Bio-hybrid approaches have recently provided a possible solution to address the challenge of on-board actuation, control and communication modules for micro/nanoscale cargo-carrying vehicles by integrating live prokaryotic or eukaryotic cells with synthetic objects. More specifically, because micro/nanoparticles are able to transport cargos efficiently and bacteria can play the role of targeted and selective delivery agents, a hybrid of these two can advance the current strategies for environmental monitoring, drug delivery and medical imaging. The main goal of this dissertation was to fabricate, assemble, and characterize different components of a mobile network of bacteria-based bio-hybrid systems for long-term applications in drug delivery and biosensing. First, a new library of bacteria-enabled delivery systems was developed by coupling live engineered bacteria with non-spherical particles and the transport of these bacteria-based systems was investigated in the absence and presence of chemical cues using microfluidic platforms. Next, a quorum-sensing (QS) based bacterial cell-cell communication network was characterized in a high-throughput manner in order to understand the coordinated behavior of the bacterial species ferrying the cargoes. Lastly, the QS behavior of a chemotactic population of the bacterial species in response to the endogenously produced signaling molecules was studied. The work presented in this dissertation lays the foundation for a well-characterized generation of bacteria-assisted cargo delivery devices with enhanced transport properties and capable of executing pre-programmed multi-agent coordinated tasks upon their arrival at the target site. / Ph. D.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/64995 |
| Date | 09 October 2014 |
| Creators | Sahari, Ali Akbar |
| Contributors | Biomedical Engineering, Behkam, Bahareh, Davalos, Rafael V., Stevens, Ann M., Scharf, Birgit E., Bickford, Lissett R. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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