09:00 〜 09:15
▲ [24a-E105-1] Electronic Nose based on Electrospinning Nanofibers Gas Sensor Array for Multiple Gas Classification
キーワード：Gas sensor, Metal oxide, Nanofibers
This work applies a facile single needle electrospinning method to develop the four different metal oxide semiconductor (MOS) nanofibers sensor array (SnO2, CuO, ZnO, and In2O3, respectively) based E-nose device to generate. The nanofibers sensor array shows a smooth surface and constant nanofiber diameter (an average of 150 nm) result in high sensitivity toward the target analyte gases. The dynamic sensing response of the fabricated multiple nanofibers sensor array was measured for five kinds of target various target analytes VOCs, including ammonia, ethanol, acetone, isoprene, and acetaldehyde. These five gases were selected based on their close relationship with a human health condition and have potential application in breath analysis. The concentration of all target gases was set at 20 ppm. The time serial resistance of each nanofiber sensor was recorded. Considering that gas sensors with different oxide materials have different responses to additional detectors, their characteristics are calculated through the obtained time series resistance change curve, including resistance change, response, and recovery time. Lastly, the principal component analysis (PCA) is applied to distinguish between the five types of gases based on the feature extracted above. As clearly shown in Fig. 1(a), all five gases were distinguished via multiple gas sensor arrays and pattern recognition.