Improved perceived air quality applying MOS sensor technology

Due to increasing interest in IAQ monitoring and DCV aiming at improved perceived air quality, the objective of this work was to develop a reliable, low cost module based on a single micro-machined MOS gas sensor. Most attempts to implement DCV so far rely on the quantification of CO2 as a tracer of human occupancy. Real-life data, applying MOS gas sensor, GC/MS and GCO were recorded to detect VOCs and identify odorous compounds in indoor air generated by humans and bring out correlation of MOS gas sensor data with perceived air quality. A good correlation with TVOCs as well as specific quantifiable VOCs could be observed. Implying a suitable evaluation algorithm, a perfect correlation of predicted with measured CO2 concentrations could be achieved. Broad sensitivity of MOS gas sensors enables monitoring the overall IAQ beyond CO2 by achieving a high correlation with CO2 leading to improved air quality by DCV