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Publishing Language: Chinese | Open Access

Quantitative Detection and Uncertainty Analysis of Low-level Presence of Genetically Modified Ingredient in Soybean

Tingting DENG1 Wensheng HUANG1Jijuan CAO2Ning YU1Ranran XING1Jiukai ZHANG1Yiqiang GE3Ying CHEN1 ( )
Chinese Academy of Inspection and Quarantine, Beijing 100176, China
School of Life Sciences, Dalian Minzu University, Dalian 116600, China
China Rural Technology Development Center, Beijing 100045, China
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Abstract

In this study, the low-level presence of genetically modified (GM) soybean event GTS-40-3-2 was quantitatively detected and the measurement uncertainty was estimated. Within 95% confidence interval, the quantitative method developed using real-time polymerase chain reaction (PCR) and digital PCR could stably detect 0.01% GTS-40-3-2 content with acceptable cost and uncomplicated operation, while the digital PCR method could quantify 0.1% GTS-40-3-2 content accurately, and the quantitative error did not exceed 50% even at GTS-40-3-2 content as low as 0.05%. The sources of uncertainty in quantitative digital PCR analysis were analyzed, and the calculation formula for uncertainty was derived from calculation models in analytical chemistry. Furthermore, GTS-40-3-2 was used for laboratory verification. The expanded uncertainty in quantitative analysis of 0.1% and 0.05% GTS-40-3-2 contents was calculated as 23.56% and 107.29% (k = 2), respectively.

CLC number: TS201.6 Document code: A Article ID: 1002-6630(2023)16-0318-06

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Food Science
Pages 318-323

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Cite this article:
DENG T, HUANG W, CAO J, et al. Quantitative Detection and Uncertainty Analysis of Low-level Presence of Genetically Modified Ingredient in Soybean. Food Science, 2023, 44(16): 318-323. https://doi.org/10.7506/spkx1002-6630-20220921-211

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Received: 21 September 2022
Published: 25 August 2023
© Beijing Academy of Food Sciences 2023.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).