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Synthesis and Calibration of Phosphorescent Nanoprobes for Oxygen Imaging in Biological Systems

Synthesis and Calibration of Phosphorescent Nanoprobes for Oxygen Imaging in Biological Systems

Published on: March 3, 2010

Porous phosphorescent coordination polymers for oxygen sensing.

Zhigang Xie¹, Liqing Ma, Kathryn E deKrafft

¹Department of Chemistry, CB#3290, University of North Carolina, Chapel Hill, North Carolina 27599, USA.

Journal of the American Chemical Society

|January 1, 2010

Summary

Highly porous coordination polymers containing iridium complexes show reversible phosphorescence quenching by oxygen. This porosity enables efficient sensing applications for various analytes.

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Area of Science:

Materials Science
Inorganic Chemistry
Photochemistry

Background:

Cyclometalated iridium complexes are known for their phosphorescent properties.
Coordination polymers offer tunable structures and functionalities.
Designing porous materials is crucial for sensing applications.

Purpose of the Study:

To synthesize and characterize novel phosphorescent coordination polymers.
To investigate the effect of porosity on luminescence quenching by oxygen.
To explore the potential of these materials for sensing applications.

Main Methods:

Solvothermal synthesis of coordination polymers.
Characterization using single-crystal X-ray diffraction, PXRD, TGA, IR spectroscopy, gas adsorption, and luminescence spectroscopy.
Evaluation of oxygen-induced luminescence quenching.

Main Results:

Three crystalline coordination polymers incorporating phosphorescent iridium complexes were synthesized.
One polymer exhibited high porosity (764 m(2)/g BET surface area), while others were nonporous.
The porous polymer demonstrated rapid and reversible luminescence quenching by oxygen due to efficient gas diffusion.

Conclusions:

The porosity of coordination polymers significantly impacts their luminescence response to oxygen.
Highly porous phosphorescent coordination polymers are promising for developing efficient oxygen sensors.
This approach can be extended to design sensors for other analytes.