Drift-tolerant artificial olfaction via spatiotemporal encoding of gas diffusion for VOC discrimination

Spatiotemporal encoding constructs drift-tolerant artificial-olfaction systems using a single sensing material. Here, we present a protocol for discriminating complex volatile organic compounds (VOCs) via this approach. We describe steps for hydrothermally synthesizing a porous CuP@G chemoresistive ink and laser-fabricating programmed micro-architectures. We then detail procedures for micro-cavity device assembly, spatiotemporal signal acquisition, and machine-learning interpretation. For complete details on the use and execution of this protocol, please refer to Zhai et al.¹.