Issue 44, 2021

Graphene oxide/perylene–aniline electrochemiluminescence platform for protein detection based on molecule recognition

Abstract

Most biosensors for folate receptor (FR) detection based on folic acid (FA) recognition usually contain FA-linked single-strand DNA (FA-ssDNA) and nuclease to promote sensitivity, which increases expenses and involves complicated assay processes. A few electrochemiluminescence (ECL) sensors that do not use FA-ssDNA and nuclease directly graft FA onto an ECL nanomaterial through covalent bonding for FR detection. In this study, we used FA-ssDNA to non-covalently graft FA onto π-conjugated ECL nanomaterial graphene oxide (GO)/perylene–aniline for fabricating ultrasensitive FR sensors without nuclease. 3,4,9,10-Perylenetetracarboxylic dianhydride (PTCDA) and aniline (An) self-assembled into π-conjugated nanorods, which were then loaded onto GO. This material was reported to produce 673 nm-dominated ECL with the co-reactant K2S2O8, and was used as an ECL platform. FA-modified Poly-dA-ssDNA (FA-Poly-dA-ssDNA) molecules, consisting of 20 bases, were attached to the surface of GO/PTCDA-An to capture FR. A significant decrease of ECL intensity was observed due to the steric hindrance of FR. The proposed sensors exhibited high detection sensitivity with a linear range from 1 fg mL−1 to 1 ng mL−1 and a detection limit of 0.636 fg mL−1. The sensors also showed good potential in real sample detection. Without introducing nuclease and complicated chemical reactions, this work provides a new sensing strategy for protein detection based on molecular recognition, which is extremely important in clinical diagnosis.

Graphical abstract: Graphene oxide/perylene–aniline electrochemiluminescence platform for protein detection based on molecule recognition

Supplementary files

Article information

Article type
Paper
Submitted
17 ستمبر 2021
Accepted
19 اکتوٗبر 2021
First published
19 اکتوٗبر 2021

Anal. Methods, 2021,13, 5293-5298

Graphene oxide/perylene–aniline electrochemiluminescence platform for protein detection based on molecule recognition

P. Yin, W. Zhang, L. Shang, R. Ma, L. Jia and H. Wang, Anal. Methods, 2021, 13, 5293 DOI: 10.1039/D1AY01588E

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