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Design of A Low-Cost and Disposable Paper-Based Immunosensor for the Rapid and Sensitive Detection of Aflatoxin B1

Authors :
Andrey Soares
Osvaldo N. Oliveira
Fernanda L. Migliorini
Daniel S. Correa
Luiz H. C. Mattoso
Danilo Martins dos Santos
Source :
Chemosensors, Vol 8, Iss 87, p 87 (2020), Chemosensors, Volume 8, Issue 3, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

We report a paper-based electrochemical immunosensor made with sustainable materials to detect aflatoxin B1 (AFB1), a highly toxic, carcinogenic mycotoxin found in food. The immunosensor was prepared with a waterproof paper substrate and low-cost graphite-based conductive ink through a simple cut-printing method. The working electrode was functionalized with a drop-cast film of multiwalled carbon nanotubes (MWCNT)/chitosan on which a layer of anti-AFB1 monoclonal antibodies was immobilized covalently. The architecture of the immunosensor was confirmed with polarization-modulated infrared reflection absorption spectroscopy (PM-IRRAS) and electrochemical impedance spectroscopy (EIS), including the effective immobilization of the active layer of anti-AFB1. With EIS as the principle of detection, the immunosensor could detect AFB1 in the range from 1 to 30 ng&middot<br />mL&minus<br />1, and detection limit of 0.62 ng&middot<br />1. This sensitivity is sufficient to detect AFB1 in food according to regulatory agencies. The immunosensor exhibited good repeatability, reproducibility, stability, and selectivity in experiments with a possible interferent. Furthermore, detection of AFB1 in maize flour samples yielded recovery of 97&ndash<br />99%, in a demonstration of the possible use of the paper-based immunosensor to detect AFB1 using extraction solutions from food samples.

Details

Language :
English
ISSN :
22279040
Volume :
8
Issue :
87
Database :
OpenAIRE
Journal :
Chemosensors
Accession number :
edsair.doi.dedup.....5898d19ff09d72adbafbaab00647fdd3