Issue 7, 2016

A self-assembly aptasensor based on thick-shell quantum dots for sensing of ochratoxin A

Abstract

A novel self-assembling aptasensor was fabricated by precisely attaching three phosphorothioate-modified capture aptamers onto a single thick-shell quantum dot in a controllable manner for monitoring of ochratoxin A (OTA), a poisonous contaminant widespread in foodstuffs. Herein, CdSe/CdS QDs coated in ten layer CdS shells were synthesized using a continual precursor injection method. Analysis of the prepared CdSe/CdS QDs showed a zinc-blende structure, high photoluminescence quantum yields (>80%), and a photoemission peak with a narrow full-width at half-maximum (about 29 nm), all qualities that render them as a superior choice for optical applications. By adjusting the number of phosphorothioate bases in the anchor domain, the tunable-valency aptasensor was able to self-assemble. In the sensing strategy, the thick-shell quantum dot was provided as an acceptor while OTA itself was used as a donor. In the presence of OTA, the capture aptamers drive the aptasensor function into a measurable signal through a fluorescence resonance energy transfer (FRET) system. The newly developed aptasensor had a detection limit as low as 0.5 ng mL−1, with a linear concentration in the range of 1 to 30 ng mL−1, and therefore meets the requirements for rapid, effective, and anti-interference sensors for real-world applications. Moreover, the high quality thick-shell QDs provide an ideal alternative for highly sensitive imaging and intensive illumination in the fields of biotechnology and bioengineering.

Graphical abstract: A self-assembly aptasensor based on thick-shell quantum dots for sensing of ochratoxin A

Supplementary files

Article information

Article type
Paper
Submitted
23 Nov 2015
Accepted
18 Jan 2016
First published
19 Jan 2016

Nanoscale, 2016,8, 4127-4133

Author version available

A self-assembly aptasensor based on thick-shell quantum dots for sensing of ochratoxin A

X. Chu, X. Dou, R. Liang, M. Li, W. Kong, X. Yang, J. Luo, M. Yang and M. Zhao, Nanoscale, 2016, 8, 4127 DOI: 10.1039/C5NR08284F

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