A single drop histamine sensor based on AuNPs/MnO2 modified screen-printed electrode

In order to ensure high food quality, one of the prime importance is the detection and quantification of histamine, well known marine food poison. In this work, we constructed novel electrochemical biosensor for the detection of histamine based on gold nanoparticles decorated on manganese dioxide (A...

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Bibliographic Details
Main Author: Knezevic, Sara (author)
Other Authors: Ognjanovic, Milos (author), Nedic, Nemanja (author), Mariano, José (author), Milanovic, Zorana (author), Petkovic, Branka (author), Antic, Bratislav (author), Djuric, Sanja Vranjes (author), Stankovic, Dalibor (author)
Format: article
Language:eng
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10400.1/16472
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/16472
Description
Summary:In order to ensure high food quality, one of the prime importance is the detection and quantification of histamine, well known marine food poison. In this work, we constructed novel electrochemical biosensor for the detection of histamine based on gold nanoparticles decorated on manganese dioxide (Au/MnO2) and used for modification of screen-printed carbon electrode (Au/MnO2@SPCE). The constructed sensor was then used for the estimation of histamine content in a single drop. Materials used in this study were synthesized and characterized using HR-TEM, XRPD and electrochemical methods. The amperometric detection method was optimized and, under selected operating parameters (supporting electrolyte pH 6, working potential of 1 V), the proposed sensor possesses linear working range from 0.3 mu M to 5.1 mu M, with a detection limit of 0.08 mu M. The effect of selected interferences was investigated and it was found that the developed approach offers accurate, precise, selective, fast and reproducible quantification of histamine using only one drop of the sample. In the end, this work stands as a proof-of-concept of the modified electrodes and electrochemical detection as a promising and prospective approach for the applications in real-time monitoring of the food quality.