Microscale Sensing of Oxygen via Encapsulated Porphyrin Nanofibers: Effect of Indicator and Polymer “Core” Permeability

Abstract

Biomimetic polymer nanofibers integrate sensing capabilities creating utility across many biological and biomedical applications. We created fibers consisting of either a poly­(ether sulfone) (PES) or a polysulfone (PSU) core coated by a biocompatible polycaprolactone (PCL) shell to facilitate cell attachment. Oxygen sensitive luminescent probes Pt­(II) <i>meso</i>-tetra­(pentafluorophenyl)­porphine (PtTFPP) or Pd­(II) <i>meso</i>-tetra­(pentafluorophenyl)­porphine (PdTFPP), were incorporated in the core via single-step coaxial electrospinning providing superior sensitivity, high brightness, linear response, and excellent stability. Both PES–PCL and PSU–PCL fibers provide more uniform probe distribution than polydimethylsiloxane (PDMS). PSU-based sensing fibers possessed optimum sensitivity due to their relatively higher oxygen permeability. During exposure to 100% nitrogen and 100% oxygen, PES–PCL fiber displayed an <i>I</i><sub>0</sub>/<i>I</i><sub>100</sub> value of 6.7; PSU–PCL exhibited a value of 8.9 with PtTFPP as the indicator. In contrast, PdTFPP-containing fibers possess higher sensitivity due to the long porphyrin lifetime. The corresponding <i>I</i><sub>0</sub>/<i>I</i><sub>100</sub> values were 80.6 and 106.7 for the PES–PCL and PSU–PCL matrices, respectively. The response and recovery times were 0.24/0.39 s for PES–PCL and 0.38/0.83 s for PSU–PCL which are 0.12 and 0.11 s faster, respectively, than the Pt-based porphyrin in the same matrices. Paradoxically, lower oxygen permeabilities make these polymers better suited to measuring higher (i. e., ∼20%) oxygen contents than PDMS. Individual fiber sensing was studied by fluorescence spectrometry and at a sub-micrometer scale by total internal reflection fluorescence (TIRF). Specific polymer blends relate polymer composition to the resulting sensor properties. All compositions displayed linear Stern–Volmer plots; sensitivity could be tailored by matrix or the sensing probe selection

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