Performance Enhancement of Polymer Electrolyte MEIS Hydrogen Sensor by DC-Biasing

Karoliina Jokinen, Alexey Popov, Jyrki Lappalainen, Rafal Sliz, Tapio Fabritius, Krisztian Kordas, Risto Myllylä, Alexey Vasiliev

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

DC-biasing was applied as a method to enhance the performance of a capacitive type gas sensor with a polymer electrolyte layer. The sensor was constructed as a metal-electrolyte-insulator-semiconductor structure with a polymer electrolyte layer deposited on a Si-substrate with SiO2-dielectric layer and aluminum back electrode. The electrolyte was prepared from polyvinyl chloride polymer dissolved in water with adding H3PW12O40 to the mixture making it proton conductive. The device was finalized with a platinum top electrode. The sensor was shown to be sensitive to H2 with detection limit below 100-ppm concentrations in synthetic air at room temperature. The sensor was tested using ac voltages with 250-mV amplitude and frequency from 1 to 100 kHz. In addition, by dc biasing the device with voltages up to 2 V during the capacitive measurements, the response, and sensitivity of the sensor were increased by 70% and 50%, respectively, at the optimal measurement frequency (5 kHz).

Original languageEnglish
Pages (from-to)5292-5297
JournalIEEE Sensors Journal
Volume16
Issue number13
DOIs
Publication statusPublished - 1 Jul 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • biasing
  • capacitive sensor
  • gas sensor
  • MEIS sensor
  • polymer electrolyte
  • solid electrolyte

Fingerprint Dive into the research topics of 'Performance Enhancement of Polymer Electrolyte MEIS Hydrogen Sensor by DC-Biasing'. Together they form a unique fingerprint.

  • Cite this

    Jokinen, K., Popov, A., Lappalainen, J., Sliz, R., Fabritius, T., Kordas, K., Myllylä, R., & Vasiliev, A. (2016). Performance Enhancement of Polymer Electrolyte MEIS Hydrogen Sensor by DC-Biasing. IEEE Sensors Journal, 16(13), 5292-5297. https://doi.org/10.1109/JSEN.2016.2561318