Enhanced sensitivity and reliability of a self-cleaning room temperature gas sensor
POSTER
Abstract
A room temperature SnO2 gas sensor with different sensitivity to CO and NH3 gases was fabricated on a silicon substrate with nanostructures formed by femtosecond laser irradiation in water. After deposition of a silane monolayer, the nanostructured sensor surface showed super hydrophobic wetting behavior and exhibited self-cleaning properties like lotus leaves. The reliability of the self-cleaning of the sensor was investigated under thousands of cleaning cycles and characterized by measurement of the sensitivity change during this cleaning process.
Authors
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Haizhou Ren
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Haibin Huo
UML
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Pengtao Wang
UML
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Cong Wang
UML
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Sai Liu
UML
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Mengyan Shen
UMass Lowell, UML
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Hongwei Sun
UML
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Marina Ruths
UML