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Reference type: Journal
Authors: Chai R, Wang YY, Kan XW
Article Title: Sensitive and selective detection of glycoprotein based on dual-signal and dual-recognition electrochemical sensing platform.
Publication date: 2021
Journal: Food Chemistry
Volume: 340
Article Number: 127944.
DOI: 10.1016/j.foodchem.2020.127944
Alternative URL: https://www.sciencedirect.com/science/article/pii/S0308814620318069

Abstract: Glycoproteins play extraordinary roles in biology and clinic. The specifically sensitive detection of glycoproteins by electrochemical methods is still a challenging task due to their poor electro-activity and sensitive nature to environment. In this work, ovalbumin (OVA), a model glycoprotein, was sensitively detected by a molecularly imprinted polymer (MIP) based electrochemical sensor, which was prepared by electropolymerizing 3-thiophene boric acid in the presence of OVA. Due to boronate affinity, the rebound OVA interacted with ferrocene boric acid (Fc-BA) to construct a sandwich structural sensing platform. Dual-recognition elements, imprinted effect and the boronate affinity, enabled the sensor to recognize OVA from other proteins. The rebinding of OVA caused the current changes of thionine and Fc-BA, which were combined as a dual-signal for OVA sensitive detection with a low limit of detection of 0.82 pg/mL (S/N = 3). The good performances of sensor indicated its potential applications in clinical diagnosis and other related fields
Template and target information: protein, glycoprotein, ovalbumin, OVA
Author keywords: glycoprotein, Electrochemical sensor, boronate affinity, molecularly imprinted polymer, Dual-signal, Dual-recognition


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