Continuous measurement of blood oxygen pressure using a fiber optic sensor based on phosphorescence quenching

Kentaro Hase, Shuhei Sakai, Kosuke Tsukada, Eiichi Sekizuka, Chikara Oshio, Haruyuki Minamitani

Research output: Contribution to journalConference articlepeer-review

Abstract

Measuring oxygen pressure within an artery is essential for providing information on blood perfusion. Optic-sensor is particularly well suited for oxygen pressure measurement because electrolytic or magnetic changes of the environment do not affect the measurement. We developed a fiber optical sensor based on phosphorescence quenching method. The probe, Pd-meso-tetra(4-carboxyphenyl)porphyrin, was immobilized to the silicone resin membrane, which has high oxygen permeability, and attached to the tip of POF (outer diameter: 500μm). The light source used for exciting the probe was a Nd:YAG-SH pulse laser (532nm) and the phosphorescent emission was detected by a photomultiplier tube. The signal was fitted to a single exponential decay curve to acquire the time constant (life time), thereafter the oxygen pressure was calculated from Stern-Volmer relationship. Effectiveness of the sensor was obtained to measure the dissolved oxygen with high precision (correlation coefficient 0.999) and high response time (about 7sec). In this study, measurement of oxygen pressure was also made in femoral artery of rat by using the developed sensor and it indicated that it was very useful to measure arterial oxygen pressure continuously.

Original languageEnglish
Pages (from-to)1777-1778
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
Publication statusPublished - 2002 Dec 1
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: 2002 Oct 232002 Oct 26

Keywords

  • Fiber-optical sensor
  • Oxygen
  • Phosphorescence

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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