| Literature DB >> 33456205 |
Sangha Han1, Pantu Kumar Roy1, Md Iqbal Hossain1, Kye-Hwan Byun1, Changsun Choi2, Sang-Do Ha1.
Abstract
BACKGROUND: The COVID-19 pandemic that emerged in 2019 has imposed huge consequences, including economic losses and threats to human health, which are still affecting many aspects throughout the world. SCOPE AND APPROACH: This review provides an overview of SARS-CoV-2 infection, the cause of COVID-19, and explores its impact on the food supply system and food safety. This review examines the potential risk of transmission through food and environmental surfaces before discussing an effective inactivation strategy to control the COVID-19 pandemic in the aspect of food safety. This article also suggests effective food safety management post-COVID-19. KEY FINDINGS ANDEntities:
Keywords: COVID-19; Food safety; Food supply chain; Inactivation; Post-COVID-19 era; SARS-CoV-2; Transmission route
Year: 2021 PMID: 33456205 PMCID: PMC7794057 DOI: 10.1016/j.tifs.2021.01.004
Source DB: PubMed Journal: Trends Food Sci Technol ISSN: 0924-2244 Impact factor: 12.563
Fig. 1Worldwide COVID-19 outbreak.
Fig. 2Safety guideline during COVID-19 pandemic for the food sector at each step of the food chain.
Persistence of coronaviruses on different types of inanimate surfaces.
| Type of surface | Virus | Inoculum | Temperature (°C) | Persistence | Log reduction | Reference | ||
|---|---|---|---|---|---|---|---|---|
| Steel | SARS-CoV-2 | 103.7 | NG | 3–4days | 3.2 | |||
| SARS-CoV-2 | 105.8 | 22 °C | 7days | 5.8 | ||||
| HCoV 229E | 10³ | 21 °C | >5days | 2 | ||||
| Copper | SARS-CoV-2 | 103.2 | NG | 4–8h | 1.7 | |||
| Glass | SARS-CoV | 106 | RT | 4days | 6 | |||
| HCoV 229E | 103 | 21 °C | >5days | 2.5 | ||||
| SARS-CoV-2 | 105.8 | 22 °C | 4days | 5.8 | ||||
| Aluminum | HCoV 229E | 5.5 × 10⁵ | 21 °C | <8h | 3 | |||
| HCoV OC43 | 5.15 × 10⁵ | 21 °C | <2h | 3 | ||||
| Wood | SARS-CoV | 10⁶ | RT | 4days | 6 | |||
| SARS-CoV-2 | 105.6 | 22 °C | 1–2days | 5.6 | ||||
| Latex | HCoV 229E | 5.5 × 105 | 21 °C | 3–6h | 3 | |||
| HCoV OC43 | 5.15 × 105 | 21 °C | <1h | 3 | ||||
| Paper | SARS-CoV strain GVU6109 | 104 | RT | <5min | ∼1.7 | |||
| SARS-CoV strain GVU6109 | 105 | RT | 3h | ∼2.7 | ||||
| SARS-CoV strain GVU6109 | 106 | RT | 24h | ∼3.7 | ||||
| SARS-CoV | 106 | RT | 4–5days | 6 | ||||
| SARS-CoV-2 | 104.8 | 22 °C | 3h | 4.8 | ||||
| Tissue paper | SARS-CoV-2 | 107.8 | 22 °C | 30min | 5.5 | |||
| Banknote | SARS-CoV-2 | 107.8 | 22 °C | 2d | 6 | |||
| Cardboard | SARS-CoV-2 | 102.5 | NG | 24h | 2 | |||
| Cotton | SARS-CoV strain GVU6109 | 104 | RT | 5min | ∼1.7 | |||
| SARS-CoV strain GVU6109 | 105 | RT | 1h | ∼2.7 | ||||
| SARS-CoV strain GVU6109 | 106 | RT | 24h | ∼3.7 | ||||
| Silicon rubber | HCoV 229E | 103 | 21 °C | 3days | 3 | |||
| Ceramic | HCoV 229E | 103 | 21 °C | >5days | 2 | |||
| Teflon | HCoV 229E | 103 | 21 °C | >5days | 2.5 | |||
| PVC | HCoV 229E | 103 | 21 °C | >5days | 2 | |||
| Plastic | SARS-CoV | 107 | 22–25 °C | 5–28days | 5 | |||
| SARS-CoV | 106 | RT | 4days | 6 | ||||
| SARS-CoV strain FFM-1 | 107 | RT | 6–9days | ∼5 | ||||
| HCoV 229E | 107 | RT | 2–6days | ∼5 | ||||
| SARS-CoV-2 | 103.7 | NG | 3–4days | 3.2 | ||||
| SARS-CoV-2 | 105.8 | 22 °C | 7days | 5.8 | ||||
| Metal | SARS-CoV | 106 | RT | 5days | NG | |||
| Brass | 95–100% Cu | HCoV 229E | 103 | 21 °C | 10min | 3 | ||
| 85% Cu | HCoV 229E | 103 | 21 °C | 50min | 3 | |||
| 60% Cu | HCoV 229E | 103 | 21 °C | 2h | 2.5 | |||
| Copper nickel | 90% Cu | HCoV 229E | 103 | 21 °C | 20min | 3 | ||
| 79% Cu | HCoV 229E | 103 | 21 °C | 30min | 3 | |||
| 70% Cu | HCoV 229E | 103 | 21 °C | 4h | 3 | |||
| Zinc | HCoV 229E | 103 | 21 °C | 2h | 0.5 | |||
| Cloth | SARS-CoV-2 | 107.8 | 22 °C | 1d | 4.8 | |||
| Surgical Mask | Outer layer | SARS-CoV-2 | 107.8 | 22 °C | 7d | 5.8 | ||
| Inner layer | SARS-CoV-2 | 107.8 | 22 °C | 4d | 5.8 | |||
| Cotton gauze sponges | HCoV 229E | 5.5 × 105 | 21 °C | 6h | 3 | |||
| HCoV OC43 | 5.15 × 105 | 21 °C | <1h | 3 | ||||
| HCoV: Human coronavirus, NG: Not Given, RT: Room Temperature (20–25 °C) | ||||||||
Virucidal efficacy of disinfectants against coronaviruses.
| Disinfectant | Type of assay | Concentration | Exposure time | Virus | Reduction of viral infectivity | Reference |
|---|---|---|---|---|---|---|
| Ethanol | suspension test | 80% | 30s | SARS-CoV strain FFM-1 | ≥4.25 | |
| 85% | 30s | SARS-CoV strain FFM-1 | ≥5.5 | |||
| 95% | 30s | SARS-CoV strain FFM-1 | ≥5.5 | |||
| 70% | 10min | MHV-2 | >4.20 | |||
| 70% | 10min | MHV-N | >3.91 | |||
| 70% | 10min | CCV strain I-71 | >3.28 | |||
| 78% | 30s | SARS-CoV strain FFM-1 | ≥5.01 | |||
| 20% | 30s | SARS-CoV-2 | 1.08 | |||
| 20% | 1min | SARS-CoV-2 | 1.33 | |||
| 20% | 3min | SARS-CoV-2 | 1.75 | |||
| 20% | 5min | SARS-CoV-2 | 1.92 | |||
| 30% | 30s | SARS-CoV-2 | 4.42 | |||
| 30% | 1min, 3min, 5min | SARS-CoV-2 | ≥4.75 | |||
| 40, 50, 60, 75% | 30s, 1min, 3min, 5min | SARS-CoV-2 | ≥4.75 | |||
| QCT with stainless steel | 70% | 1min | HCoV 229E | ≥3.0 | ||
| 62% | 1min | MHV | 2.66 | |||
| 70% | 1min | MHV | 3.92 | |||
| 71% | 1min | MHV | 1.98 | |||
| 62% | 1min | TGEV | 4.04 | |||
| 70% | 1min | TGEV | 3.19 | |||
| 71% | 1min | TGEV | 3.51 | |||
| Sodium Hypochlorite | suspension test | 0.001% | 10min | MHV-2 | 0.57 | |
| 0.001% | 10min | MHV-N | 0.26 | |||
| 0.001% | 10min | CCV strain I-71 | 0.90 | |||
| 0.01% | 10min | MHV-2 | 2.82 | |||
| 0.01% | 10min | MHV-N | 2.26 | |||
| 0.01% | 10min | CCV strain I-71 | 1.05 | |||
| 0.21% | 30s | MHV-1 | ≥4.0 | |||
| QCT with stainless steel | 0.06% | 1min | MHV | 0.62 | ||
| 0.06% | 1min | TGEV | 0.35 | |||
| 0.01% | 1min | HCoV 229E | <3.0 | |||
| 0.1% | 1min | HCoV 229E | >3.0 | |||
| 0.5% | 1min | HCoV 229E | >3.0 | |||
| Hydrogen Peroxide | suspension test | 0.5% | 1min | HCoV 229E | >4.0 | |
| MHV: Murine coronavirus, CCV: Canine coronavirus, HCoV: Human coronavirus, TGEV: A coronavirus which infects pigs | ||||||
The effect of UV on coronavirus.
| Virus | Waves | Intensity of UV | Notes | Reference | |
|---|---|---|---|---|---|
| SARS-CoV-2 | MOI 0.05 | 254 nm | 3.7 mJ/cm2 | SARS-CoV-2 replication was completely inactivated at UV-C dose of 3.7 mJ/cm2 after 6 days | |
| MOI 5 | 3.7 mJ/cm2 | The UV-C dose of 3.7 mJ/cm2 was effective in a reduction of viral replication (3 log reduction after 24 h). | |||
| MOI 1000 | Viral replication was totally inactivated at a dose | ||||
| SARS-CoV | BSC's | 134 μW/cm2 | After 15min UV exposure, the titer of virus went down to 1.8 × 102 TCID50/mL (initial titer was 3.8 × 107 TCID50/mL). | ||
| SARS-CoV strain P9 | 260 nm | >90 μW/cm2 | After 15 min UV exposure, the CPE of SARS-CoV was reduced from 51 to 75% to less than 25% and dropped to an undetectable level after 60 min irradiation. | ||
| SARS-CoV | 365 nm (UV-A) | 2133 μW/cm2 | For more than 15min, UV-A exposure didn't have significant effects on virus inactivation. | Darnell., 2004 | |
| 254 nm (UV-C) | 4016 μW/cm2 | UV-C exposure to virus showed increasing efficiency up to 6min (resulting in a 400-fold decrease in infectious virus). | |||
| MOI 0.05: Low-level concentration observed in closed environments (e.g. hospital rooms) | |||||
Potential policy tools for cities and local governments to strengthen the resilience of food systems during and post-pandemic phase.
| 1. FAO published a document with five specific recommendations that countries should measure to avoid vital crises in food supply chains, including: | 2. FAO has recommended a series of actions to assure the sustainability of agri-food companies during the crisis, including: |
| 3. FAO has advised countries to develop logistical strategies to reduce the loss and waste of agricultural food products (mainly perishable food products), due to barriers of transportation routes, restrictions on transportation and social distance, in order to ensure sufficient supply food for all, mostly for the vulnerable. | 4. Some city authorities and governments have been taken few policy during COVID-19: |
| 5. The government has expanded support to non-governmental groups addressing the challenge of food insecurity. | 6. COVID-19 offers government the opportunity to review their ‘current resilient toolkit’ for food systems and to establish new plan or policy. Few policy or plan that might be considered as part of a future food system resilience toolkit, based on the lessons of COVID-19 pandemic, including: |