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Advanced Electronic Materials
Article . 2020 . Peer-reviewed
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Construction of High Stable All‐Graphene‐Based FETs as Highly Sensitive Dual‐Signal miRNA Sensors by a Covalent Layer‐by‐Layer Assembling Method

Authors: Mingyuan Sun; Congcong Zhang; Jian Wang; Chenfang Sun; Yanchen Ji; Shanshan Cheng; Hong Liu;

Construction of High Stable All‐Graphene‐Based FETs as Highly Sensitive Dual‐Signal miRNA Sensors by a Covalent Layer‐by‐Layer Assembling Method

Abstract

AbstractThe abnormal expression of a microRNA (miRNA) is associated with many major diseases. Therefore, the stability, reliability, and sensitivity of miRNA detection are of paramount importance for early diagnosis and therapeutics. Field‐effect transistor (FET) devices, as sensors, have many advantages, including their multiparameter accessibility and ease of large‐scale manufacturing, but the electrical signals of most FETs are vulnerable in humid environments over extended periods of time, further limiting their sensing capability and performance. In this paper, sophisticated all‐graphene‐based field‐effect transistors (AG‐FETs) are designed and fabricated by means of the covalent layer‐by‐layer (LBL) assembly of graphene oxide (GO), with the electrical capability of FETs and the intrinsic properties of graphene being incorporated in a single device. Thanks to the covalent configuration and the fluorescence quenching properties of graphene, the AG‐FETs possess great electrical stability and outstanding solution resistibility and could detect miRNA sensitively, stably, and reliably through electrical and fluorescence dual signals, which mostly avoid false positives during the test process. This is done without the use of any amplification techniques and even in real samples. These dual‐signal biosensors with excellent performance have promising potential for application in early clinical diagnoses and biomedical research.

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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!
20
Top 10%
Average
Top 10%
gold