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Sensors 2016, 16(7), 1042; doi:10.3390/s16071042

Design of Flow Systems for Improved Networking and Reduced Noise in Biomolecular Signal Processing in Biocomputing and Biosensing Applications

1
Department of Physics, Clarkson University, Potsdam, NY 13699, USA
2
Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Alexander Star
Received: 26 April 2016 / Revised: 21 June 2016 / Accepted: 24 June 2016 / Published: 5 July 2016
(This article belongs to the Section Biosensors)
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Abstract

We consider flow systems that have been utilized for small-scale biomolecular computing and digital signal processing in binary-operating biosensors. Signal measurement is optimized by designing a flow-reversal cuvette and analyzing the experimental data to theoretically extract the pulse shape, as well as reveal the level of noise it possesses. Noise reduction is then carried out numerically. We conclude that this can be accomplished physically via the addition of properly designed well-mixing flow-reversal cell(s) as an integral part of the flow system. This approach should enable improved networking capabilities and potentially not only digital but analog signal-processing in such systems. Possible applications in complex biocomputing networks and various sense-and-act systems are discussed. View Full-Text
Keywords: biosensor; flow system; biomolecular computing; noise reduction; signal processing biosensor; flow system; biomolecular computing; noise reduction; signal processing
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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. (CC BY 4.0).

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MDPI and ACS Style

Verma, A.; Fratto, B.E.; Privman, V.; Katz, E. Design of Flow Systems for Improved Networking and Reduced Noise in Biomolecular Signal Processing in Biocomputing and Biosensing Applications. Sensors 2016, 16, 1042.

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