DocumentCode
656861
Title
Microsensor analyses for trace targets over extended times in a simulated Martian environment
Author
Benkstein, Kurt D. ; Rogers, P.H. ; Montgomery, C.B. ; Semancik, Steve ; Jin, C. ; Raman, Baranidharan
Author_Institution
Mater. Meas. Lab., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
fYear
2013
fDate
3-6 Nov. 2013
Firstpage
1
Lastpage
4
Abstract
We have studied the performance of a chemical microsensor array in a simulated Martian environment, which involved a carbon dioxide-rich background with low oxygen content (0.15 %) at low pressure and temperature to mimic the conditions at the Martian surface. Gas-phase target analytes (methane, ethane, hydrogen and sulfur dioxide) in complex ternary mixtures at concentrations of 200 nmol/mol and below were presented to the microsensor array under these conditions. The array featured individual metal oxide sensing elements on microhotplate platforms. We will review our operational approach for this extraterrestrial environment and report on the capabilities of the microsensor for detecting the target analytes. In particular, we will emphasize the application of Partial Least Squares-Discriminant Analysis (PLS-DA) models for the detection of the analytes, and discuss how the microsensor array performed over extended periods of operation (up to 3 weeks between training and test exposures).
Keywords
Mars; astronomical instruments; gas sensors; least squares approximations; microsensors; planetary atmospheres; planetary composition; planetary landers; sensor arrays; H2; Martian surface; SO2; carbon dioxide-rich background; chemical microsensor array; ethane; extraterrestrial environment; gas-phase target analytes; hydrogen; low oxygen content; methane; microhotplate platforms; microsensor analyses; partial least squares-discriminant analysis models; simulated Martian environment; sulfur dioxide; trace targets; Arrays; Atmospheric modeling; Microsensors; Temperature sensors; Tin; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
SENSORS, 2013 IEEE
Conference_Location
Baltimore, MD
ISSN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2013.6688126
Filename
6688126
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