4.7 Article

A Self-Temperature-Modulated Quadrilateral Gas Sensor for Gas Identification

Journal

IEEE SENSORS JOURNAL
Volume 23, Issue 8, Pages 8017-8027

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3255210

Keywords

Sensors; Temperature sensors; Gas detectors; Sensor arrays; Heating systems; Temperature; Electrodes; Gas identification; gas sensor; microelectromechanical sensors (MEMS); temperature modulation

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This article proposes a SnO2-based low-power quadrilateral gas sensor that achieves different responses through self-temperature modulation using a single-layer electrode. The sensor integrates four detection channels located on the four edges with a quadrilateral microheater. By designing the width of the microheater metal line on the four edges, temperature modulation is achieved to obtain different responses to gases. The sensor shows potential for gas identification and efficient differentiation of food species.
This article proposes a SnO2-based low-power quadrilateral gas sensor, which can realize different responses by self-temperature modulation using a single-layer electrode. Four detection channels are located on four edges and are integrated with a quadrilateral microheater to constitute the completed sensor. Under the premise of ensuring good electrical insulation, the heater and the detection electrodes are designed in parallel on the same layer, eliminating the need for the isolation layer and subsequent dry etching steps to expose the pad. This scheme can greatly simplify the fabrication process and save manufacturing costs. On top of that, temperature modulation is realized by designing the gradational width of the microheater metal line on the four edges to achieve different responses to gases. Six types of food-related gases (trimethylamine, ethanol, hydrogen sulfide, ammonia, ethyl acetate, and formaldehyde) were tested, and the four channels of the sensor show different performances to these stimuli, which can be utilized for gas identification. Moreover, six food species were also tested, showing that the sensor can efficiently differentiate the fruit, vegetables, and meats.

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