Detection and monitoring of microparticles under skin by optical coherence tomography as an approach to continuous glucose sensing Using Implanted Retroreflectors

Shang Wang, Tim Sherlock, Betsy Salazar, Narendran Sudheendran, Ravi Kiran Manapuram, Katerina Kourentzi, Paul Ruchhoeft, Richard C. Willson, Kirill V. Larin

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

We demonstrate the feasibility of using optical coherence tomography (OCT) to image and detect 2.8 \mu{\rm m} diameter microparticles (stationary and moving) on a highly-reflective gold surface both in clear media and under skin in vitro. The OCT intensity signal can clearly report the microparticle count, and the OCT response to the number of microparticles shows a good linearity. The detect ability of the intensity change (2.9\%\pm 0.5\%) caused by an individual microparticle shows the high sensitivity of monitoring multiple particles using OCT. An optical sensing method based on this feasibility study is described for continuously measuring blood sugar levels in the subcutaneous tissue, and a molecular recognition unit is designed using competitive binding to modulate the number of bound microparticles as a function of glucose concentration. With further development, an ultra-small, implantable sensor might provide high specificity and sensitivity for long-term continuous monitoring of blood glucose concentration.

Original languageEnglish
Article number6544228
Pages (from-to)4534-4541
Number of pages8
JournalIEEE Sensors Journal
Volume13
Issue number11
DOIs
StatePublished - 2013

Keywords

  • Biomedical monitoring
  • magnetic microparticles
  • optical coherence tomography
  • retroreflection
  • skin

Fingerprint

Dive into the research topics of 'Detection and monitoring of microparticles under skin by optical coherence tomography as an approach to continuous glucose sensing Using Implanted Retroreflectors'. Together they form a unique fingerprint.

Cite this