Development of a transcutaneous blood-constituent monitoring method using a suction effusion fluid collection technique and an ion-sensitive field-effect transistor glucose sensor

N. Ito, S. Kayashima, J. Kimura, T. Kuriyama, T. Arai, M. Kikuchi, N. Nagata

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The paper describes a method for the transcutaneous monitoring of blood constituents. It combines the use of a suction effusion fluid (SEF) collecting technique with a silicon on sapphire/ion-sensitive field-effect transistor (SOS/ISFET) biosensor. SEF is directly collected by a weak evacuation through skin from which the stratum corneum has been removed. An SEF collecting cell with a stainless-steel mesh at the bottom is kept in a weak vacuum condition, and SEF is sucked up through the mesh and deposited in a reservoir above. An ISFET glucose sensor is able to detect glucose concentrations in very small SEF samples through the use of two small ISFETs and an immobilised enzyme membrane. The reliability of transcutaneously obtained SEF was first confirmed in an experiment using rabbits. A clinical analyser was used to determine levels of glucose, urea nitrogen and creatinine in SEF obtained transcutaneously; these results are compared with results obtained by the same analyser directly from sera. The ISFET glucose sensor was successfully tested on human subjects for the monitoring of blood glucose levels. During these tests, glucose level changes in the SEF followed acutal blood glucose level changes with a slight time delay. Results suggest the feasibility of non-invasive, transcutaneous monitoring of low molecular weight substances in the blood without the use of ordinary blood sampling.

Original languageEnglish
Pages (from-to)242-246
Number of pages5
JournalMedical & Biological Engineering & Computing
Volume32
Issue number3
DOIs
Publication statusPublished - 1994 May 1

Keywords

  • 75g OGTTs
  • Biosensor
  • Glucose monitoring
  • ISFET
  • Interstital fluid

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

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