A biorecognition system for concanavalin a using a glassy carbon electrode modified with silver nanoparticles, dextran and glucose oxidase
Concanavalin A (Con A) was chosen as a model lectin protein for an electrochemical study on the interaction between lectins and carbohydrates. A composite prepared from reduced graphene oxide and silver nanoparticles (rGO-AgNPs) acted as a redox probe, and phenoxy-derivatized dextran (DexP) and gluc...
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Published in: | Mikrochimica acta (1966) Vol. 182; no. 3-4; pp. 797 - 803 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Vienna
Springer Vienna
01-02-2015
Springer |
Subjects: | |
Online Access: | Get full text |
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Summary: | Concanavalin A (Con A) was chosen as a model lectin protein for an electrochemical study on the interaction between lectins and carbohydrates. A composite prepared from reduced graphene oxide and silver nanoparticles (rGO-AgNPs) acted as a redox probe, and phenoxy-derivatized dextran (DexP) and glucose oxidase (GOx) acted as recognition elements. The rGO-AgNPs, DexP and GOx were deposited on the surface of a glassy carbon electrode. The immobilized DexP and GOx showed high affinity for the target lectin Con A. The surface-modified biosensor was characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, UV–vis absorption spectra, cyclic voltammetry and electrochemical impedance spectroscopy. Due to the high affinity of Con A for both DexP and GOx, the biosensor displays a detection limit for Con A that is as low as 0.67 ng mL
−1
at a working voltage of 48 mV. The response is linear in the 2.0–322 ng mL
-1
concentration range, thus offering a sensitive means for the determination of Con A.
Graphical Abstract
This work presented a simple bio-recognition system with rGO-AgNPs as redox probes, DexP and GOx as bio-recognition elements for sensitive detection of Con A. The detection limit for Con A that is as low as 0.67 ng mL
−1
at a working voltage of 48 mV. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0026-3672 1436-5073 |
DOI: | 10.1007/s00604-014-1390-7 |