
Novel Gas Sensor Signal Acquisition Method: Amplifying Sensor Signals and Enabling Efficient Gas Identification
Author(s) -
Choi Kangwook,
Koo RyunHan,
Park Jinwoo,
Kim Donghee,
Kim Jaehyeon,
Shin Hunhee,
Jung Gyuweon,
Lee JongHo
Publication year - 2025
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202415104
Subject(s) - resistive touchscreen , sensitivity (control systems) , signal (programming language) , gas phase , detection limit , oxidizing agent , identification (biology) , phase (matter) , computer science , materials science , analytical chemistry (journal) , chemistry , electronic engineering , chromatography , engineering , botany , biology , programming language , organic chemistry , computer vision
Abstract Enhancing sensor sensitivity and gas identification capabilities is essential for the broad application of gas sensors. Developing efficient transducing methods for sensors can be applied to a wide range of sensors. However, developing such methods for resistive sensors remains challenging. In this study, an operating method that enhances both sensitivity and gas identification capability in resistive gas sensors is presented. The sensor operation is divided into two phases: the reaction phase and the signal detection phase, and propose optimized operating methods for each. In the reaction phase, the chemisorption of oxidizing and reducing gases are maximized through appropriate operating methods for each. In the signal detection phase, a read‐bias technique is introduced, enhancing sensitivity across all gases, with a 23‐fold increase for 500 ppb NO 2 and a sixfold increase for 50 ppm H 2 S. Additionally, the limit of detection (LOD) can be improved, with the NO 2 LOD reduced from 11.8 to 1.4 ppb. Furthermore, a method for obtaining gas‐specific signal patterns is presented that reflect the unique diffusion properties of each gas by simply adjusting the signal readout conditions. This approach demonstrates the accurate identification of four different gases using only a single sensor.
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