Sensors for detecting various gases, such as nitrogen oxides, play a major role in times of climate change in protecting the environment from the possible toxic influences of such gases. Due to their usually complex design, gas sensors may react to changes in the operating temperature, which can occur due to different ambient influences. This article shows two methods for accurately measuring the temperature on the surface of a sensor under realistic conditions.

Continuous inspection of gases is increasingly important for process monitoring, like fruit ripening. This involves the detection of individual markers in complex gas mixtures, e.g., to indicate spoilage. Unfortunately, classical techniques are lab-bound and resource-intensive. Hence, small, low-cost systems are being developed. Thereto, we propose a sensor system, containing a non-heated gas separation unit and gas sensors combined with a compensation of surrounding temperature effects.

Because most commercialized current sensors can only measure current flow when a signal line is inserted into a clamp-shaped probe, it is impossible to measure the current waveform of a high-end PCB with a sub-millimeter fine pitch. We developed a pin-type current probe with high sensitivity, targeting the analysis of high-end PCBs. The probe can measure the current waveform by simply contacting the measurement point. This paper reports on the current sensor development.

This study concerns development and evaluation of a high-temperature-resilient ammonia sensor tailored for ammonia slip monitoring to improve NO_x and NH₃ emission reduction from coal-fuelled, biomass-fuelled, heat and power plants. In particular, by tuning the gas-sensitive materials' nanostructure, the interference from carbon monoxide in the ammonia measurement could be markedly reduced, thus allowing more accurate ammonia monitoring in the flue gas from a real combined heat and power plant.

Many applications which measure physical quantities rely on wireless surface acoustic wave sensors. The accuracy of this sensor depends directly on the measurement of its main frequency. This paper aims to compare three methods for this measurement in one shot: fast Fourier transform, discrete wavelet transform, and empirical mode decomposition. Results show that the choice of the method is conditioned by the disturbance level and that the wavelet method is the best way for harsh environments.