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Title: Automatic signal decoding and sensor stability of a 3-electrode mixed-potential sensor for NOx/NH3 quantification

Journal Article · · Electrochimica Acta
 [1];  [1];  [2];  [3];  [4]
  1. Univ. of New Mexico, Albuquerque, NM (United States)
  2. ESL ElectroScience, King of Prussia, PA (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. Univ. of New Mexico, Albuquerque, NM (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
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Sensors to detect mixtures of NOx/NH3 are needed to monitor emissions of diesel automobiles where a selective catalytic reduction system uses an NH3 mediated reaction to reduce NOx. We report on the application of a three electrode La0.8Sr0.2CrO3, Au0.5Pd0.5, Pt mixed potential sensor using yttria-stabilized-zirconia (YSZ) as a solid electrolyte to NOx/NH3 sensing. Artificial neural networks were used to automatically decode the concentrations of NOx/NH3 and errors of less than 15% are achieved. The optimal architecture for ANN decoding and the maximum density of training data points are also determined. The stability of the sensor was monitored by electrochemical impedance spectroscopy. The impedance associated with YSZ oxygen ion conduction and the electrochemical reactions at the three-phase interface are tracked for a period of over 100 days.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000; AC04-94-AL85000
OSTI ID:
1459908
Alternate ID(s):
OSTI ID: 1724111
Report Number(s):
SAND-2018-6731J; 664711
Journal Information:
Electrochimica Acta, Vol. 283, Issue C; ISSN 0013-4686
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

Figures / Tables (8)

Figure 1(p. 12)figure Figure 1
Figure 2(p. 13)figure Figure 2
Figure 3(p. 14)figure Figure 3
Figure 4(p. 15)figure Figure 4
Figure 5(p. 15)figure Figure 5
Figure 6(p. 16)figure Figure 6
Figure 7(p. 17)figure Figure 7
Figure 8(p. 17)figure Figure 8

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Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
NOx
NH3
mixed potential sensor
artificial neural network