[1]宋 君,李 洁,常丽娟,等.转基因玉米MON88017测量不确定度的评定[J].四川师范大学学报(自然科学版),2018,(05):681-689.[doi:10.3969/j.issn.1001-8395.2018.05.019]
 SONG Jun,LI Jie,CHANG Lijuan,et al.Measurement Uncertainty from Genetically Modified Maize MON88017 Estimated by Two Methods[J].Journal of SichuanNormal University,2018,(05):681-689.[doi:10.3969/j.issn.1001-8395.2018.05.019]
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《四川师范大学学报(自然科学版)》[ISSN:1001-8395/CN:51-1295/N]

卷:
期数:
2018年05期
页码:
681-689
栏目:
基础理论
出版日期:
2018-06-15

文章信息/Info

Title:
Measurement Uncertainty from Genetically Modified Maize MON88017 Estimated by Two Methods
文章编号:
1001-8395(2018)05-0681-09
作者:
宋 君1 李 洁2 常丽娟1 王 东1张富丽1 刘文娟1 雍 彬3*
1.四川省农业科学院 分析测试中心, 四川 成都 610066; 2.四川省农业科学院 农村经济与农业信息研究所, 四川 成都 610066; 3.四川师范大学 生命科学学院, 四川 成都 610101
Author(s):
SONG Jun1 LI Jie2 CHANG Lijuan1 WANG Dong1 ZHANG Fuli1 LIU Wenjuan1 YONG Bin3
1.Analysis and Test Center, Sichuan Academy of Agricultural Science, Chengdu 610066, Sichuan; 2.Agricultural Information and Rural Economy Institute, Sichuan Academy of Agricultural Science, Chengdu 610066, Sichuan; 3.College of Life Science, Sichuan No
关键词:
转基因玉米MON88017 不确定度 不确定度传播 概率分布传播
Keywords:
genetically modified maize MON88017 measurement uncertainty law of uncertainty propagation propagation of probability distribution comparison
分类号:
TB9
DOI:
10.3969/j.issn.1001-8395.2018.05.019
文献标志码:
A
摘要:
为了解“不确定度传播”(GUM)和“概率分布传播”(MCM)2种方法在转基因成分测量不确定度评定中的差异及验证GUM法评定转基因成分测量不确定度的适用性,首次采用MCM和GUM法同时评定试样中转基因玉米MON88017质量分数的测量不确定度.研究结果表明:MCM与GUM法计算得到的转基因玉米MON88017质量分数的概率密度分布都为正态分布; MCM计算获得的MON88017质量分数的标准不确定度(0.04%)小于GUM法获得的不确定度(0.1%),MCM获得的MON88017质量分数的95%包含区间的范
Abstract:
To understand the difference between “propagation of uncertainty”(also named GUM)and “propagation of probability distribution”(also called MCM)methods in evaluating measurement uncertainty(MU)from genetically modified organism detection and verify whether GUM method is suitable for estimating MU in GMO test, MCM and GUM method are simultaneously employed to evaluate the MU for the relative content of GM maize MON88017 in mixed sample here. The research results show that the relative content of GM maize MON88017 in mixed sample estimated by MCM and GUM methods distributed normally. The MU calculated by MCM(0.04%)is less than that provided by GUM method(0.1%). Moreover, the 95% coverage interval obtained from MCM(1.43%-1.59%)is smaller than that calculated from GUM method(1.34%-1.74%). Generally, the results estimated by MCM are more reliable than those calculated by GUM method. Owing to the normal distribution of output estimated by GUM method, which meet the hypothesis of application of GUM in measurement uncertainty, GUM method can be used in the evaluation of MU for GMO detection.

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相似文献/References:

[1]雍彬,王东,宋君*,等.回归方程在转基因水稻Bt基因定量检测中引入的不确定度评估[J].四川师范大学学报(自然科学版),2013,(02):284.
 YONG Bin,WANG Dong,SONG Jun,et al.Estimation of Measurement Uncertainty Resulting from the Regression Equation in Quantitative Detection of Genetically Modified Rice (Bt gene)[J].Journal of SichuanNormal University,2013,(05):284.

备注/Memo

备注/Memo:
收稿日期:2018-01-03 接受日期:2018-04-09
基金项目:四川省财政创新能力提升工程项目(2016GXTZ-010)
*通信作者简介:雍 彬(1973—),男,教授,主要从事微生物学、生化与分子生物学的研究,E-mail:420163170@qq.com
更新日期/Last Update: 2018-04-15