| Literature DB >> 35767120 |
Meiyue Guo1, Junfeng Yan1, Yuan Hu1, Lu Xu1, Jinling Song1, Kun Yuan1, Xiangru Cheng1, Sui Ma1, Jie Liu1, Xianbing Wu1, Liegang Liu2, Shuang Rong3, Di Wang4,5.
Abstract
The COVID-19 pandemic has generated a new era in the world, also in the food safety. Up to now, there is no evidence to suggest that people can infect COVID-19 via food contaminated by SARS-CoV-2. Here, we analyzed the results of regular SARS-CoV-2 nucleic acid testing of considerable cold-chain food practitioners, cold-chain food surfaces, and their internal or external packaging as well as their associated environments, aiming to explore the risk of cold-chain food being contaminated by SARS-CoV-2 and the probability of people infecting COVID-19 through contaminated cold-chain food in the context of COVID-19 epidemic. This study found that only two batches of cold-chain food were contaminated by SARS-CoV-2, none of the cold-chain food handler were infected due to effective regulatory measures for cold-chain food. Therefore, effective supervision and preventive methods could effectively reduce the transmission risk of SARS-CoV-2 on cold-chain food.Entities:
Keywords: COVID-19; Cold-chain food; SARS-CoV-2; Transmission risk
Mesh:
Year: 2022 PMID: 35767120 PMCID: PMC9244345 DOI: 10.1007/s12560-022-09521-4
Source DB: PubMed Journal: Food Environ Virol ISSN: 1867-0334 Impact factor: 4.034
Primer and probe sequences of target genes for SARS-CoV-2
| Target | Sequences(5'–3') |
|---|---|
| ORF1ab gene | |
| Forward primer | CCCTGTGGGTTTTACACTTAA |
| Reverse primer | ACGATTGTGCATCAGCTGA |
| Probe | FAM-CCGTCTGCGGTATGTGGAAAGGTTATGG-BHQ1 |
| N gene | |
| Forward primer | GGGGAACTTCTCCTGCTAGAAT |
| Reverse primer | CAGACATTTTGCTCTCAAGCTG |
| Probe | FAM-TTGCTGCTGCTTGACAGATT-TAMRA |
Data on characteristics of COVID-19 cases in the area of study
| Occupation | Total in Xiangyang,No | Infected case,No. (%) | |
|---|---|---|---|
| Total | 5600,000 | 1175 (0.021) | |
| Food Handler | 687,000 | 20 (0.003) | < 0.001 |
| Cold-chain food handler | 4,935 | 1 (0.020) | 0.972 |
| Health care worker | 44,160 | 34 (0.077) | < 0.001 |
| Police | 9,000 | 2 (0.022) | 0.935 |
| Teacher | 82,600 | 36 (0.044) | < 0.001 |
| Student | 960,000 | 31 (0.003) | < 0.001 |
| Civil servant | 74,458 | 101 (0.14) | < 0.001 |
| Farmer | – | 271 (–) | – |
| Factory practitioner | – | 105 (–) | – |
| others | – | 574(–) | – |
All data were collected from Xiangyang Center for Disease Control and Prevention
“–” Indicated that the number was not counted
Results of SARS-CoV-2 RNAs detection of cold-chain food handlers from different working places
| Working place of cold-chain food handlers | Total, number of testings | Positive,No |
|---|---|---|
| Total | 20,325 | ND |
| Restaurant | 9310 | ND |
| Supermarket | 5092 | ND |
| School and other unit canteens | 2709 | ND |
| Agricultural market | 1163 | ND |
| Freezer | 1133 | ND |
| Food companies | 448 | ND |
| Braised vegetable shop | 233 | ND |
| Fresh seafood shop | 118 | ND |
| Food logistics chain | 74 | ND |
| Others | 45 | ND |
ND not detected
“Number of testings” represents the total number of testings. In this study, 2,039 cold-chain food handlers coming from different working places were collected nasopharyngeal or oropharyngeal swabs to detect SARS-CoV-2 nucleic acid for 20,325 times in total
Results of SARS-CoV-2 RNAs detection in different cold-chain food-related environments
| Food-related environments | Total, No | Positive, No |
|---|---|---|
| Total | 9354 | ND |
| Dining utensils | 4708 | ND |
| Supermarket environment | 1933 | ND |
| Food freezers or fish tanks | 1543 | ND |
| Sewer or fire hydrant | 1032 | ND |
| Clothing for food workers | 138 | ND |
ND not detected
Results of SARS-CoV-2 RNAs detection in cold-chain foods with different sources and business premises
| Sample characteristics | Total, No | Positive, No | |
|---|---|---|---|
| Classification | Total | 23,187 | 2 |
| Meat | 13,859 | 1 | |
| Seafood | 3483 | 1 (Single gene positive) | |
| Fresh water product | 2973 | ND | |
| Refrigerated drink | 1661 | ND | |
| Fruit | 1046 | ND | |
| Vegetable | 164 | ND | |
| Source | Total | 23,187 | 2 |
| China | 13,525 | ND | |
| Asia (excluding China) | 4245 | ND | |
| Africa | 67 | ND | |
| North America | 425 | ND | |
| South America | 2576 | 2 | |
| Europe | 1875 | ND | |
| Oceania | 473 | ND | |
| Business premises | Total | 23,187 | 2 |
| Restaurant | 7840 | ND | |
| Wholesale Market | 2965 | ND | |
| Supermarket | 3621 | ND | |
| Freezer | 6283 | 2 | |
| Fresh retail store | 2477 | ND |
ND not detected
Results of SARS-CoV-2 RNAs samples in close contacts, cold-chain foods, and environments related to the frozen raw South American white shrimp and the frozen boneless beef steak
| Problematic cold-chain food | Related samples | Total, No | Positive, No |
|---|---|---|---|
| the frozen raw South American white shrimp | Close contacts | 78 | ND |
| Cold-chain foods | 65 | ND | |
| Environments | 10 | ND | |
| the frozen boneless beef steak | Close contacts | 10 | ND |
| Cold-chain foods | 551 | ND | |
| Environments | 23 | ND |
ND not detected
The sequence results of frozen boneless beef steak outer packaging smear swab
| Sample name | Sample type | Coverage (%) | Analysis of VOC mutations in new coronaviruses | |||
|---|---|---|---|---|---|---|
| Alpha | Beta | Gamma | Delta | |||
| Frozen outer packaging smear swab-01 | Environmental smear swab | 63.38 | – | – | – | – |
| Frozen outer packaging smear swab-02 | Environmental smear swab | 65.83 | – | – | – | – |
| Frozen outer packaging smear swab-03 | Environmental smear swab | 23.32 | – | – | – | – |
“Alpha, Beta, Gamma, Delta” is the WHO recommended nomenclature for new coronaviruses and “B.1.1.7, B.1.351, P.1, B.1.617.2” is the Pango lineage nomenclature for new coronaviruses
“–” indicates that sufficient valid gene sequences were not detected to perform genotype analysis
“Coverage” means that the sequence obtained by sequencing accounts for the proportion of the entire genome sequence
Fig. 1Government interventions for cold-chain food in terms of personnel, material, and geography