Selective Sensing of Gas Mixture via a Temperature Modulation Approach: New Strategy for Potentiometric Gas Sensor Obtaining Satisfactory Discriminating Features.

Sensors (Basel)

Gas Sensors & Sensing Technology Lab., Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.

Published: March 2017

AI Article Synopsis

  • This research proposes a new gas sensor strategy that can distinguish between four hazardous gases (NO₂, NH₃, C₃H₆, and CO) by adjusting the operating temperature and using a pattern recognition algorithm.
  • The sensor, made from a composite of 15 wt.% ZnO and In₂O₃, exhibits the best performance when fabricated at 900 °C, effectively detecting the target gases at concentrations between 50-400 ppm.
  • Using principal component analysis (PCA), the sensor shows promising capabilities in accurately differentiating gases, suggesting potential for efficient gas mixture detection with a single electrode sensor.

Article Abstract

A new strategy to discriminate four types of hazardous gases is proposed in this research. Through modulating the operating temperature and the processing response signal with a pattern recognition algorithm, a gas sensor consisting of a single sensing electrode, i.e., ZnO/In₂O₃ composite, is designed to differentiate NO₂, NH₃, C₃H₆, CO within the level of 50-400 ppm. Results indicate that with adding 15 wt.% ZnO to In₂O₃, the sensor fabricated at 900 °C shows optimal sensing characteristics in detecting all the studied gases. Moreover, with the aid of the principle component analysis (PCA) algorithm, the sensor operating in the temperature modulation mode demonstrates acceptable discrimination features. The satisfactory discrimination features disclose the future that it is possible to differentiate gas mixture efficiently through operating a single electrode sensor at temperature modulation mode.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375859PMC
http://dx.doi.org/10.3390/s17030573DOI Listing

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