Dynamic
working temperature modulation has received considerable
attention as a way to enable metal oxide-based gas sensors to recognize
the detected gases. Previous reports mainly focused on heating-voltage
waveform manipulation and algorithm improvement, not involving the
insight of the temperature modulation sensing behavior correlated
with fine nanostructures of metal oxide. Here, three types of SnO2 nanoparticles with different percentages of high-energy {221}
and low-energy {110} crystal facets were synthesized and assembled
as gas sensors. Under a working temperature modulation by applying
a square wave pulse heating voltage, their dynamic response behaviors
toward volatile organic compounds (VOCs) including alcohols, aldehydes,
ketones, amines, and aromatic compounds were systematically explored.
The results indicated that they exhibited different characteristic
response curves toward different VOCs, presenting the crystal facet-dependent
temperature modulation sensing behaviors. This effect was analyzed
further and explored in conjunction with the characteristic response
curves. Based on their different characteristic response curves that
occurred on the three types of SnO2 nanoparticles, the
detected gases, and even some congeners, were well discriminated along
with a simple PCA recognition algorithm. Additionally, their quantitative
analysis was also achieved.
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