采用蒙特卡洛法评定转基因水稻样品中NOS终止子的测量不确定度

doi:10.3969/j.issn.1000-1158.2019.01.27

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Abstract Owing to the complex process of GMO testing such as multi-stages with several intermediate inputs/outputs and their joint probability distribution, the propagation of probability distribution was employed here for the first time to evaluate the MU in NOS terminator from genetically modified rice using Monte Carlo Method. The results showed that the relative content of NOS termination was 2.95%, very close to the theoretical content (3%), and the standard uncertainty was 2.13×10^-4, which was much less than 1.00×10^-2. In the coverage probability 95%, the relative content of NOS terminator is within a very narrow range of 2.91%~3.00%, indicating the measurement quality in this work is very good, and the measurement results are very reliable. Moreover, the relative contents of NOS terminator followed standard normal distribution, revealing the measuring conditions in the testing of GMOs are agreement with the assumption in GUM approach. Consequently, both MCM and GUM method can be applied to evaluation of measurement uncertainty in the detection of GMOs.

Key words： metrology transgene measurement propagation of probability distribution evaluation of measurement uncertainty MCM

Received: 13 December 2017 Published: 07 January 2019

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TB99

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	Articles by authors
	SONG Jun
	CHANG Li-juan
	ZHANG Fu-li
	WANG Dong
	LI Jie

Cite this article:

SONG Jun,CHANG Li-juan,ZHANG Fu-li, et al. Measurement uncertainty in NOS terminator from genetically modified rice estimated by Monte Carlo Method[J]. Acta Metrologica Sinica, 2019, 40(1): 164-171.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.01.27 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I1/164

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