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Single Osteoblast Chemical Sensor via Non-invasive Bio-Electronic Interface

Published online by Cambridge University Press:  01 February 2011

Mo Yang,
Xuan Zhang,
Bonnie Kohr,
Andre Morgan and
Cengiz S Ozkan
Mo Yang
Affiliation:
Mechanical Engineering Department, University of California, Riverside, CA 92521
Xuan Zhang
Affiliation:
Mechanical Engineering Department, University of California, Riverside, CA 92521
Bonnie Kohr
Affiliation:
Mechanical Engineering Department, University of California, Riverside, CA 92521
Andre Morgan
Affiliation:
Mechanical Engineering Department, University of California, Riverside, CA 92521
Cengiz S Ozkan
Affiliation:
Mechanical Engineering Department, University of California, Riverside, CA 92521
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Abstract

The broad-spectrum sensitivity of cell based biosensors offers the capability for detecting known and unknown chemical/biological agents. One cellular parameter that is often measured is the extracellular potential of electrically active cells. Membrane excitability in osteoblasts plays a key role in modulating the electrical activity in the presence of chemical agents. However, the complexity of this signal makes interpretation of the cellular response to a chemical agent difficult to interpret. By analyzing shifts in the signal's power spectrum, it is possible to determine a frequency spectrum also known as Signature Pattern Vectors (SPV) specific to a chemical. We used a 5x5 multiple microelectrode array system to spatially position osteoblast cells, by using a gradient AC field. Fast Fourier Transformation (FFT) analyses were used to extract information pertaining to the frequency of firing from the extracellular potential.

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Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 782: Symposium A – Micro- and Nanosystems , 2003, A5.9
Copyright
Copyright © Materials Research Society 2004

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