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Autor(en) / Beteiligte
Titel
Selective detection of elemental mercury vapor using a surface acoustic wave (SAW) sensorElectronic supplementary information (ESI) available. See DOI: 10.1039/c5an00360a
Erscheinungsjahr
2015-07
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The detection of elemental mercury (Hg 0 ) within industrial processes is extremely important as it is the first major step in ensuring the efficient operation of implemented mercury removal technologies. In this study, a 131 MHz surface acoustic wave (SAW) delay line sensor with gold electrodes was tested towards Hg 0 vapor (24 to 365 ppb v ) with/without the presence of ammonia (NH 3 ) and humidity (H 2 O), as well as volatile organic compounds (VOCs) such as acetaldehyde (MeCHO), ethylmercaptan (EM), dimethyl disulfide (DMDS) and methyl ethyl ketone (MEK), which are all common interfering gas species that co-exist in many industrial applications requiring mercury monitoring. The developed sensor exhibited a detection limit of 0.7 ppb v and 4.85 ppb v at 35 and 55 °C, respectively. Furthermore, a repeatability of 97% and selectivity of 92% in the presence of contaminant gases was exhibited by the sensor at the chosen operating temperature of 55 °C. The response magnitude of the developed SAW sensor towards different concentrations of Hg 0 vapor fitted well with the Langmuir extension isotherm (otherwise known as loading ratio correlation (LRC)) which is in agreement with our basic finite element method (FEM) work where an LRC isotherm was observed for a simplified model of the SAW sensor responding to different Hg contents deposited on the Au based electrodes. Overall, the results indicate that the developed SAW sensor can be a potential solution for online selective detection of low concentrations of Hg 0 vapor found in industrial stack effluents. Theoretical and experimental demonstration that the developed SAW based sensor is highly sensitive and selective toward mercury vapor.
Sprache
Englisch
Identifikatoren
ISSN: 0003-2654
eISSN: 1364-5528
DOI: 10.1039/c5an00360a
Titel-ID: cdi_rsc_primary_c5an00360a
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