Aptamer-based colorimetric biosensing of abrin using catalytic gold nanoparticles (original) (raw)
* Corresponding authors
a State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, PR China
b University of Chinese Academy of Sciences, Beijing, PR China
E-mail: zli@ciac.jl.cn
Fax: +86 431 85262057
Tel: +86 431 85262057
Abstract
In this study we propose a simple and sensitive colorimetric aptasensor for the quantitative analysis of abrin by using catalytic AuNPs for the first time. AuNPs possess the peroxidase-like activity that can catalyse 3,3,5,5-tetramethylbenzidine (TMB) in the presence of H2O2, leading to color change of the solution. It is interesting to find that the peroxidase-like activity of AuNPs can be improved by surface activation with a target-specific aptamer. However, with a target molecule, the aptamer is desorbed from the AuNPs surface, resulting in a decrease of the catalytic abilities of AuNPs. The color change of the solution is relevant to the target concentration, and this can be judged by the naked eye and monitored by using a UV-vis spectrometer. The linear range for the current analytical system was from 0.2 nM to 17.5 nM. The corresponding limit of detection (LOD) was 0.05 nM. Some other proteins such as thrombin (Th), glucose oxidase (GOx), and bovine serum albumin (BSA) all had a negligible effect on the determination of abrin. Furthermore, several practical samples spiked with abrin were analyzed using the proposed method with excellent recoveries. This aptamer-based colorimetric biosensor is superior to other conventional methods owing to its simplicity, low cost, and high sensitivity.
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Supplementary files
Article information
DOI
https://doi.org/10.1039/C5AN00107B
Article type
Paper
Submitted
18 Jan 2015
Accepted
19 Mar 2015
First published
20 Mar 2015
Download Citation
Analyst, 2015,140, 3581-3586
Author version available
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Aptamer-based colorimetric biosensing of abrin using catalytic gold nanoparticles
J. Hu, P. Ni, H. Dai, Y. Sun, Y. Wang, S. Jiang and Z. Li,Analyst, 2015, 140, 3581DOI: 10.1039/C5AN00107B
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