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Quantitative tests for GMOs rely on molecular factors such as how many sets of chromosomes a crop has (ploidy level) and the number of times the foreign gene is present in the crop’s genome. The ratio of the two is what determines the percentage GM content. This project aims to find out more about these characteristics to enable the development of testing protocols. It also aims to sharpen accuracy, lower the detection limit, and take inventory of materials and equipment to see if there is room for improvement.

To cut back on inaccuracy in PCR tests, researchers are looking into automating certain steps of the process. The project also aims to improve the accuracy of quantitative PCR by pinpointing steps that could introduce uncertainty.

PCR tests for GM content in highly processed samples such as oils typically cannot detect the presence of GMOs below 0.9 percent. The task finds ways to lower the minimum detection limit of PCR tests to be able to conduct tests on highly processed samples.

Finally, this task takes stock of the various reaction solutions and equipment available on the market today. Different types of equipment in combination with different fluorescence based detection chemistries are evaluated in order to be able to make recommendations to maximise accuracy, sensitivity, and cost-effectiveness.

The team has reached only preliminary, unpublished results at this stage of the project.