Metal oxide semiconductor (MOS) gas sensors have proven to be useful in many applications, ranging from detection of hazardous gases to monitoring of air quality. The demand for power efficient and high performance gas sensors has seen an increase in situations facing contemporary society. Currently it is common for sensors to employ an energy inefficient heater to provide for the optimal working temperature of the sensor. Light activation has been proposed as an alternative that could possibly improve modern gas sensors by decreasing energy utilization as well as increasing sensitivity and selectivity. The purpose of the following project is to explore the mechanisms and characteristics of light activated gas sensing using cuprous oxide (Cu2O), such that the findings may contribute to the development of power efficient gas sensors able to distinguish between gases at low concentrations. Several Cu2O-sensors with thicknesses of 300, 500 and 700 nm were examined, many of which also were doped with materials such as silver, graphene and titanium. Multiple types of measurements were performed where the sensors were exposed to nitrogen and carbon dioxide gas under illumination from one of three distinct light sources. The results show that conditions such as low light intensities, doping the sensors and air as the operating environment (compared to nitrogen gas) are beneficial for the carbon dioxide response under light activation. However, these findings are only indications and would need confirmation by additional measurements, both in terms of variation and repetition, under improved conditions.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-315172 |
| Date | January 2022 |
| Creators | Yousef, Gabriel, Persson, Carl |
| Publisher | KTH, Fysik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-SCI-GRU ; 2022:078 |
Page generated in 0.0024 seconds