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Broadband Dielectric Spectroscopic Detection of Ethanol: A Side-by-Side Comparison of ZnO and HKUST-1 MOFs as Sensing Media†,‡

Amoah, Papa K.; Hassan, Zeinab Mohammed 1; Lin, Pengtao; Redel, Engelbert; Baumgart, Helmut; Obeng, Yaw S.
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)

Abstract:

The most common gas sensors are based on chemically induced changes in electrical resistivity and necessarily involve making imperfect electrical contacts to the sensing materials, which introduce errors into the measurements. We leverage thermal- and chemical-induced changes in microwave propagation characteristics (i.e., S-parameters) to compare ZnO and surface-anchored metal–organic-framework (HKUST-1 MOF) thin films as sensing materials for detecting ethanol vapor, a typical volatile organic compound (VOC), at low temperatures. We show that the microwave propagation technique can detect ethanol at relatively low temperatures (<100 °C), and afford new mechanistic insights that are inaccessible with the traditional dc-resistance-based measurements. In addition, the metrological technique avoids the inimical measurand distortions due to parasitic electrical effects inherent in the conductometric volatile organic compound detection.


Verlagsausgabe §
DOI: 10.5445/IR/1000149058
Veröffentlicht am 27.07.2022
Originalveröffentlichung
DOI: 10.3390/chemosensors10070241
Scopus
Zitationen: 3
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2227-9040
KITopen-ID: 1000149058
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Chemosensors
Verlag MDPI
Band 10
Heft 7
Seiten Art.-Nr.: 241
Vorab online veröffentlicht am 25.06.2022
Schlagwörter broadband dielectric microwave spectroscopy; solid-state ZnO-sensing material; HKUST-1 metal–organic framework (MOF) sensing material; ethanol detection
Nachgewiesen in Web of Science
Scopus
Dimensions
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