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Sun C, Chen J, Li H, Fang L, Wu S, Jayavanth P, Tang S, Sanchez G, Wu X. One-step duplex RT-droplet digital PCR assay for the detection of norovirus GI and GII in lettuce and strawberry. Food Microbiol 2021; 94:103653. [PMID: 33279078 DOI: 10.1016/j.fm.2020.103653] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 10/01/2020] [Accepted: 10/01/2020] [Indexed: 11/17/2022]
Abstract
The study was designed to develop a sensitive one-step duplex reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) to detect norovirus genogroup I and II (NoV GI and GII) in lettuce and strawberry. The specificity, sensitivity, repeatability and robustness of the assay was compared with RT-qPCR. The lowest concentration detected by RT-ddPCR for NoV GI and NoV GII were 4.68 and 8.47 copies/μL respectively, much lower than that of RT-qPCR with a number of 46.8 and 84.7 copies/μL, respectively. Lettuce and strawberry samples were artificially contaminated with NoV GI and GII suspensions, with inoculum size of 3.00 × 106 to 1.70 × 108 copies and 4.80 × 105 to 2.50 × 107 copies, respectively. Strawberry spiked with low inoculum size revealed positive results by RT-ddPCR, while recorded negative by RT-qPCR. Meanwhile, RT-ddPCR also showed a higher average recovery rate for NoV in lettuce and strawberry than RT-qPCR.The limit of detection (LoDs) of RT-ddPCR for NoVs in lettuce was 2.32 × 104 copies/25g (NoV GI) and 2.36 × 104 ciopies/25g (NoV GII), and that in strawberry was 2.56 × 104 copies/25g (NoV GI) and 2.64 × 104 ciopies/25g (NoV GII), which were 10 folds lower than that of RT-qPCR. The developed duplex RT-ddPCR assay exhibited stability and increased capacity to resist inhibitors in food samples with low concentration of NoV, making it a reliable method to avoid false negative result as opposed to RT-qPCR. In conclusion, one-step RT-ddPCR method developed in this study is pertinent in detecting foodborne virus such as NoV.
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Affiliation(s)
- Chongzhen Sun
- Department of Food Science and Engineering, Jinan University, 601 Huangpu Avenue, Guangzhou, 510632, China
| | - Jiayin Chen
- Department of Food Science and Engineering, Jinan University, 601 Huangpu Avenue, Guangzhou, 510632, China
| | - Hui Li
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Guangzhou, 511430, China.
| | - Ling Fang
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Guangzhou, 511430, China
| | - Shiwei Wu
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Guangzhou, 511430, China
| | - Pallavi Jayavanth
- International School, Jinan University, 601 Huangpu Avenue, Guangzhou, 510632, China
| | - Shuze Tang
- Department of Food Science and Engineering, Jinan University, 601 Huangpu Avenue, Guangzhou, 510632, China
| | - Gloria Sanchez
- Department of Biotechnology, Institute of Agrochemistry and Food Technology (IATA-CSIC), Av. AgustÍn Escardino 7, 46980, Paterna, Valencia, Spain
| | - Xiyang Wu
- Department of Food Science and Engineering, Jinan University, 601 Huangpu Avenue, Guangzhou, 510632, China.
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Cheng D, Zou S, Liao N, Shi X, Chen J, Zhang Y, Sun L, Zhang R. Evaluation of an Extraction Method for the Detection of GI and GII Noroviruses in Fruit and Vegetable Salads. J Food Sci 2017; 83:393-400. [DOI: 10.1111/1750-3841.14022] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 11/24/2017] [Accepted: 11/30/2017] [Indexed: 11/27/2022]
Affiliation(s)
- Dongqing Cheng
- Coll. of Medical Technology; Zhejiang Chinese Medical Univ.; Hangzhou 310053 China
| | - Songyan Zou
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
- Coll. of Medical Technology; Zhejiang Chinese Medical Univ.; Hangzhou 310053 China
| | - Ningbo Liao
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
| | - Xiaofeng Shi
- Coll. of Medical Technology; Zhejiang Chinese Medical Univ.; Hangzhou 310053 China
| | - Jiang Chen
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
| | - Yanjun Zhang
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
| | - Liang Sun
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
| | - Ronghua Zhang
- Dept. of Nutrition and Food Safety; Zhejiang Provincial Center for Disease Control and Prevention; Hangzhou 310006 China
- Coll. of Medical Technology; Zhejiang Chinese Medical Univ.; Hangzhou 310053 China
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