Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80934
Title: Novel Sensor-Enabled Ex Vivo Bioreactor: A New Approach towards Physiological Parameters and Porcine Artery Viability
Authors: Mundargi, Raghavendra
Venkataraman, Divya
Kumar, Saranya
Mogal, Vishal
Ortiz, Raphael
Steele, Terry W. J.
Loo, Joachim Say Chye
Venkatraman, Subbu S.
Issue Date: 2015
Source: Mundargi, R., Venkataraman, D., Kumar, S., Mogal, V., Ortiz, R., Loo, J. S. C., et al (2015). Novel Sensor-Enabled Ex Vivo Bioreactor: A New Approach towards Physiological Parameters and Porcine Artery Viability. BioMed Research International, 2015, 958170-.
Series/Report no.: BioMed Research International
Abstract: The aim of the present work is to design and construct an ex vivo bioreactor system to assess the real time viability of vascular tissue. Porcine carotid artery as a model tissue was used in the ex vivo bioreactor setup to monitor its viability under physiological conditions such as oxygen, pressure, temperature, and flow. The real time tissue viability was evaluated by monitoring tissue metabolism through a fluorescent indicator “resorufin.” Our ex vivo bioreactor allows real time monitoring of tissue responses along with physiological conditions. These ex vivo parameters were vital in determining the tissue viability in sensor-enabled bioreactor and our initial investigations suggest that, porcine tissue viability is considerably affected by high shear forces and low oxygen levels. Histological evaluations with hematoxylin and eosin and Masson’s trichrome staining show intact endothelium with fresh porcine tissue whereas tissues after incubation in ex vivo bioreactor studies indicate denuded endothelium supporting the viability results from real time measurements. Hence, this novel viability sensor-enabled ex vivo bioreactor acts as model to mimic in vivo system and record vascular responses to biopharmaceutical molecules and biomedical devices.
URI: https://hdl.handle.net/10356/80934
http://hdl.handle.net/10220/38991
ISSN: 2314-6133
DOI: 10.1155/2015/958170
Rights: © 2015 Raghavendra Mundargi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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