According to the International Service for the Acquisition of
Agri-biotech Applications (ISAAA), as of October 3, 2014, more than
350 genetically modified (GM) events in 27 crops have been
developed and have received regulatory approval in many countries
since the first commercial cultivation of GM crops in 1996
(James, 2014). Among these GM events, the four main GM crops
(soybean, maize, canola, and cotton) represent approximately
67.8%. Maize has the most GM events (135), followed by cotton (52),
soybean, and canola (30 each).
The increase in the number of GM events has raised a constant
challenge for GMO testing groups. Many laboratories struggle to
develop high-throughput, efficient, cost-effective, simple, and fast
analytical tools to track and identify genetically modified organisms
(GMOs). Nevertheless, polymerase chain reaction (PCR)-based
detection methods have been used as the most typical tool for GMO
detection (