| Title: | Digital PCR as an effective tool for GMO quantification in complex matrices |
|---|
| Authors: | ID Bogožalec Košir, Alexandra (Author)
ID Demšar, Tina (Author)
ID Štebih, Dejan (Author)
ID Žel, Jana (Author)
ID Milavec, Mojca (Author) |
|---|
| Files: |  PDF - Presentation file, download (549,17 KB)
MD5: 19A2756FE96F6A32AC3019AA967E2FA1
 URL - Source URL, visit https://doi.org/10.1016/j.foodchem.2019.05.029
|
|---|
| Language: | English |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: |  NIB - National Institute of Biology
|
|---|
| Abstract: | The increased use of genetically modified organisms (GMOs) is accompanied by increased complexity of the matrices that contain GMOs. The most common DNA-based approach for GMO detection and quantification is real-time quantitative polymerase chain reaction (qPCR). However, as qPCR is sensitive to inhibitors and relies on standard curves for quantification, it has limited application in GMO quantification for complex matrices. To overcome this hurdle in DNA quantification, we present droplet digital PCR (ddPCR) assays that were designed to target ‘Roundup Ready’ soybean and the soybean reference gene. Three ddPCR assays were transferred from qPCR to QX100/QX200 ddPCR platforms and characterised. Together, the fitness-for-purpose study on four real-life samples and the use of a chamber-based PCR system, showed that dPCR has great potential to improve such measurements in GMO testing and monitoring of food authenticity. |
|---|
| Keywords: | genetically modified organisms, digital PCR, GMO quantification, complex matrices |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 01.10.2019 |
|---|
| Year of publishing: | 2019 |
|---|
| Number of pages: | str. 73-78 |
|---|
| Numbering: | Vol. 294 |
|---|
| PID: | 20.500.12556/DiRROS-19581  |
|---|
| UDC: | 577.2 |
|---|
| ISSN on article: | 0308-8146 |
|---|
| DOI: | 10.1016/j.foodchem.2019.05.029 |
|---|
| COBISS.SI-ID: | 5062223 |
|---|
| Publication date in DiRROS: | 23.07.2024 |
|---|
| Views: | 288 |
|---|
| Downloads: | 175 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
