FOOD SCIENCE ›› 2023, Vol. 44 ›› Issue (16): 318-323.doi: 10.7506/spkx1002-6630-20220921-211

• Safety Detection • Previous Articles     Next Articles

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   

  1. (1. Chinese Academy of Inspection and Quarantine, Beijing 100176, China; 2. School of Life Sciences, Dalian Minzu University, Dalian 116600, China; 3. China Rural Technology Development Center, Beijing 100045, China)
  • Online:2023-08-25 Published:2023-09-01

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.

Key words: genetically modified organism; low-level presence; digital polymerase chain reaction; quantitation

CLC Number: