Issue 12, 2017

An ultrasensitive multi-walled carbon nanotube–platinum–luminol nanocomposite-based electrochemiluminescence immunosensor

Abstract

An ultrasensitive electrochemiluminescence (ECL) immunosensor for carbohydrate antigen 19-9 (CA19-9) detection using multi-walled carbon nanotube–platinum–luminol nanocomposites (MWCNT–Pt–luminol) as nanointerface and signal tags was designed. First, the MWCNT–Pt–luminol nanocomposite was decorated on the surface of a glassy carbon electrode (GCE) through the film-forming properties of chitosan (Chi). Then, the CA19-9 antibody (anti-CA19-9) was attached to the modified electrode surface via crosslinking with glutaraldehyde (GA). When CA19-9 was captured by its antibody immobilized on the immune platform via immunoreaction, the ECL signal intensity decreased. Under optimal conditions, the proposed ECL immunosensor showed excellent performance for CA19-9 ranging from 0.0001 U mL−1 to 10.0 U mL−1, with a detection limit of 0.000046 U mL−1 (S/N = 3) and a correlation coefficient of R = 0.9980. This is attributed to the fact that the MWCNTs–Pt nanomaterial has excellent conductivity and it could facilitate the decomposition of H2O2 to generate various reactive oxygen species (ROSs); thus, the ECL signals of luminol were effectively amplified and the sensitivity of the sensor was greatly increased. The prepared ECL immunosensor displayed simple, fast analysis, excellent stability, good reproducibility, and high specificity. Moreover, the developed ECL immunosensor provided satisfactory results in the determination of CA19-9 in real human serum samples.

Graphical abstract: An ultrasensitive multi-walled carbon nanotube–platinum–luminol nanocomposite-based electrochemiluminescence immunosensor

Article information

Article type
Paper
Submitted
09 מרץ 2017
Accepted
02 מאי 2017
First published
25 מאי 2017

Analyst, 2017,142, 2253-2260

An ultrasensitive multi-walled carbon nanotube–platinum–luminol nanocomposite-based electrochemiluminescence immunosensor

X. Zhang, H. Ke, Z. Wang, W. Guo, A. Zhang, C. Huang and N. Jia, Analyst, 2017, 142, 2253 DOI: 10.1039/C7AN00417F

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