developed with reasonable input [1][2][3][4][5]. A drawback of these analytical methods is the required reference material with known amount of GMO to calibrate the result of the unknown sample. Reference material itself introduces variation due to factors influencing the variation using PCR methods (e.g. inhibition, inherent measurement uncertainty). In addition, when analysing small series of samples, the required standards make a substantial amount of the reactions. Digital PCR may solve this inefficiency and inherent measurement uncertainty by making the use of reference material dispensable [6-9]. This saves not only expenses and work, but in cases where no reference material is available, it remains the only way to quantify at all.As the first step of the detection of gm plants, screening methods detecting target sequences present in many different gm plants are commonly used [10,11]. However, due to the lack of such sequences, in many cases screening methods developed so far do not detect gm soy events. For the detection of these soy events, single event-specific methods have to be used for each gm plant. Multiplex real-time PCR for the simultaneous detection of different gm soy can circumvent this time-and cost-consuming procedure. In addition, quantitative results of gm amount can be obtained. Therefore, we developed first a multiplex real-time PCR system for the quantitative determination of MON87769, MON87708, MON87705 and FG72 simultaneously (called AllSoyC). Additionally, we developed 4 duplex droplet digital PCR systems for the determination of the lectin (housekeeping gene) and the appropriate transgene marker gene. The results of both methods were compared [12] to assess whether quantification without using reference material is feasible and which method is more promising for the quantification of unknown samples.Abstract New genetically modified (gm) soy crops are going to be released for human consumption. Therefore, analytical skills have to be developed towards an efficient detection and determination of GMO content in feed and food. Existing approaches to screen gm plants do not detect new gm soy traits in many cases. Therefore, a multiplex quantitative real-time PCR system was developed and characterized for the four new transgenic soy traits MON87769, MON87708, MON87705 and FG72 to avoid time-and cost-consuming application of single event detection. It showed amplification efficiency, correlation and limit of quantification similar to the single PCR systems applied. The droplet digital PCR showed increased specificity. In parallel, we developed four duplex droplet digital PCR systems and compared the results from both methods. This showed that both approaches are fit for routine diagnostics. Real-time PCR may be more suited for screening as it is very cost-efficient. Digital PCR may be more suitable for quantitative analysis as it exhibited a measurement uncertainty of only 17 % or below for a single reaction.