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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Fast and accurate multiplex identification and quantification of seven genetically modified soybean lines using six-color digital PCR</dc:title><dc:creator>Bogožalec Košir,	Alexandra	(Avtor)
	</dc:creator><dc:creator>Muller,	Sabine	(Avtor)
	</dc:creator><dc:creator>Žel,	Jana	(Avtor)
	</dc:creator><dc:creator>Milavec,	Mojca	(Avtor)
	</dc:creator><dc:creator>Mallory,	Allison C.	(Avtor)
	</dc:creator><dc:creator>Dobnik,	David	(Avtor)
	</dc:creator><dc:subject>digital PCR</dc:subject><dc:subject>dPCR</dc:subject><dc:subject>quantification</dc:subject><dc:subject>multiplexing</dc:subject><dc:subject>genetically modified organisms</dc:subject><dc:subject>6-color system</dc:subject><dc:subject>virus diagnostics</dc:subject><dc:subject>virology</dc:subject><dc:description>The proliferation of genetically modified organisms (GMOs) presents challenges to GMO testing laboratories and policymakers. Traditional methods, like quantitative real-time PCR (qPCR), face limitations in quantifying the increasing number of GMOs in a single sample. Digital PCR (dPCR), specifically multiplexing, offers a solution by enabling simultaneous quantification of multiple GMO targets. This study explores the use of the Naica six-color Crystal dPCR platform for quantifying five GM soybean lines within a single six-plex assay. Two four-color assays were also developed for added flexibility. These assays demonstrated high specificity, sensitivity (limit of detection or LOD &lt; 25 copies per reaction) and precision (bias to an estimated copy number concentration &lt;15%). Additionally, two approaches for the optimization of data analysis were implemented. By applying a limit-of-blank (LOB) correction, the limit of quantification (LOQ) and LOD could be more precisely determined. Pooling of reactions additionally lowered the LOD, with a two- to eight-fold increase in sensitivity. Real-life samples from routine testing were used to confirm the assays’ applicability for quantifying GM soybean lines in complex samples. This study showcases the potential of the six-color Crystal dPCR platform to revolutionize GMO testing, facilitating comprehensive analysis of GMOs in complex samples.</dc:description><dc:date>2023</dc:date><dc:date>2024-03-29 11:42:31</dc:date><dc:type>Neznano</dc:type><dc:identifier>18583</dc:identifier><dc:identifier>UDK: 578</dc:identifier><dc:identifier>ISSN pri članku: 2304-8158</dc:identifier><dc:identifier>DOI: 10.3390/foods12224156</dc:identifier><dc:identifier>COBISS_ID: 173360131</dc:identifier><dc:language>sl</dc:language></metadata>
