A DNA rolling motor for photoelectrochemical biosensing of oral cancer overexpressed 1

•Without further treatment, graphene oxide and hemin served as photoelectric material.•A biosensor has been developed depending on DNA rolling motor.•Ag NCs were prepared by means of in-situ electrochemical reduction. Herein, a photoelectrochemical (PEC) biosensor has been constructed depending on D...

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Bibliographic Details
Published in:Sensors and actuators. B, Chemical Chemical, 2020-04, Vol.309, p.127824, Article 127824
Main Authors: Mo, Fangjing, Chen, Min, Meng, Hui, Wu, Jingling, Fu, Yingzi
Format: Article
Language:English
Subjects:
Amplification
Biosensors
Cancer
Deoxyribonucleic acid
DNA
DNA rolling motor
DNA-templated silver nanoclusters
Graphene
Morphology
Nanoclusters
Nanomaterials
Oral cancer
Oral cancer overexpressed 1
Photoelectricity
Photoelectrochemistry
Selectivity
Silver
Stability analysis
Synergistic effect
Target detection
Target-triggered catalytic hairpin assembly
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Summary:•Without further treatment, graphene oxide and hemin served as photoelectric material.•A biosensor has been developed depending on DNA rolling motor.•Ag NCs were prepared by means of in-situ electrochemical reduction. Herein, a photoelectrochemical (PEC) biosensor has been constructed depending on DNA rolling motor and the synergistic effect among graphene oxide (GO), hemin and DNA-templated silver nanoclusters (DNA-Ag NCs) for oral cancer overexpressed 1 (ORAOV1) detection. Target-triggered catalytic hairpin assembly (CHA) cycling strategy has been adopted for signal amplification. Because of the excellent photoelectric behaviors, the compounds of graphene oxide and hemin (GO/hemin) have been used as photoelectric material. DNA-Ag NCs have been employed as signal amplification labels to enhance PEC responses. Scanning electron microscopy (SEM) was used to record the morphologies of nanomaterials. PEC and electrochemical analytical methods were employed to investigate the stepwise modification of the constructed biosensor. As a result, the proposed sensing platform has exhibited excellent analytical performance to ORAOV1 in a linear range from 1.0 × 10−15 to 1.0 × 10-10 mol·L-1 with the detection limit of 3.3 × 10-16 mol·L-1. It can achieve sensitive detection of ORAOV1 in saliva samples. The sensing system not only shows good selectivity and remarkable stability, but also provides a new method for the prevention, early assessment and post-treatment of diseases.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2020.127824