Penghua Sun, Maher Rizkalla and Mohamed El-Sharkawy, Purdue School of Engineering and Technology, USA

Smart nanotechnology materials have been recently utilized in sensing applications. Carbon nanotube (CNT) based SoC sensor systems have potential applications in various fields, including medical, energy, consumer electronics, computers, and HVAC (heating, ventilation, and air conditioning) among others. In this study, a nanotechnology multisensory system was designed and simulated using Labview Software. The mathematical models were developed for sensing three physical quantities: temperature, gas, and pressure. Four CNT groups on a chip (two for gas sensor, one for temperature, and a fourth one for pressure) were utilized in order to perform sensing multiple parameters. The proposed fabrication processes and the materials used were chosen to avoid the interference of these parameters on each other when detecting one of them. The simulation results were translated into analog voltage from Labview software, transmitted via Bluetooth network, and received on desktop computers within the vicinity of the sensor system. The mathematical models and simulation results showed as high as 95% accuracy in measuring temperature, and the 5% error was caused from the interference of the surrounding gas. Within 7% change in pressure was impacted by both temperature and gas interference.