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Fractional frequency domain identification of NaCl-glucose solutions at physiological levels
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. Vrije Universiteit Brussel.
2014 (English)In: Measurement, ISSN 0263-2241, Vol. 50, no 1, 213-221 p.Article in journal (Refereed) Published
Abstract [en]

Electrical impedance spectroscopy (EIS) has been used to characterize different biological materials. This article exposes a methodology oriented to estimate glucose levels of a solution based on a rational fractional parametric model of the impedance data. The methodology is applied over saline-glucose solutions at five physiological glucose levels, using three sensors and five repetitions for each glucose concentration and employed sensor. The results suggest that changes in the glucose concentration produce significant changes in the impedance that should be reflected in the parametric model. The modeling procedure shows that the poles and zeros of an integer model presents a degree of correlation. However, the correlation is clearly explicit employing fractional models where the mean location of the complex zeros is highly related to the glucose content in the sample. 

Place, publisher, year, edition, pages
2014. Vol. 50, no 1, 213-221 p.
Keyword [en]
Impedance spectroscopy, Odd random phase multisine, Glucose sensor, Best linear approximation, Parametric model, Nonparametric model, Fractional model, Rational model
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hig:diva-18371DOI: 10.1016/j.measurement.2013.12.041ISI: 000333059200027Scopus ID: 2-s2.0-84893031464OAI: oai:DiVA.org:hig-18371DiVA: diva2:769991
Available from: 2014-12-09 Created: 2014-12-09 Last updated: 2014-12-09Bibliographically approved

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Citation style
  • apa
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  • ieee
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Language
  • sv-SE
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  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf