食品科学

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实时荧光定量PCR检测转基因玉米59122的方法建立及测量不确定度评估

宋 君,郭灵安*,雷绍荣,王 东,尹 全,张富丽,刘文娟,常丽娟   

  1. 四川省农业科学院农产品质量标准研究所,四川 成都 610066
  • 出版日期:2014-12-25 发布日期:2014-12-29
  • 通讯作者: 郭灵安
  • 基金资助:

    四川省质监局标准化技术体系项目(ZYBZ2013-39)

An Accurate Quantitative Assay for Genetically Modified Maize Event 59122: Method Establishment and Assessment of Its Measurement Uncertainty

SONG Jun, GUO Ling-an*, LEI Shao-rong, WANG Dong, YIN Quan, ZHANG Fu-li, LIU Wen-juan, CHANG Li-juan   

  1. Institute of Quality Standards and Testing Technology for Agro-Products,
    Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
  • Online:2014-12-25 Published:2014-12-29
  • Contact: GUO Ling-an

摘要:

为了准确定量检测非故意扩散的转基因玉米59122,建立转基因玉米59122及产品的实时荧光定量聚合酶链式反应(polymerase chain reaction,PCR)检测方法,并用特异性、准确度、灵敏度以及测量不确定度等指标评价该方法。结果显示,利用该方法只能检出转基因玉米59122;16 次重复测量含量为1%的转基因玉米59122样品,平均测量值(0.9%)接近真实值(1%),相对误差为10%,测试回收率为90%,测量不确定度为0.002;能检测到最低含量为2 拷贝的59122分子片段;除去3 次偏离平均值较大的测量值外,13 次重复测量值的变异系数为0.05。因此,实验建立的转基因玉米59122实时荧光定量PCR方法具有较高的特异性、准确度、灵敏度、精密度,较低的测量不确定度。

关键词: 转基因玉米59122, 定量检测方法, 方法学评价

Abstract:

Genetically modified maize (Event 59122) used as a feedstock has been approved to be imported to China
since 2012. But, there has so far been no quantitative assay available to detect the genetically modified corn 59122 and
its derivatives. In this study we established a quantitative detection method for this modified maize corn using real-time
fluorescent quantitative PCR in order to accurately examine whether it is spread unintentionally, ensure the safety of corn
production in China and reduce the ecological risk. Meanwhile, the method was evaluated by several methodological
indicators such as specificity, sensitivity, accuracy and measurement uncertainty. Our experimental results showed that this
method was specific for modified maize corn 59122. The average of 16 replicate detections for 1% modified maize corn
59122 was 0.9% with a relative deviation of 10%. The recovery was 90%, and the measurement uncertainty was 0.002. The
lowest detectable level was 2 copies of DNA fragments from the modified maize crop 59122. The variation coefficient for
the remaining 13 replications was 0.05 when the 3 replicate detections deviated largely from the average value (0.9%) were
removed. Therefore, the quantitative detection method described in this paper for modified maize maize 59122 has fairly
high specificity, accuracy, sensitivity and precision as well as low measurement uncertainty.

Key words: genetically modified maize 59122, quantitative detection method, methodological assessment

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