冷链食品及包材表面新型冠状病毒痕量残留的多重数字PCR定量分析
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1.江南大学;2.中国质量检验检测科学研究院

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R183.3

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国家重点研发计划


Quantitative Analysis of Trace Residues of SARS-CoV-2 Nucleic Acid on the Surfaces of Cold Chain Food and Packaging Materials Using Multi-cdPCR
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1.Jiangnan University;2.Chinese Academy of Quality and Inspection Testing;3.Chinese Academy of Quality and Inspection Testing

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    摘要:

    目的 为应对冷链食品及包装材料表面痕量新型冠状病毒(severe acute respiratory syndrome coronavirus 2,SARS-CoV-2)污染导致的漏检风险,本研究旨在建立一种高灵敏、可定量的多重检测方法。方法 基于多重芯片式数字 PCR(chip-based digital PCR,cdPCR)技术同步靶向SARS-CoV-2的ORF1ab、N和E基因,优化了引物浓度、探针、退火温度参数,分析了方法学性能,并模拟了冷链食品及包材病毒污染核酸载量分析。结果 所建立的多重cdPCR检测方法可同时检测新冠病毒3个基因片段,ORF1ab基因检出限为1.36 copies/μL,N基因和E基因检出限均为0.96 copies/μL,同时得到方法定量限与线性回归范围。方法特异性与准确性高,变异系数小于1.7%,重复性好。对70份疑似阳性样本进行盲样检测,多重cdPCR方法与实时荧光定量PCR方法检测阳性率分别为77.8%和27.8%。该方法可有效用于冷链食品及包材表面病毒污染分析,并发现温度可影响病毒核酸载量。结论 研究成功优化并建立了一种适用于食品及包材表明低载量SARS-CoV-2的多重cdPCR方法,为冷链食品病毒污染的安全监管提供了技术支撑。

    Abstract:

    Objective This study aims to address the risk of missed detection due to trace contamination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on the surfaces of cold chain food and packaging materials by developing a highly sensitive and quantifiable multiplex detection method. Method Based on multi-chip digital PCR (cdPCR) technology, we simultaneously targeted the ORF1ab, N, and E genes of SARS-CoV-2. Various parameters were optimized, including primer concentration, probe, and annealing temperature, and evaluated the methodological performance. Additionally, the analysis of viral nucleic acid load in cold chain food and packaging materials were simulated. Results The multi-cdPCR detection method can simultaneously identify all three gene fragments of the novel coronavirus. The detection limit for the ORF1ab gene is 1.36 copies/μL, while the detection limits for the N and E genes are both 0.96 copies/μL. This method exhibits high specificity and accuracy, with a coefficient of variation of less than 1.7%, demonstrating good repeatability. In blind sample testing of 70 suspected positive samples, the positive detection rates were 77.8% for multi-cdPCR and 27.8% for real-time fluorescence quantitative PCR. Our findings indicate that this method can be effectively applied to analyze viral contamination on the surfaces of cold chain food and packaging materials, with temperature variability influencing viral nucleic acid load. Conclusion This study successfully optimized and established a multi-cdPCR method suitable for detecting low viral loads of SARS-CoV-2 in food and packaging materials. This method provides valuable technical support for the safe supervision of viral contamination in cold chain food.

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  • 收稿日期:2025-07-30
  • 最后修改日期:2025-10-14
  • 录用日期:2025-12-04
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