1. Colour-encoded lateral flow immunoassay for the simultaneous detection of aflatoxin B1 and type-B fumonisins in a single Test line.
- Author
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Di Nardo, Fabio, Alladio, Eugenio, Baggiani, Claudio, Cavalera, Simone, Giovannoli, Cristina, Spano, Giulia, and Anfossi, Laura
- Subjects
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GOLD nanoparticles , *AFLATOXINS , *MYCOTOXINS , *HORSERADISH peroxidase , *PHOSPHATASES , *CHEMILUMINESCENCE - Abstract
Abstract A multiplex Lateral Flow Immunoassay was developed based on the use of a single Test line and multicolour gold nanoparticles (GNPs) as signal reporters. Red and blue GNPs were linked to antibodies directed towards two different analytes and included in a typical lateral flow immunoassay configuration, in which the Test line was formed by the mixture of two antigens. As a result of the immunoreactions occurring at the Test zone, diverse combinations of red and blue GNPs labels were captured. Therefore, the Test line assumed different colours depending on which – and how much – analyte is present in the sample. The multiplexing capability of the 'colour-encoded assay' is illustrated by the simultaneous detection of aflatoxin B1 (AFB1) and type-B fumonisins (FMs) in wheat and food products that made with wheat. Reproducible detection of AFB1 and FMs contamination in raw and processed food was achieved with visual cut-off levels at 1 ng mL−1 and 50 ng mL−1, respectively. The contaminant was identified based on the colour of the label according with a specific colour code. Furthermore, strips images were acquired by means of a common smartphone and analysed through RGB data analysis providing semi-quantitative detection of the two mycotoxins. Graphical abstract fx1 Highlights • A novel lateral flow assay using dual colour gold nanoparticles is described. • Aflatoxins and fumonisins were simultaneously detected in cereal-based food. • A single Test line was fabricated that was sensitive to both mycotoxins. • A colour code allowed for detecting mycotoxins and discriminating among the two Smartphone-based detection provided quantification through RGB data analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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