This title appears in the Scientific Report :
2009
Please use the identifier:
http://dx.doi.org/10.1021/jp808320s in citations.
Coupling of biocomputing systems with electronic chips: Electronic interface for transduction of biochemical information
Coupling of biocomputing systems with electronic chips: Electronic interface for transduction of biochemical information
Electronic transduction of biochemical signals processed by the enzyme-based OR-Reset/AND-Reset logic systems was achieved using field-effect Si chips. The developed enzyme logic systems produced pH changes as the result of biochemical reactions activated by different combinations of the chemical in...
Saved in:
Personal Name(s): | Krämer, M. |
---|---|
Pita, M. / Zhou, J. / Ornatska, M. / Poghossian, A. / Schöning, M. J. / Katz, E. | |
Contributing Institute: |
Institut für Bio- und Nanosysteme - Bioelektronik; IBN-2 JARA-FIT; JARA-FIT |
Published in: |
The @journal of physical chemistry |
Imprint: |
Washington, DC
Soc.
2009
|
Physical Description: |
2573 - 2579 |
DOI: |
10.1021/jp808320s |
Document Type: |
Journal Article |
Research Program: |
Grundlagen für zukünftige Informationstechnologien |
Series Title: |
Journal of Physical Chemistry C
113 |
Subject (ZB): | |
Publikationsportal JuSER |
Electronic transduction of biochemical signals processed by the enzyme-based OR-Reset/AND-Reset logic systems was achieved using field-effect Si chips. The developed enzyme logic systems produced pH changes as the result of biochemical reactions activated by different combinations of the chemical input signals. Signal transduction was performed by pH-responding gold nanoparticles associated with the chip interface. The transformation of the nanoparticle shells between the dissociated (negatively charged) and protonated (neutral) states was determined using capacitance-voltage or impedance spectroscopy measurements, resulting in an electronic signal that reflects the state of the system corresponding to the logic output produced by the enzymes. The developed systems are the first examples of enzyme-based biocomputing systems interfaced with ordinary Si-based electronics. |