A Multiplex PCR System for the Detection and Quantification of Four Genetically Modified Soybean Events

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Yuxuan He, Liming Dong, Wei Yan, Zhenjuan Xing, Wei Xia, Congcong Li, Likun Long, Feiwu Li
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Abstract

To align with global regulatory standards for quantitative GMO labeling, there is a growing need for accurate and efficient detection methodologies targeting on specific genetically modified (GM) events. This study developed a multiplex detection strategy for four GM soybean events (ZH10-6, ZUTS-33, SHZD32, and S4003.14), along with the endogenous Lectin gene. A 5-plex qPCR assay was optimized with event-specific primers and probes, enabling the reliable detection of these GM events in mixtures at concentrations as low as 0.1%. Furthermore, two 3-plex cdPCR systems were established on the Naica chip-based platform, achieving limits of detection (LOD) and quantification (LOQ) at 10 and 20 copies, respectively, for each target event. Validation using test samples demonstrated that the accuracy and precision of these methods meet regulatory requirements for GMO labeling. Cross-platform comparisons between the digital PCR systems showed consistent results, improving both detection throughput and operational efficiency. This multiplex approach provides a robust and efficient solution for the quantitative analysis of GM soybean components in complex sample matrices, offering valuable technical support for regulatory compliance and GMO product monitoring.

四种转基因大豆事件的多重PCR检测与定量系统
为了与定量转基因标识的全球监管标准保持一致,越来越需要针对特定转基因事件的准确和有效的检测方法。本研究建立了4个转基因大豆事件(ZH10-6、ZUTS-33、SHZD32和S4003.14)以及内源凝集素基因的多重检测策略。使用事件特异性引物和探针优化了5-plex qPCR检测,能够在低至0.1%浓度的混合物中可靠地检测这些转基因事件。此外,在基于Naica芯片的平台上建立了两个3-plex cdPCR系统,每个目标事件的检测限(LOD)和定量限(LOQ)分别为10和20个拷贝。使用测试样本验证表明,这些方法的准确性和精密度符合转基因生物标识的监管要求。数字PCR系统之间的跨平台比较显示出一致的结果,提高了检测吞吐量和操作效率。该方法为复杂样品基质中转基因大豆成分的定量分析提供了可靠、高效的解决方案,为法规遵从性和转基因产品监测提供了宝贵的技术支持。
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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