Oxide nanostructures for artificial olfaction

Suk Yeop Chun , Hyun Yeop Cho , Hyung Jin Shin , Chong-Yun Kang , Jung Ho Yoon

Microstructures ›› 2026, Vol. 6 ›› Issue (4) : 2026088

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Microstructures ›› 2026, Vol. 6 ›› Issue (4) :2026088 DOI: 10.20517/microstructures.2025.183
Review
Oxide nanostructures for artificial olfaction
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Abstract

Artificial olfaction, inspired by biological sensory systems, offers new opportunities in environmental, industrial, and healthcare applications. Semiconducting metal oxide based chemoresistive gas sensors provide a scalable and core interface for chemical detection and therefore constitute the most extensively explored front end for artificial olfactory systems. Nevertheless, conventional chemoresistive sensing that relies on surface charge transfer remains constrained by incomplete response and recovery, humidity interference, cross selectivity, and strong temperature dependence. This review surveys material- and device-level strategies developed to address these bottlenecks, with an emphasis on nanostructuring approaches that improve gas accessibility and reaction kinetics. Moving beyond device-level performance, the review further situates oxide-based gas sensing within a hierarchical neuromorphic olfactory framework. In biological systems, chemical information is represented by distributed activation patterns and temporal dynamics that extend beyond individual receptor responses. Within this broader context, emerging oxide-based transduction concepts that extend conventional chemoresistive operation are also discussed. Recent artificial olfactory system studies have begun to explore alternative oxide-based transduction mechanisms that extend beyond conventional chemoresistive operation. Among these emerging approaches, chemo-memristive responses based on vacancy-mediated ion redox processes are briefly discussed as one possible pathway toward more tightly coupled sensing and signal encoding at the device level. Such developments reflect ongoing efforts to more closely couple sensing and signal processing at the device level. By integrating insights from nanostructured oxide sensors and neuromorphic encoding principles, this review outlines conceptual pathways toward artificial olfactory systems that extend beyond standalone gas detection toward more integrated sensory information processing architectures.

Keywords

Gas sensor / oxide / chemoresistive / chemo-memristive / nanostructure / neuromorphic / olfactory system

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Suk Yeop Chun, Hyun Yeop Cho, Hyung Jin Shin, Chong-Yun Kang, Jung Ho Yoon. Oxide nanostructures for artificial olfaction. Microstructures, 2026, 6 (4) : 2026088 DOI:10.20517/microstructures.2025.183

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