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Get Free AccessAbstract Oxygen (O 2 )-sensing matrices are promising tools for the live monitoring of extracellular O 2 consumption levels in long-term cell cultures. In this study, ratiometric O 2 -sensing membranes were prepared by electrospinning, an easy, low-cost, scalable, and robust method for fabricating nanofibers. Poly(ε-caprolactone) and poly(dimethyl)siloxane polymers were blended with tris(4,7-diphenyl-1,10-phenanthroline) ruthenium(II) dichloride, which was used as the O 2 -sensing probe, and rhodamine B isothiocyanate, which was used as the reference dye. The functionalized scaffolds were morphologically characterized by scanning electron microscopy, and their physicochemical profiles were obtained by Fourier transform infrared spectroscopy, thermogravimetric analysis, and water contact angle measurement. The sensing capabilities were investigated by confocal laser scanning microscopy, performing photobleaching, reversibility, and calibration curve studies toward different dissolved O 2 (DO) concentrations. Electrospun sensing nanofibers showed a high response to changes in DO concentrations in the physiological-pathological range from 0.5% to 20% and good stability under ratiometric imaging. In addition, the sensing systems were highly biocompatible for cell growth promoting adhesiveness and growth of three cancer cell lines, namely metastatic melanoma cell line SK-MEL2, breast cancer cell line MCF-7, and pancreatic ductal adenocarcinoma cell line Panc-1, thus recreating a suitable biological environment in vitro . These O 2 -sensing biomaterials can potentially measure alterations in cell metabolism caused by changes in ambient O 2 content during drug testing/validation and tissue regeneration processes. Graphic abstract
Giuliana Grasso, Valentina Onesto, Stefania Forciniti, Eliana D’Amone, Francesco Colella, Lara Pierantoni, Valeria Famà, Giuseppe Gigli, Rui L Reis, Joaquím M. Oliveira, Loretta L. del Mercato (2024). Highly sensitive ratiometric fluorescent fiber matrices for oxygen sensing with micrometer spatial resolution. , 7(3), DOI: https://doi.org/10.1007/s42242-024-00277-3.
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Type
Article
Year
2024
Authors
11
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1007/s42242-024-00277-3
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