3 years ago

Separation/Concentration-Signal-Amplification in-One Method Based on Electrochemical Conversion of Magnetic Nanoparticles for Electrochemical Biosensing

Separation/Concentration-Signal-Amplification in-One Method Based on Electrochemical Conversion of Magnetic Nanoparticles for Electrochemical Biosensing
Huang Dai, Yanbin Li, Yingchun Fu, Qi Zhang, Lulu Cao
We propose a separation/concentration-signal-amplification in-one method based on electrochemical conversion (ECC) of magnetic nanoparticles (MNPs) to develop a facile and sensitive electrochemical biosensor for chloramphenicol (CAP) detection. Briefly, aptamer-modified magnetic nanoparticles (MNPs-Apt) was designed to capture CAP in sample, then the MNPs-Apt composite was conjugated to Au electrode through the DNA hybridization between the unoccupied aptamer and a strand of complementary DNA. The ECC method was applied to transfer MNPs labels to electrochemically active Prussian blue (PB). The anodic and cathodic currents of PB were taken for signal readout. Comparing with conventional methods that require electrochemically active labels and related sophisticated labelling procedures, this method explored and integrated the magnetic and electrochemical properties of MNPs into one system, in turn realized magnetic capturing of CAP and signal generation without any additional conventional labels. Taking advantages of the high abundance of iron content in MNPs and the refreshing effect deriving from ECC process, the method significantly promoted the signal amplification. Therefore, the proposed biosensors exhibited linear detection range from 1 to 1000 ng mL−1 and a limit of detection down to 1 ng mL−1, which was better than or comparable with those of most analogues, as well as satisfactory specificity, storage stability and feasibility for real samples. The developed method may lead to new concept for rapid and facile biosensing in food safety, clinic diagnose/therapy and environmental monitoring fields.

Publisher URL: http://onlinelibrary.wiley.com/resolve/doi

DOI: 10.1002/elan.201700653

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