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Biosensors based on DNA logic gates

Authors: Fangfei Yin; Fei Wang; Chunhai Fan; Xiaolei Zuo; Qian Li;

Biosensors based on DNA logic gates

Abstract

AbstractAbstractBiosensor is a device that responds to a particular target in a selective way by incorporation of biological recognition as sensing unit. For practical biomedical applications, a digital output (a qualitative YES/NO answer) is highly demanded for certain end‐user or point‐of‐care applications. Boolean logic, which can be applied to any type of information expressed as 0 (NO) and 1 (YES), is widely employed to achieve such qualitative analysis. Over the past decade, owing to DNA's advantages of stability, accessibility, and manipulability, significant research efforts have been focused on the design and application of DNA logic gates (DLG)‐based biosensors capable of implementing logic‐gated biomedical functions. This review summarizes the existed representative examples and the advanced developments of DLG biosensors, and discusses the limitations and the future directions on the development of novel nanosensors based on DNA logic operations for realizing highly efficient diagnosis.

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Keywords

nucleic acids, Medical technology, R855-855.5, biosensor, DNA logic gates, TP248.13-248.65, Boolean logic, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
gold