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Nanoscale upconversion for oxygen sensing.

Kayla Presley1, Jinwoo Hwang1, Soshan Cheong2

  • 1Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.

Materials Science & Engineering. C, Materials for Biological Applications
|October 25, 2016
PubMed
Summary

This study introduces a novel optical oxygen sensor using near-infrared light and upconverting nanoparticles within electrospun fibers. This method overcomes limitations of traditional sensors for enhanced biological applications and diagnostics.

Keywords:
ElectrospinningIn vivo oxygen sensingPolycaprolactonePolysulfoneUpconversionUpconverting nanoparticles

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Nanotechnology

Background:

  • Traditional optical oxygen sensors utilize violet/blue light, which is problematic in biological tissues due to scattering and absorption.
  • Upconverting nanoparticles (UCNPs) offer an alternative excitation pathway, but their integration into biosensing platforms requires further development.

Purpose of the Study:

  • To develop a novel optical oxygen sensing system using near-infrared light excitation of UCNPs embedded in electrospun fibers.
  • To investigate the energy transfer mechanism ('handshake' interaction) between UCNPs and an oxygen-sensitive dye within a fiber matrix.
  • To explore the potential of this fiber-based sensor for theranostic applications in disease diagnosis and treatment monitoring.

Main Methods:

  • Fabrication of electrospun core-shell fibers incorporating ceramic upconverting nanoparticles (UCNPs).
  • Integration of a molecular optical oxygen sensor whose phosphorescence is quenched by oxygen.
  • Excitation of UCNPs with 980nm near-infrared light, triggering energy transfer to the oxygen sensor.
  • Characterization of oxygen sensing capabilities and calibration using the Stern-Volmer relationship.

Main Results:

  • Demonstrated successful gaseous oxygen sensing using the near-infrared light-activated UCNP-fiber system.
  • Observed a linear Stern-Volmer response, indicating high accuracy for oxygen quantification.
  • Investigated fiber configurations to optimize the efficiency of the energy transfer process.

Conclusions:

  • The developed fiber-based optical oxygen sensor overcomes limitations of traditional methods by using near-infrared excitation.
  • The system shows significant promise for advanced biosensing, theranostics, disease imaging, and therapeutic response monitoring.
  • Further research into 'handshake' interactions within fiber-based carriers can unlock new opportunities in regenerative medicine and diagnostics.