TY - GEN
T1 - Microsensor analyses for trace targets over extended times in a simulated Martian environment
AU - Benkstein, K. D.
AU - Rogers, P. H.
AU - Montgomery, C. B.
AU - Semancik, S.
AU - Jin, C.
AU - Raman, B.
PY - 2013
Y1 - 2013
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84893920275&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2013.6688126
DO - 10.1109/ICSENS.2013.6688126
M3 - Conference contribution
AN - SCOPUS:84893920275
SN - 9781467346405
T3 - Proceedings of IEEE Sensors
BT - IEEE SENSORS 2013 - Proceedings
PB - IEEE Computer Society
T2 - 12th IEEE SENSORS 2013 Conference
Y2 - 4 November 2013 through 6 November 2013
ER -