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Research Progress on the Transmission Characteristics and Risk Assessment of Norovirus in the Food Chain
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Yinghuan XU1, 2, 3, Junshan GAO2, 3, Yang JIAO2, 3, Qingping WU2, 3, Jumei ZHANG2, 3, Liang XUE2, 3, *
Science and Technology of Food Industry | 2026, 47(6) : 496 - 505
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Science and Technology of Food Industry | 2026, 47(6): 496-505
• Reviews •
Research Progress on the Transmission Characteristics and Risk Assessment of Norovirus in the Food Chain
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Yinghuan XU1, 2, 3, Junshan GAO2, 3, Yang JIAO2, 3, Qingping WU2, 3, Jumei ZHANG2, 3, Liang XUE2, 3, *
Affiliations
  • 1College of Food Science, South China Agricultural University, Guangzhou 510642, China
  • 2National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
  • 3Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, NHC Specialty Laboratory of Food Safety Risk Assessment and Standard Development, Guangdong-Hong Kong-Macao Greater Bay Area Microbiological Safety and Health International Science and Technology Innovation Center, Guangzhou 510070, China
Published: 2026-03-15 doi: 10.13386/j.issn1002-0306.2025040208
Outline
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Norovirus is one of the primary pathogens causing acute gastroenteritis worldwide, and its highly contagious nature through the food chain poses a serious threat to public health. Norovirus is commonly transmitted through food such as shellfish, vegetable, and fruit during production, processing, and consumption. Traditional detection methods struggle to fully reveal the associated risks. Microbiological quantitative risk assessment combines data and mathematical models to systematically quantify the risk of pathogen transmission, providing a scientific tool for controlling foodborne viruses. This paper focuses on the transmission characteristics of norovirus in the food chain of shellfish, vegetable, and fruit, systematically outlined the contamination pathways and key risk points from production to consumption, and reviews the progress of quantitative risk research. The contamination of shellfish primarily originated from water body, and depuration and thermal processing could significantly reduce the viral load. The contamination of vegetable and fruit primarily stemmed from irrigation water and cross-contamination during manual harvesting. Thermal treatment and novel decontamination technologies could effectively reduce the viral load. Different dose-response models exhibited variations in risk assessment, and a comprehensive analysis of multiple models could enhance accuracy. In the future, interdisciplinary collaboration should be strengthened to utilize big data and machine learning to construct multidimensional risk assessment models, enhancing predictive and early warning capabilities. This will provide precise support for global food safety governance and promote the development of risk management toward systematization and intelligence.

Norovirus  /  food chain  /  risk assessment  /  transmission  /  exposure assessment
徐颖欢, 高珺珊, 教杨, 吴清平, 张菊梅, 薛亮. 食品链中诺如病毒传播特征及风险评估研究进展. 食品工业科技, 2026 , 47 (6) : 496 -505 . DOI: 10.13386/j.issn1002-0306.2025040208
Yinghuan XU, Junshan GAO, Yang JIAO, Qingping WU, Jumei ZHANG, Liang XUE. Research Progress on the Transmission Characteristics and Risk Assessment of Norovirus in the Food Chain[J]. Science and Technology of Food Industry, 2026 , 47 (6) : 496 -505 . DOI: 10.13386/j.issn1002-0306.2025040208
Year 2026 volume 47 Issue 6
86
39
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Article Info
doi: 10.13386/j.issn1002-0306.2025040208
  • Receive Date:2025-04-17
  • Online Date:2026-10-24
  • Published:2026-03-15
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History
  • Received:2025-04-17
Affiliations
    1College of Food Science, South China Agricultural University, Guangzhou 510642, China
    2National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
    3Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, NHC Specialty Laboratory of Food Safety Risk Assessment and Standard Development, Guangdong-Hong Kong-Macao Greater Bay Area Microbiological Safety and Health International Science and Technology Innovation Center, Guangzhou 510070, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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