A dual-potential ratiometric electrochemiluminescence biosensor based on Au@CDs nanoflowers, Au@luminol nanoparticles and an enzyme-free DNA nanomachine for ultrasensitive p53 DNA detection

[Display omitted] A dual-potential ratiometric electrochemiluminescence biosensor based on Au@CDs nanoflowers, Au@luminol nanoparticles and an enzyme-free DNA nanomachine for ultrasensitive p53 DNA detection. •A dual-potential ratiometric ECL biosensor was fabricated based on Au@CDs and Au@luminol.•...

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Veröffentlicht in:Sensors and actuators. B, Chemical Chemical, 2021-01, Vol.327, p.128890, Article 128890
Hauptverfasser: Wang, Li, Liu, Pengfei, Liu, Zhijun, Cao, Haixia, Ye, Shuying, Zhao, Kairen, Liang, Guoxi, Zhu, Jun-Jie
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Sprache:eng
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Zusammenfassung:[Display omitted] A dual-potential ratiometric electrochemiluminescence biosensor based on Au@CDs nanoflowers, Au@luminol nanoparticles and an enzyme-free DNA nanomachine for ultrasensitive p53 DNA detection. •A dual-potential ratiometric ECL biosensor was fabricated based on Au@CDs and Au@luminol.•An enzyme-free DNA walker was employed.•Sensitive and accurate detection of p53 DNA were obtained. Herein, an amplified electrochemiluminescence (ECL) ratiometric biosensor for p53 DNA sequence assay was described based on gold@carbon dots nanoflowers (Au@CDs), gold@luminol nanoparticles (Au@luminol) as luminophors and an enzyme-free DNA walker for signal amplification. The ratiometric strategy endowed the sensor with a prominent accuracy. Taking advantage of DNA-walker signal amplification feature, a high sensitivity for target detection was achieved. Under the optimal conditions, the designed biosensor exhibited a lower limit of 0.34 fM and wide linear range from 1 fM to 10 pM for p53 DNA sequence detection. In particular, compared with traditional Ru(bpy)33+/Ru(bpy)32+ derivatives and semiconductor nanoparticles, Au@luminol and Au@CDs have the advantages of cost-effective, excellent biocompatibility, and easy labeling, which offered new opportunity for building ratiometric ECL biosensor platform.
ISSN:0925-4005
1873-3077
0925-4005
DOI:10.1016/j.snb.2020.128890