pH Modeling to Predict SWCNT–COOH Gas Sensor Response to Multiple Target Gases

Carboxylated single-walled carbon
nanotubes (SWCNT–COOH)
have long been studied for gas/vapor sensing. Controlling the pH during
the carboxylation process by adding an acid or a base yields inks
with different pH values, enabling an array of sensors that can give
orthogonal responses to target gases and vapors. The gas detection
mechanism for these sensors under prevailing humidity is via protonation
or deprotonation of the carboxylate groups induced by pH changes.
Here, we have developed a computational model, as a design tool, to
control the pH and test various target acidic (CO2, H2S, HCl, and HF) and basic [NH3, CH3NH2, (CH3)2NH, and (CH3)3N] gases. The results confirm the utility of the model in
decision-making on sensor design as well as to develop multiple sensor
arrays for constructing an electronic nose with the aid of machine
learning, in advance of actual fabrication.