Saet-Byul Park

Ms. Saet-Byul Park


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2019 in Food Science and Biotechnology
Verified
Journal Article
Closed access
PDF file
SSSeung-Man Suh
Seung-Man Suh
SPSaet-Byul Park
Saet-Byul Park
MKMi-Ju Kim
Mi-Ju Kim
Hae-Yeong KimHae-Yeong Kim
Hae-Yeong Kim

13 March 2021 in Foods
Verified
Journal Article
Open access
PDF file
SPSaet-Byul Park
Saet-Byul Park
JKJi-Yeong Kim
Ji-Yeong Kim
DLDo-Geun Lee
Do-Geun Lee
JKJae-Hwan Kim
Jae-Hwan Kim
MSMin Ki Shin
Min Ki Shin
Hae-Yeong KimHae-Yeong Kim
Hae-Yeong Kim
A screening method using the 35S promoter and nos terminator for genetically modified organisms (GMOs) is not sufficient to cover all GM soybean events. In this study, a real-time polymerase chain reaction (also known as quantitative polymerase chain reaction, qPCR) array targeting eight screening assays combined with a prediction system was developed for the rapid tracking of GM soybeans. Each assay’s specificity was tested and confirmed using 17 GM soybean events that have been approved in Korea. The sensitivity of each assay was determined to range from 0.01% to 0.05% using DNA mixtures with different GM ratios, and it was validated by the results of three experimenters. The applicability of this study was tested by monitoring 23 processed foods containing soybeans. It was figured out that 13 of the 23 samples included GM soybeans. The prediction system combined with screening results will be helpful to trace the absence/presence of GM soybean events. This new qPCR array and prediction system for GM soybean detection provides rapid, convenient and reliable results to users.