An optical fiber-based LSPR aptasensor for simple and rapid in-situ detection of ochratoxin A

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Title
An optical fiber-based LSPR aptasensor for simple and rapid in-situ detection of ochratoxin A
Author(s)
B Lee; J H Park; Ju Young Byun; J H Kim; M G Kim
Bibliographic Citation
Biosensors & Bioelectronics, vol. 102, pp. 504-509
Publication Year
2018
Abstract
Label-free biosensing methods that rely on the use of localized surface plasmon resonance (LSPR) have attracted great attention as a result of their simplicity, high sensitivity, and relatively low cost. However, in-situ analysis of real samples using these techniques has remained challenging because colloidal nanoparticles (NPs) can be unstable at certain levels of pH and salt concentration. Even in the case of a chip-type LSPR sensor that can resolve the instability problem by employing NPs immobilized on the substrate, loading of a sample to sensor chip with exact volume control can be difficult for unskilled users. Herein, we report an optical-fiber-based LSPR aptasensor that can avoid these problems and serve as a portable and simple system for sensitive detection of a small mycotoxin, ochratoxin A (OTA), in real samples. The optical fiber coated with aptamer-modified gold nanorods (GNRs) is simply dipped into a solution containing OTA and subjected to LSPR analysis. Quantitative analysis of OTA is performed by measuring the spectral red shift of the LSPR peak of GNRs. Under optimized conditions, the LSPR peak shift displays a linear response (R2 = 0.9887) to OTA in the concentration range from 10 pM to 100 nM, with a limit of detection of 12.0 pM (3 S). The developed sensor shows a high selectivity for OTA over other mycotoxins such as zearalenone (ZEN) and ochratoxin B (OTB), and shows an accurate detection capability for OTA in real grape juice samples.
Keyword
Aptamerin situLocalized surface plasmon resonance (LSPR)Ochratoxin A (OTA)Optical fiberSensing
ISSN
0956-5663
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/j.bios.2017.11.062
Type
Article
Appears in Collections:
Critical Diseases Diagnostics Convergence Research Center > 1. Journal Articles
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