Dario ZappaNavpreet KaurAbderrahim MoumenElisabetta Comini
Accurate hydrogen leakage detection is a major requirement for the safe and widespread integration of this fuel in modern energy production devices, such as fuel cells. Quasi-1D nanowires of seven different metal oxides (CuO, WO3, Nb-added WO3, SnO2, ZnO, α-Bi2O3, NiO) were integrated into a conductometric sensor array to evaluate the hydrogen-sensing performances in the presence of interfering gaseous compounds, namely carbon monoxide, nitrogen dioxide, methane, acetone, and ethanol, at different operating temperatures (200–400 °C). Principal component analysis (PCA) was applied to data extracted from the array, demonstrating the ability to discriminate hydrogen over other interferent compounds. Moreover, a reduced array formed by only five sensors is proposed. This compact array may be easily implementable into artificial olfaction systems used in real hydrogen detection applications.
Massood Z. AtashbarD. BanerjiSrikanth Singamaneni
Dante DeMeoSam MacNaughtonZhilong WangXinjie ZhangSameer SonkusaleThomas E. Vandervelde
Gwang Su KimYumin ParkJoonchul ShinYoung Geun SongChong‐Yun Kang
Fanli MengHaocheng LiZhenyu Yuan