Sensor based on molecularly imprinted polymer membranes and smartphone for detection of Fusarium contamination in cereals
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Date
2020
Authors
Sergeyeva, Tetyana
Yarynka, Daria
Dubey, Larysa
Dubey, Igor
Piletska, Elena
Linnik, Rostyslav
Antonyuk, Maksym
Ternovska, Tamara
Brovko, Oleksandr
Piletsky, Sergey
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Abstract
The combination of the generic mobile technology and inherent stability, versatility and
cost-e ectiveness of the synthetic receptors allows producing optical sensors for potentially any
analyte of interest, and, therefore, to qualify as a platform technology for a fast routine analysis
of a large number of contaminated samples. To support this statement, we present here a novel
miniature sensor based on a combination of molecularly imprinted polymer (MIP) membranes and a
smartphone, which could be used for the point-of-care detection of an important food contaminant,
oestrogen-like toxin zearalenone associated with Fusarium contamination of cereals. The detection is
based on registration of natural fluorescence of zearalenone using a digital smartphone camera after
it binds to the sensor recognition element. The recorded image is further processed using a mobile
application. It shows here a first example of the zearalenone-specific MIP membranes synthesised
in situ using “dummy template”-based approach with cyclododecyl 2, 4-dihydroxybenzoate as the
template and 1-allylpiperazine as a functional monomer. The novel smartphone sensor system
based on optimized MIP membranes provides zearalenone detection in cereal samples within the
range of 1–10 g mL��1 demonstrating a detection limit of 1 g mL��1 in a direct sensing mode.
In order to reach the level of sensitivity required for practical application, a competitive sensing
mode is also developed. It is based on application of a highly-fluorescent structural analogue of
zearalenone (2-[(pyrene-l-carbonyl) amino]ethyl 2,4-dihydroxybenzoate) which is capable to compete
with the target mycotoxin for the binding to zearalenone-selective sites in the membrane’s structure.
The competitive mode increases 100 times the sensor’s sensitivity and allows detecting zearalenone
at 10 ng mL��1. The linear dynamic range in this case comprised 10–100 ng mL��1. The sensor system
is tested and found e ective for zearalenone detection in maize, wheat and rye flour samples both
spiked and naturally contaminated. The developed MIP membrane-based smartphone sensor system
is an example of a novel, inexpensive tool for food quality analysis, which is portable and can be used
for the “field” measurements and easily translated into the practice.
Description
Keywords
biosensors, molecularly imprinted polymer membranes, smartphone-based sensors, fluorescence, mycotoxins, zearalenone, article
Citation
Sensor based on molecularly imprinted polymer membranes and smartphone for detection of Fusarium contamination in cereals [electronic resource] / Sergeyeva T., Yarynka D., Dubey L., Dubey I., Piletska E., Linnik R., Antonyuk M., Ternovska T., Brovko O., Piletsky S., El’skaya A. // Sensors. - 2020. - Vol. 20, Issue 15. - Article number 4304. - P. 1-20. - https://doi.org/10.3390/s20154304