Shipin Kexue (Aug 2023)

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

  • DENG Tingting, HUANG Wensheng, CAO Jijuan, YU Ning, XING Ranran, ZHANG Jiukai, GE Yiqiang, CHEN Ying

DOI
https://doi.org/10.7506/spkx1002-6630-20220921-211
Journal volume & issue
Vol. 44, no. 16
pp. 318 – 323

Abstract

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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.

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