Nowadays, sensors are designed to consume less power with decreased size, making them suitable for application in low-power wireless sensor networks (WSN) systems. The challenge is not to compromise on the sensor’s sensitivity and selectivity towards the target. This thesis studies various options to improve the limits of detection. Usually, sensors are limited in detection range and resolution; they are also restricted by cross sensitivity towards other target agents and other parameters. This cross sensitivity, towards humidity and temperature, for instance, reduces the sensor’s detection limit and, therefore, its usability. This work discusses three examples where the limit of detection has been investigated, localised and improved with nanotech-based sensors.
The first example is a nanowire-based hydrogen sensor. The second example was based on a potentiometric-sensor principle, capable of sensing CO2. The third example is an Inter-Digitated Electrode (IDE) sensor, capable of selective sensing through the coating of an active layer.
|Qualification||Doctor of Philosophy|
|Award date||10 Apr 2017|
|Place of Publication||Wageningen|
|Publication status||Published - 2017|
- data processing