in the gas mixtures. Overall, the IN sensor could
detect NO
2
selectively, whereas the SN sensors
detected all four gases (CO, NO
2
, NH
3
and HCHO).
If coupled with an IN sensor, SN is capable of
detecting NO
2
sensitively. On the other hand, the gas
sensitivity signals of the two sensors were not
sufficient for the detection of all four gases. The WO
and SZ sensors detected all four gases but had low
gas selectivity. Therefore, the four-sensor-array
would be sufficient to discriminate mixtures of these
gases. To gain clear insight into the applicability of
the sensor array in this application, the responses
with sensitivity can be arranged in a 4 × 4 matrix, in
which each element represents the response of each
sensor to each target gas. This matrix suggests how
the different gas contributions can be extrapolated
from the sensor array data using the signal process.
4 CONCLUSIONS
The sensing properties for the MEMS-based MOS
gas sensors were investigated with gas mixtures
along CO, NO
X
, NH
3
, and HCHO gases. Four
different gas sensors were fabricated for the
detection of CO, NO
X
, NH
3
, and HCHO gases,
respectively. Each sensor exhibited good sensitivity
to its target gas, and the optimum operating
temperature of micro-heater was examined. The
sensing response behaviors for gas mixture were
analyzed using the experimental data in the MEMS
gas sensor arrays with respect to selectivity and
response pattern. The gas sensing behaviors in
mixed gas systems suggest that specific adsorption
and selective activation of adsorption sites might
occur in gas mixtures and offer priority for the
adsorption of a specific gas. An analysis of the
sensing performance of the sensor arrays will make
it possible to discriminate the components in
harmful gas mixtures as well as their concentrations
using pattern recognition techniques.
ACKNOWLEDGEMENTS
This research was supported by the National
Research Foundation of Korea (NRF) funded by the
Korea government (MSIP) (No. 2015-
R1A2A2A01005790).
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