An enzyme-based reversible Controlled NOT (CNOT) logic gate operating on a semiconductor transducer

  • An enzyme-based biocatalytic system mimicking operation of a logically reversible Controlled NOT (CNOT) gate has been interfaced with semiconductor electronic transducers. Electrolyte–insulator–semiconductor (EIS) structures have been used to transduce chemical changes produced by the enzyme system to an electronically readable capacitive output signal using field-effect features of the EIS device. Two enzymes, urease and esterase, were immobilized on the insulating interface of EIS structure producing local pH changes performing XOR logic operation controlled by various combinations of the input signals represented by urea and ethyl butyrate. Another EIS transducer was functionalized with esterase only, thus performing Identity (ID) logic operation for the ethyl butyrate input. Both semiconductor devices assembled in parallel operated as a logically reversible CNOT gate. The present system, despite its simplicity, demonstrated for the first time logically reversible function of the enzyme system transduced electronically with the semiconductor devices. The biomolecular realization of a CNOT gate interfaced with semiconductors is promising for integration into complex biomolecular networks and future biosensor/biomedical applications.

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Metadaten
Author:Elham Honarvarfard, Maria Gamella, Arshak PoghossianORCiD, Michael Josef SchöningORCiD, Evgeny Katz
DOI:https://doi.org/10.1016/j.apmt.2017.08.003
ISSN:2352-9407
Parent Title (English):Applied Materials Today
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Completion:2017
Tag:CNOT; Capacitive field-effect; Electrolyte–insulator–semiconductor; Enzyme logic gate; XOR
Volume:9
First Page:266
Last Page:270
Link:https://doi.org/10.1016/j.apmt.2017.08.003
Zugriffsart:campus
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
FH Aachen / INB - Institut für Nano- und Biotechnologien
collections:Verlag / Elsevier