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A Sensitive Electrochemical Immunosensor Based on PAMAM Dendrimer-Encapsulated Au for Detection of Norfloxacin in Animal-Derived Foods

State Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, No. 29 The Thirteenth Road, Tianjin Economy and Technology Development Area, Tianjin 300457, China
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Sensors 2018, 18(6), 1946; https://doi.org/10.3390/s18061946
Received: 26 April 2018 / Revised: 11 June 2018 / Accepted: 11 June 2018 / Published: 15 June 2018
(This article belongs to the Section Biosensors)
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Abstract

In this work, a sensitive electrochemical immunosensor has been reported for the determination of norfloxacin in animal-derived foods. The poly (amidoamine) dendrimer encapsulated gold nanoparticles (PAMAM-Au) played dual roles in the proposed sensing platform which not only accelerated the electron transfer process of sensing, but also increased the efficiency of the immobilized antibody. The HRP-labeled antigen, as the signal labels in the immunosensor, was introduced to catalyze the following reaction of the substrate hydroquinone with the aid of H2O2 in the competitive reaction. On the basis of the signal amplification of PAMAM-Au, the signal intensity was linearly related to the concentration of norfloxacin in the range of 1 μg·L−1–10 mg·L−1. All the results showed that the proposed strategy with low LOD (0.3837 μg·L−1) and favorable recovery (91.6–106.1%) in the practical sample, and it could provide a suitable protocol for norfloxacin detection in animal-derived foods with high sensitivity, good accuracy, and stability. View Full-Text
Keywords: electrochemical immunosensor; dendrimer; signal amplification; norfloxacin; animal-derived foods electrochemical immunosensor; dendrimer; signal amplification; norfloxacin; animal-derived foods
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Liu, B.; Li, M.; Zhao, Y.; Pan, M.; Gu, Y.; Sheng, W.; Fang, G.; Wang, S. A Sensitive Electrochemical Immunosensor Based on PAMAM Dendrimer-Encapsulated Au for Detection of Norfloxacin in Animal-Derived Foods. Sensors 2018, 18, 1946.

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