We have investigated chemical sensing properties of three polymeric films (organic and organometallic poly-ynes) by a surface acoustic wave (SAW) and surface transverse wave (STW) sensor, at room temperature. The sensor system, consisting of an acoustic two-port resonator operating at 433.92 and 380.8 MHz, respectively, has been configured as a frequency oscillator, including an integrated electronic module. The polymeric membranes have been tested, at room temperature, toward gases (NO2, NO, NH3, CO. CH4, SO2, H2S in N-2), relative humidity (RH), and vapours (ethanol, acetone, ethyl-acetate) by showing high sensitivity and low selectivity. A comparison of sensing performance of our SAW RH sensors with a commercial hygrometer has been realised, Principal component analysis (PCA) has been applied as pattern recognition technique achieving good separation for the examined vapours, at tested low concentrations. (C) 2001 Elsevier Science B.V. All rights reserved.
SAW chemical sensing using poly-ynes and organometallic polymer films / M., Penza; G., Cassano; Sergi, Antonino; C., Lo Sterzo; Russo, Maria Vittoria. - In: SENSORS AND ACTUATORS. B, CHEMICAL. - ISSN 0925-4005. - 81:1(2001), pp. 88-98. [10.1016/s0925-4005(01)00937-6]
SAW chemical sensing using poly-ynes and organometallic polymer films
SERGI, ANTONINO;RUSSO, Maria Vittoria
2001
Abstract
We have investigated chemical sensing properties of three polymeric films (organic and organometallic poly-ynes) by a surface acoustic wave (SAW) and surface transverse wave (STW) sensor, at room temperature. The sensor system, consisting of an acoustic two-port resonator operating at 433.92 and 380.8 MHz, respectively, has been configured as a frequency oscillator, including an integrated electronic module. The polymeric membranes have been tested, at room temperature, toward gases (NO2, NO, NH3, CO. CH4, SO2, H2S in N-2), relative humidity (RH), and vapours (ethanol, acetone, ethyl-acetate) by showing high sensitivity and low selectivity. A comparison of sensing performance of our SAW RH sensors with a commercial hygrometer has been realised, Principal component analysis (PCA) has been applied as pattern recognition technique achieving good separation for the examined vapours, at tested low concentrations. (C) 2001 Elsevier Science B.V. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
