Issue 46, 2019

A signal-on photoelectrochemical biosensor for detecting cancer marker type IV collagenase by coupling enzyme cleavage with exciton energy transfer biosensing

Abstract

A signal-on photoelectrochemical (PEC) biosensing platform was developed here for the highly sensitive detection of a cancer marker type IV collagenase, which relied on the exciton energy transfer (EET) between CdTe quantum dots (QDs) and Ag nanoparticles (NPs) combined with the catalytic hydrolysis of a protease. A special sequence peptide chain with positively charged arginines at one end and a cysteine-labeled terminal at the other end, which could be modified with Ag NPs, was designed and synthesized. CdTe QDs and synthetic peptide were assembled onto the surface of indium–tin oxide (ITO) electrodes by means of a layer-by-layer self-assembly technology. The as-obtained modified electrodes generated a lower photocurrent under irradiation due to the effect of EET. The photocurrent intensity increased due to the addition of type IV collagenase, which could specifically hydrolytically cleave Gly–Pro–Ala, leading to Ag NPs being away from the electrode surface. Thus, a signal-on PEC biosensor could be obtained. Under optimum conditions, the PEC biosensor for type IV collagenase exhibited a linear range from 0.5 to 50 μg mL−1 and sensitivity of 96 ng mL−1. The peptide-QD-based PEC detection against type IV collagenase showed a promising potential for other protease or kinase detection when we changed the substrate of the peptide.

Graphical abstract: A signal-on photoelectrochemical biosensor for detecting cancer marker type IV collagenase by coupling enzyme cleavage with exciton energy transfer biosensing

Supplementary files

Article information

Article type
Paper
Submitted
27 Jul 2019
Accepted
17 Oct 2019
First published
08 Nov 2019

Anal. Methods, 2019,11, 5880-5885

A signal-on photoelectrochemical biosensor for detecting cancer marker type IV collagenase by coupling enzyme cleavage with exciton energy transfer biosensing

J. Chen, G. Zhao, Y. Wei and D. Feng, Anal. Methods, 2019, 11, 5880 DOI: 10.1039/C9AY01601E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements