COVID-19 (according to Gorbalenya et al., 2020; Lauer et al., 2020; Walls et al., 2020; Zhou et al., 2020) (COVID-19 — Coronavirus Disease 2019, MERS-CoV — Middle Eastern respiratory syndrome coronavirus, SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2).
Fig. 2Replication cycle of SARS-CoV-2 (ACE2, Angiotensin-converting enzyme 2; SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, ORF — open reading frames, RdRp — RNA-dependent RNA polymerase; TRS — transcriptional regulatory sequence).
Fig. 3The probable duration of SARS-CoV-2 on various surfaces.
Persistence of coronaviruses on non-porous surfaces.
| Surface | Virus | Temperature [°C] | Persistence [time] | Log reduction | Reference |
|---|---|---|---|---|---|
| Aluminium | HCoV-229E | 21 | 6 h | 3 | |
| Aluminium | HCoV-OC43 | 21 | 2 h | 3 | |
| Aluminium | SARS-CoV-2 | 19–21 | <4 h | 6 | |
| Brass (95–100% Cu) | HCoV-229E | 21 | 10 min | 3 | |
| Brass (85% Cu) | HCoV-229E | 21 | 50 min | 3 | |
| Brass (60% Cu) | HCoV-229E | 21 | 2 h | 2.5 | |
| Borosilicate glass | SARS-CoV-2 (DMEM) | 25 | 85.74 h | ~3.7 | |
| Borosilicate glass | SARS-CoV-2 (Muscus) | 25 | 61.23 h | ~4.2 | |
| Copper | SARS-CoV-1 | – | 8 h | 1.7 | |
| Copper | SARS-CoV-2 | – | 4 h | 1.7 | |
| Copper nickel (90% Cu) | HCoV-229E | 21 | 20 min. | 3 | |
| Ceramic | HCoV-229E | 21 | 5 days | 2 | |
| Glass | SARS-CoV-2 | 20 | 1.90 days | ~5 | |
| Glass | SARS-CoV-2 | 30 | 10.5 h | ~5.2 | |
| Glass | SARS-CoV-2 | 40 | 2 h | ~4 | |
| Glass | SARS-CoV-2 | 19–21 | 44 h | 3.5 | |
| Glass | SARS-CoV-2 | 22 | 2 days | 5.8 | |
| Glass | SARS-CoV-1 | 21–25 | 4 days | 6 | |
| Glass | HCoV-229E | 21 | 5 days | 2.5 | |
| Latex Surgical gloves | HCoV-229E | 21 | 3 h | 3 | |
| Metal | SARS-CoV-1 | 21–25 | 5 days | NG | |
| Mosaic | SARS-CoV-1 | 21–25 | 3 days | 6 | |
| Plastic (polystyrene) | HCoV-229E | 21–25 | 2 days | ~5 | |
| Plastic (polystyrene) | SARS-CoV-1 | 21–25 | 6 days | ~5 | |
| Plastic (PVC) | HCoV-229E | 21 | 5 days | 2 | |
| Plastic (Teflon) | HCoV-229E | 21 | 5 days | 2.5 | |
| Plastic | SARS-CoV-1 | NG | 3 days | 3.2 | |
| Plastic | SARS-CoV-1 | 22–25 | 28 days | ~5 | |
| Plastic | SARS-CoV-1 | 38 | 1 day | 2 | |
| Plastic | MERS-CoV | 20 | 2 days | ~5.5 | |
| Plastic | SARS-CoV-2 | – | 3 days | 3.2 | |
| Plastic | SARS-CoV-2 | 22 | 4 days | 5.8 | |
| Plastic | SARS-CoV-2 | 25–27 | 7 days | 3.8 | |
| Polymer note | SARS-CoV-2 | 20 | 2.06 days | ~4.5 | |
| Polymer note | SARS-CoV-2 | 30 | 14.7 h | ~5 | |
| Polymer note | SARS-CoV-2 | 40 | 1.4 h | ~3.9 | |
| Polysterene | SARS-CoV-2 | 19–21 | 92 h | <1 | |
| Polystyrene | SARS-CoV-2 (DMEM) | 25 | 58.07 h | ~3.3 | |
| Polystyrene | SARS-CoV-2 (Muscus) | 25 | 35.92 h | ~4.3 | |
| Stainless steel | SARS-CoV-2 (DMEM) | 25 | 84.29 h | ~3.7 | |
| Stainless steel | SARS-CoV-2 (Muscus) | 25 | 64.51 h | ~4.1 | |
| Stainless steel | SARS-CoV-2 | 20 | 1.8 days | ~4.3 | |
| Stainless steel | SARS-CoV-2 | 30 | 12.6 h | ~4.5 | |
| Stainless steel | SARS-CoV-2 | 40 | 1.5 h | ~4.3 | |
| Stainless steel | SARS-CoV-2 | – | 3 days | 3.2 | |
| Stainless steel | SARS-CoV-2 | 22 | 4 days | 5.8 | |
| Stainless steel | SARS-CoV-1 | – | 2 days | 3.2 | |
| Stainless steel | MERS-CoV | 20 | 2 days | ~5.5 | |
| Stainless steel | MERS-CoV | 30 | 1 day | ~5.5 | |
| Stainless steel | HCoV-229E | 21 | 5 days | 2 | |
| Silicon rubber | HCoV-229E | 21 | 3 days | 3 | |
| Vinyl | SARS-CoV-2 | 20 | 1.91 days | ~5.1 | |
| Vinyl | SARS-CoV-2 | 30 | 10.1 h | ~2.2 | |
| Vinyl | SARS-CoV-2 | 40 | 3 h | ~5.5 | |
| Zinc | HCoV-229E | 21 | 2 h | 0.5 |
HCoV-229E — Human Coronavirus 229E, HCoV-OC43 — Human Coronavirus OC43, SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, MERS-CoV — Middle East respiratory syndrome coronavirus, DMEM — Dulbecco's modified Eagle's medium.
Data calculated independently based on the information contained in the charts in the publication.
Persistence of coronaviruses on porous surfaces.
| Surface | Virus | Temperature [°C] | Persistence [time] | Log reduction | Reference |
|---|---|---|---|---|---|
| Banknote paper | SARS-CoV-2 | 22 | 2 days | 6 | |
| Cloth | SARS-CoV-1 | 21–25 | 5 days | NG | |
| Cloth | SARS-CoV-2 | 22 | 1 day | 4.8 | |
| Cotton | SARS-CoV-2 | 20 | 1.68 days | ~2 | |
| Cotton | SARS-CoV-2 | 30 | 11 h | ~2 | |
| Cotton | SARS-CoV-2 | 40 | – | – | |
| Cotton (low virus load (5 × 101 TCID50) | SARS-CoV-1 | 20 | <5 min | ~1.7 | |
| Cotton (high virus load (5 × 103 TCID50) | SARS-CoV-1 | 20 | <1 day | ~3.7 | |
| Cotton gauze sponges | HCoV-229E | 21 | 6 h | 3 | |
| Cardboard | SARS-CoV-1 | – | 8 h | 2 | |
| Cardboard | SARS-CoV-2 | – | 1 day | 2 | |
| Disposable gown (low virus load (5 × 101 TCID50) | SARS-CoV-1 | 20 | <1 h | ~1.7 | |
| Disposable gown (high virus load (5 × 103 TCID50) | SARS-CoV-1 | 20 | <2 days | ~3.7 | |
| Filter paper | SARS-CoV-1 | 21–25 | 5 days | – | |
| Human skin | SARS-CoV-2 (DMEM) | 25 | 9.04 h | ~2.5 | |
| Human skin | SARS-CoV-2 (Mucus) | 25 | 11.09 h | ~2.6 | |
| Paper note | SARS-CoV-2 | 20 | 2.74 days | ~3.3 | |
| Paper note | SARS-CoV-2 | 30 | 32.7 h | ~4.2 | |
| Paper note | SARS-CoV-2 | 40 | 1.6 h | ~3.8 | |
| Paper (high virus load (5 × 103 TCID50) | SARS-CoV-1 | 20 | <1 day | ~3.7 | |
| Paper | SARS-CoV-2 | 22 | 30 min. | 4.8 | |
| Surgical mask-outer layer | SARS-CoV-2 | 22 | 7 days | 5.8 | |
| Surgical mask-inner layer | SARS-CoV-2 | 22 | 4 days | 5.8 | |
| Tissue paper | SARS-CoV-2 | 22 | 30 min. | 5.5 | |
| Wood | SARS-CoV-2 | 22 | 1 day | 5.6 | |
| Wood boards | SARS-CoV-1 | 21–25 | 4 days | 6 |
HCoV-229E — Human Coronavirus 229E, SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, DMEM — Dulbecco's modified Eagle's medium.
Data calculated independently based on the information contained in the charts in the publication.
The presence of SARS-CoV-2 on patients' everyday items and items in the hospital environment.
| Items/places | Positive samples | Average SARS-CoV-2 concentration | Reference |
|---|---|---|---|
| Mobile phones | 77.8% | 0.17 copies/μL | |
| Telephones | 12.5% | – | |
| Telephones | 40.0% | – | |
| Desktop/keyboard | 16.8% | – | |
| Desktops | 16.67% | – | |
| Keyboards | 33.33% | – | |
| Computer keyboard | 0.0% | Not determined | |
| Computer mouses | 40.0% | – | |
| Self-service printers | 20.0% | – | |
| TV remote controls | 55.6% | 0.22 copies/μL | |
| Beepers | 50.0% | – | |
| Water machine buttons | 50.0% | – | |
| Elevator buttons | 42.86% | – | |
| Button in elevator | – | Not determined | |
| Hand sanitizer dispensers | 20.3% | – | |
| Hand sanitizer dispenser | 100.0% | 24.0 Ct-value | |
| Handle of sample transport box A | – | 0.84 copies/cm2 (ddPCR) | |
| Inner wall of sample transport box C | – | 2.63 copies/cm2 (ddPCR) | |
| Doorknob | 16.0% | – | |
| Door handles | 0.0% | Not determined | |
| Door handles | – | Not determined | |
| Door handle of BSC | – | 0.84 copies/cm2 (ddPCR) | |
| Door handle of 4 °C refrigerator | – | 26.25 copies/cm2 (ddPCR) | |
| Outer cover of high speed centrifuge | – | 19.95 copies/cm2 (ddPCR) | |
| Inner wall of high speed centrifuge | – | 14.70 copies/cm2 (ddPCR) | |
| Bedrails | 33.3% | 21.5 Ct-value | |
| Shelves for medical equipment | 40.0% | 23.9 Ct-value | |
| Toilets | 81.0% | 0.25 copies/μL | |
| Window shelves | 72.7% | 0.22 copies/μL | |
| Bedside tables and handrails | 70.8% | 0.26 copies/μL | |
| Floors around the patients' beds | 100.0% | – | |
| Pillow cover (Patient A's room) | 29.98% | – | |
| Duvet cover (Patient A's room) | 35.64% | – | |
| Sheet (Patient A's room) | 30.58% | – | |
| Towel (Patient A's room) | 36.98% | – | |
| Gloves | 15.4% | – | |
| Gloves | 14.29% | – | |
| Outer gloves of operator A | 37.4 copies/cm2 (ddPCR) | ||
| Goggles of operator A | – | 22.16 copies/cm2 (ddPCR) | |
| Eye protection or face shield | 1.7% | – | |
| Protective mask of operator A | – | 5.25 copies/cm2 (ddPCR) |
ddPCR — droplet digital polymerase chain reaction, BSC — biological safety cabine, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2.
Detection of SARS-CoV-1 and SARS-CoV-2 in human stool and urine.
| Human excrements | Virus | Temperature [°C] | pH samples | Viral RNA load [log10 copies/mL] | Persistence | Log reduction | Reference |
|---|---|---|---|---|---|---|---|
| Urine | SARS-CoV-1 | 20 | – | – | 17 days | Not reported | |
| Urine | SARS-CoV-1- P9 | 21–25 | – | 5 days | Not reported | ||
| Urine | SARS-CoV-2 | 4–8 | – | 2.51 | Not reported | Not reported | |
| Urine | SARS-CoV-2 | – | – | 5.48 | <3 days | Not reported | |
| Urine | SARS-CoV-2 | – | – | 5.79 | <3 days | Not reported | |
| Urine (from adult) | SARS-CoV-2 | – | – | 5.80 | 3 days | Not reported | |
| Urine (from adult) | SARS-CoV-2 | – | – | 5.70 | 4 days | Not reported | |
| Urine (from children) | SARS-CoV-2 | – | – | 5.0 | 5 days | Not reported | |
| Stool (from children) | SARS-CoV-2 | – | – | – | 10–30 days | Not reported | |
| Stool (from children) | SARS-CoV-2 | 4 | – | – | 2 days | Not reported | |
| Stool | SARS-CoV-1 | 20 | – | – | 3 days | 5 | |
| Stool (from children) | SARS-CoV-1 | 6–7 | – | 1 h | 4.75 | ||
| Stool (from adult) | SARS-CoV-1 | 7–8 | – | 3 h | |||
| Stool (from adult) | SARS-CoV-1 | 8 | – | 6 h | |||
| Stool (from adult with diarrhea) | SARS-CoV-1 | 9 | – | 4 days |
SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2.
Fig. 4Potential risk of SARS-CoV-2 transmission via the fecal-oral route.
Presence of SARS-CoV-2 in wastewater and rivers.
| Samples | Period of examination | Location | Detection method | Positive samples/total | Reference |
|---|---|---|---|---|---|
| Untreated wastewater | 5th, 6th, 7th February, 4th, 5th, 15th, 16th March 2020 | Netherlands | RT-PCR | 14/24 (58%) | |
| Wastewater in a catchment | From 20th March to 1st April 2020 | Australia | RT-qPCR | 2/9 (22%) | |
| Raw wastewater | from 5th March to 7th April 2020 | France | RT-qPCR | 23/23 (100%) | |
| Treated wastewater | From 5th March to 7th April 2020 | France | RT-qPCR | 6/8 (75%) | |
| Influent sewage samples | Between February and April 2020 | Italy (Milan and Rome) | RT-qPCR and nested RT-PCR | 6/12 (50%) | |
| Sewage from three WWTPs | From 14th to 22th April 2020 | Italy | RT-qPCR | 4/12 (33.34%) | |
| Series of longitudinal metropolitan wastewater | From 12th February to 14th April 2020 | Spain | RT-qPCR | 13/15 (86.67%) | |
| Wastewater | From 6th to 13th May 2020 | US (New York) | RT-PCR | 18/22 (81.82%) | |
| Raw wastewater | From March 18–25, 2020 | USA (Massachusetts) | RT-qPCR | 10/14 (71%) | |
| Raw sewage | 15th of April 2020 | Brazil | RT-qPCR | 5/12 (41.67%) | |
| Urban sewage | From 30th October 2019 to 4th March 2020 | Brazil | RT-PCR | 4/6 (66.67%) | |
| WWTP influent | From March to June 2020 | Chile | Taqman 2019-nCoV assay Kit v1 (ThermoFisher) | 2/4 (50%) | |
| WWTP effluent | From March to June 2020 | Chile | Taqman 2019-nCoV assay Kit v1 (ThermoFisher) | 2/4 (50%) | |
| Six WWTPs and wastewater samples from two hospitals | From 4th May to 12th June 2020 | India (Jaipur city) | RT-PCR | 6/17 (35.29%) | |
| Untreated wastewater | From 8th May to 27th June 2020 | India | RT-PCR | 2/2 (100%) | |
| Wastewater samples from WWTP | From 10th to 21th April 2020 | Israel | RT-qPCR | 10/26 (38.46%) | |
| Wastewater of Istanbul | From 21th to 25th April 2020 | Turkey | RT-qPCR | 7/9 (77.78%) | |
| Wastewater samples from 33 WWTPs | From April to June 2020 | Czech Republic | RT-qPCR | 13/112 (11.61%) | |
| River water | Between March 17th and 7th May 2020 | Japan | Four quantitative and two nested PCR assays | 0/3 (0%) | |
| River water | 5th of June 2020 | Ecuador (river Quito) | RT-qPCR | 3/3 (100%) | |
| River water | 14th of April 2020 | Italy (river: Vettabbia, Lambro Meridionale, Lambro) | RT-qPCR | 3/3 (100%) | |
| River water | 22th of April 2020 | Italy (river: Vettabbia, Lambro Meridionale, Lambro) | Rt-qPCR | 1/3 (33.33%) |
WWTP — wastewater treatment plant, RT-PCR — reverse transcription polymerase chain, RT-qPCR — reverse transcription quantitative polymerase chain reaction.
Persistence of coronaviruses in wastewater.
| Virus | Sample | Temperature [°C] | Persistence | Reference |
|---|---|---|---|---|
| SARS-CoV-2 | Tap water | 20 | 1.5 days | |
| SARS-CoV-2 | Wastewater | 20 | 1.7 days | |
| SARS-CoV-2 (high-starting titer (105 TCID50 mL−1) | Wastewater | 20 | Persisted for the entire 7-day sampling time course | |
| SARS-CoV-2 | Wastewater | 50 | 15 min | |
| SARS-CoV-2 | Wastewater | 70 | 2 min | |
| SARS-CoV-1 | Sewage | 4 | 14 days | |
| SARS-CoV-1 | Sewage | 20 | 2 days | |
| SARS-CoV-1 | PBS | 4 | 14 days | |
| SARS-CoV-1 | PBS | 20 | 14 days | |
| HCoV-229E | PBS | 37 | 6 days | |
| HCoV-229E | Primary effluent filtered | 23 | 2.35 days | |
| HCoV-229E | Primary effluent unfiltered | 23 | 3.54 days | |
| HCoV-229E | Secondary effluent | 23 | 2.77 days | |
| HCoV-229E | Tap water unfiltered | 23 | 12.1 days | |
| HCoV-229E | Tap water filtered | 23 | 10.1 days | |
| FIPV | Primary effluent filtered | 23 | 2.40 days | Gundy et al. (2005) |
| FIPV | Primary effluent unfiltered | 23 | 2.56 days | |
| FIPV | Secondary effluent | 23 | 2.42 days | |
| FIPV | Tap water unfiltered | 23 | 12.5 days | |
| FIPV | Tap water filtered | 23 | 10.1 days | |
| TGEV | Pasteurized settled wastewater | 25 | 4 days (predicted) | |
| TGEV | Pasteurized settled wastewater | 4 | 25 days (predicted) | |
| MHV | Pasteurized settled wastewater | 25 | 3 days (predicted) | |
| MHV | Pasteurized settled wastewater | 4 | 35 days (predicted) |
HCoV-229E — Human Coronavirus 229E, SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, TCID — tissue culture infectious dose, FIPV — feline infectious peritonitis virus, MHV — mouse hepatitis virus.
Fig. 5Disinfection methods of viruses, including SARS-CoV-2 (SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, PX-UV — pulsed-xenon ultraviolet light).
The impact of UV radiation on coronaviruses.
| UV type | Virus | UV irradiance | Distance | Time | Log reduction | Reference |
|---|---|---|---|---|---|---|
| UV-C (254 nm) | CCoV | 7.1 μW/cm2 | 1 m | 72 h | 4.8 | |
| UV LED (267 nm) | HCoV-OC43 | 6–7 mJ/cm2 | No data | 60 s | 3 | |
| UV LED (297 nm) | HCoV-OC43 | 32 mJ/cm2 | No data | 60 s | 3 | |
| UV LED (286 nm) | HCoV-OC43 | 13 mJ/cm2 | No data | 90 s | 3 | |
| UV-C (254 nm) | MERS-CoV | – | 1.22 m | 5 min | 5.91 | |
| UV-C (254 nm) | MERS-CoV | 0.2 J/cm2 | No data | >3.8 | ||
| UV-C (254 nm) | MERS-CoV | 0.05 J/cm2 | No data | 2.9 | ||
| UV-A (365 nm) | SARS-CoV-1 | 2133 μW/cm2 | 3 cm | 15 min | 0 | |
| UV-C (254 nm) | SARS-CoV-1 | 134 μW/cm2 | No data | 15 min | 5.3 | |
| UV-C (254 nm) | SARS-CoV-1 | 134 μW/cm2 | No data | 60 min | 6.3 | |
| UV-C (254 nm) | SARS-CoV-1 | 4016 μW/cm2 | 3 cm | 6 min | 4 (below detection limit) | |
| UV-C (260 nm) | SARS-CoV-1 (strain P9) | >90 μW/cm2 | 80 cm | 60 min | 6 | |
| UV-A (365 nm) | SARS-CoV-2 | 540 mW/cm2 | 3 cm | 9 min | 1 | |
| UV-C (222 nm) | SARS-CoV-2 | 0.1 mW/cm2 | 24 cm | 10 s | 0.94 | |
| UV-C (222 nm) | SARS-CoV-2 | 0.1 mW/cm2 | 24 cm | 30 s | 2.51 | |
| UV-C (222 nm) | SARS-CoV-2 | 0.1 mW/cm2 | 24 cm | 60 s | 2.51 | |
| UV-C (222 nm) | SARS-CoV-2 | 0.1 mW/cm2 | 24 cm | 300 s | 2.51 | |
| UV-C (254 nm) | SARS-CoV-2 | 1940 mW/cm2 | 3 cm | 9 min | Complete virus inactivation | |
| UV-C (254 nm) | SARS-CoV-2 | 3.7 mJ/cm2 | 220 mm | – | 3 | |
| UV-C (254 nm) | SARS-CoV-2 | 0.849 mW/cm2 | No data | 0.8 s | Reduced below a detectable level | |
| PX-UV | SARS-CoV-2 | – | 1 m | 1 min | 3.53 | |
| PX-UV | SARS-CoV-2 | – | 1 m | 2 min | >4.52 | |
| PX-UV | SARS-CoV-2 | – | 1 m | 5 min | >4.12 | |
| DUV LED | SARS-CoV-2 | 3.75 mJ/cm2 | 20 mm | 1 s | 0.9 | |
| DUV LED | SARS-CoV-2 | 37.5 mJ/cm2 | 20 mm | 10 s | 3.1 | |
| DUV LED | SARS-CoV-2 | 225 mJ/cm2 | 20 mm | 60 s | >3.3 |
CCoV — canine coronavirus, HCoV-OC43 — human coronavirus OC43, MERS-CoV — Middle Eastern respiratory syndrome coronavirus, SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2, PX-UV — pulsed-xenon ultraviolet light, UV LED — UV light-emitting diodes, DUV LED — deep ultraviolet light-emitting diode.
Fig. 6Disinfection of hospital wastewater (MBR — membrane bioreactor).
Selected, most used wastewater disinfection methods.
| Method type | Method/disinfectant | Principle of the method | Advantages | Disadvantages | Disinfection efficacy | Risk mitigation | References |
|---|---|---|---|---|---|---|---|
| Chemical disinfection | Chlorine disinfection/liquid chlorine, chlorine dioxide | 30–50 mg/L chlorine (primary treatment) and 15–25 mg/L chlorine (secondary treatment); | Low energy consumption; | Due to the relatively high risk of storage, the disinfection technology with liquid chlorine is not an appropriate disinfection technology in regions with a large population; | High; | Yes | |
| Sodium hypochlorite | NaClO generator; | Relatively low toxicity; | Higher energy consumption; | Effective disinfection, but poor effect | Yes, but the disinfection process must be completed | ||
| Peroxyacetic acid | Kills bacteria and viruses | Low concentrations of disinfectant; | Easy decomposition; | Poor disinfection effect | Yes, but efficacy is low — the disinfection process must be completed | ||
| Ozonation/ozone | 15–20 mg/L ozone in the tower for 10–15 min | Quick decomposition of microorganisms | High process costs; | Good effect on bacteria and viruses | Yes, but only for small scale wastewater treatment system | ||
| Physical disinfection | Ultraviolet light (UV) | Electromagnetic wave with a length between 200 and 400 nm; | Low operation costs, | Inadequate depth of penetration and occupational health risks; | Disinfection may be insufficient | No, especially for hospital wastewater | |
| Gamma radiation | (1) Direct energy transfer by photons of the irradiations; | Effective pathogen inactivation method; | Can change physical and chemical properties of sewage; | Good effect on bacteria and viruses | Yes | ||
| Thermal Inactivation (TI) | Use of high temperature | High efficiency of high temperatures in inactivating coronaviruses, including SARS-CoV-1 | – | Disinfection may be sufficient; currently used for thermal inactivation were performed by treating wastewater samples (SARS-CoV-2) at 56 °C for 30 min –(safety of scientific personal) | Yes, but this method should be tested on a higher scale than laboratory wastewater | ||
| Mechanical disinfection | Filtration/low-pressure membrane filtration includes microfiltration (MF) and ultrafiltration (UF) | Removal of virions by porous membranes (MF > 50 nm and UF 2–50 nm) is feasible, albeit highly dependent on the pore size distribution in relation to the size of the target virus | An effective barrier for pathogenic protozoa cysts, bacteria; | Partially effective against viruses | Partially effective against viruses | NO for viruses (including SARS-CoV-2). Can be used as a supporting process |
SARS-CoV-1 — severe acute respiratory syndrome coronavirus 1, SARS-CoV-2 — severe acute respiratory syndrome coronavirus 2.
Fig. 7Possible transmission of SARS-CoV-2 via waste.