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Flexible Room-Temperature NH3 Sensor for Ultrasensitive, Selective, and Humidity-Independent Gas Detection

Authors
Li, Hua-YaoLee, Chul-SoonKim, Do HongLee, Jong-Heun
Issue Date
22-8월-2018
Publisher
AMER CHEMICAL SOC
Keywords
gas sensor; ammonia; CeO2-coated CuBr; humidity dependence; exhaled breath analysis; selectivity; medical diagnosis
Citation
ACS APPLIED MATERIALS & INTERFACES, v.10, no.33, pp.27858 - 27867
Indexed
SCIE
SCOPUS
Journal Title
ACS APPLIED MATERIALS & INTERFACES
Volume
10
Number
33
Start Page
27858
End Page
27867
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/73739
DOI
10.1021/acsami.8b09169
ISSN
1944-8244
Abstract
Ammonia (NH3) is an irritant gas with a unique pungent odor; sub-parts per million-level breath ammonia is a medical biomarker for kidney disorders and Helicobacter pylon bacteria-induced stomach infections. The humidity varies in both ambient environment and exhaled breath, and thus humidity dependence of gas-sensing characteristics is a great obstacle for real-time applications. Herein, flexible, humidity-independent, and room-temperature ammonia sensors are fabricated by the thermal evaporation of CuBr on a polyimide substrate and subsequent coating of a nanoscale moisture-blocking CeO2 overlayer by electron beam evaporation. CuBr sensors coated with a 100 nm-thick CeO2 overlayer exhibits an ultrahigh response (resistance ratio) of 68 toward 5 ppm ammonia with excellent gas selectivity, rapid response, reversibility, and humidity-independent sensing characteristics at room temperature. In addition, the sensing performance remains stable after repetitive bending and long-term operation. Moreover, the sensors exhibit significant response to the simulated exhaled breath of patients with H. pylori infection; the simulated breath contains 50 ppb NH3. The sensors thus show promising potential in detecting sub-parts per million-level NH3, regardless of humidity fluctuations, which can open up new applications in wearable devices for in situ medical diagnosis and indoor/outdoor environment monitoring.
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