Do you develop sensors for e-health applications? Or devices for measurements on liquid, gas, soil or food? The Citizen Science Living Lab can help to predict the effects on the larger process of these devices, make suggestions to optimize these effects and draw up a measurement protocol for the use of the devices:

Effect prediction of sensors

The Citizen Science Living Lab has specific expertise in the field of prediction models for small measuring instrumentation. With these models, for example, the possible effect of an e-health measurement on a patient's treatment can be predicted. The prediction models are based on measurements made with high-end equipment such as benchtop equipment.

Effect optimisation of sensors

A logical next step is effect optimisation. The prediction models are then used, for example, to determine the optimal position for the sensor in the process or to determine the wavelengths at which the measurement is most effective. We can also draw up an interference report, mapping out which substances or measurement conditions could disrupt the measurement.

Testing measurement protocol

With the information from the prediction models we can draw up and test a measurement protocol (Standard Operating Procedure, SOP). This protocol indicates, for example, the correct order of measurements, how they should be performed, reference measurements and duplicates or triplicates.


The Citizen Science Living Lab has specific expertise and instrumentation in the field of biosensors, sensors that consist of biological material. We can map both the biological recognition principles (bioreceptors) and the surface modifications of the sensor in detail. For this purpose, state-of-the-art instrumentation for surface analysis and label-free bio interaction equipment, such as surface plasmon resonance (SPR), are used. The experimental garden also has a facility for making synthetic peptides so that testing can also be carried out with relatively simple model systems