An Optoelectrically Switched, Dual-Mode Neuromorphic Sensor for Transient and Accumulative Gas Detection

Jaewon Shin, Young Woo Jang, Seung Han Kang, Jeong Wan Jo, Jong Wook Shin, Yong Hoon Kim, Sung Kyu Park, Sung Woon Cho

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Conventional gas sensors typically focus on detecting transient gases with critical gas concentrations but lack the ability to detect hazards resulting from cumulative gas exposure. Here, the study demonstrates a dual-mode nitrogen dioxide (NO2) gas sensor utilizing carbon nanotube thin-film transistors, which features a transient detection mode for sensitive detection of transient gas inflow and accumulation detection mode for monitoring cumulative gas exposure, offering efficient and compact analysis of both immediate and prolonged NO2 exposure. The proposed sensor is capable of detecting NO2 gas through the charge trapping and detrapping mechanisms of gas molecules. The unique capability to switch between the transient detection and accumulation recognition modes is achieved via the controlled modulation of electrical bias and ultraviolet light. More importantly, the gate-bias adjustment facilitates precise sensitivity control by regulating the device's electrical properties, while the UV exposure promotes efficient desorption of attached gas molecules. These features may pave the way for the development of multifunctional gas sensors that can perform both real-time detection and long-term exposure monitoring of toxic gases in compact device architectures.

Original languageEnglish
Article number2504636
JournalAdvanced Functional Materials
Volume35
Issue number40
DOIs
StatePublished - 1 Oct 2025

Keywords

  • bias control
  • dual-mode control
  • nitrogen dioxide sensor
  • thin-film transistor
  • ultraviolet light

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