Making unreliable Chem-FET sensors smart via soft calibration

Fatih Karabacak, Uwadiae Obahiagbon, Umit Ogras, Sule Ozev, Jennifer Blain Christen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biological and chemical sensor systems have many potentially transformative applications including health care, environmental monitoring, and biological or chemical threat detection. A major impediment in the widespread use of low-cost sensors, such as ChemFETs (Chemically sensitive Field-Effect Transistors), is the degradation in accuracy due to drift which occurs immediately after deployment. This paper presents a fully automated soft-calibration technique that extends the lifetime of sensors by compensating drift. The proposed methodology is applied to pH sensors, which can be manufactured for less than 10 cents. Experimental results show we can achieve very accurate results even if the sensor output has drifted by more than 600%. The proposed technique has been shown to extend the usable time of the ISFET sensor from mere minutes to 8 hours.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th International Symposium on Quality Electronic Design, ISQED 2016
PublisherIEEE Computer Society
Pages456-461
Number of pages6
Volume2016-May
ISBN (Electronic)9781509012138
DOIs
StatePublished - May 25 2016
Event17th International Symposium on Quality Electronic Design, ISQED 2016 - Santa Clara, United States
Duration: Mar 15 2016Mar 16 2016

Other

Other17th International Symposium on Quality Electronic Design, ISQED 2016
CountryUnited States
CitySanta Clara
Period3/15/163/16/16

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Karabacak, F., Obahiagbon, U., Ogras, U., Ozev, S., & Blain Christen, J. (2016). Making unreliable Chem-FET sensors smart via soft calibration. In Proceedings of the 17th International Symposium on Quality Electronic Design, ISQED 2016 (Vol. 2016-May, pp. 456-461). [7479243] IEEE Computer Society. https://doi.org/10.1109/ISQED.2016.7479243