Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals
The combination of the generic mobile technology and inherent stability, versatility and cost-effectiveness 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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4304 |
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| author | Tetyana Sergeyeva Daria Yarynka Larysa Dubey Igor Dubey Elena Piletska Rostyslav Linnik Maksym Antonyuk Tamara Ternovska Oleksandr Brovko Sergey Piletsky Anna El’skaya |
| author_facet | Tetyana Sergeyeva Daria Yarynka Larysa Dubey Igor Dubey Elena Piletska Rostyslav Linnik Maksym Antonyuk Tamara Ternovska Oleksandr Brovko Sergey Piletsky Anna El’skaya |
| author_sort | Tetyana Sergeyeva |
| collection | DOAJ |
| description | The combination of the generic mobile technology and inherent stability, versatility and cost-effectiveness 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 <i>Fusarium</i> 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 µg mL<sup>−1</sup> demonstrating a detection limit of 1 µg mL<sup>−1</sup> 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<sup>−1</sup>. The linear dynamic range in this case comprised 10–100 ng mL<sup>−1</sup>. The sensor system is tested and found effective 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. |
| first_indexed | 2024-03-10T18:02:06Z |
| format | Article |
| id | doaj.art-55401c8bbf6748caa7e767c30c1d3af5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:02:06Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-55401c8bbf6748caa7e767c30c1d3af52023-11-20T08:47:41ZengMDPI AGSensors1424-82202020-08-012015430410.3390/s20154304Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in CerealsTetyana Sergeyeva0Daria Yarynka1Larysa Dubey2Igor Dubey3Elena Piletska4Rostyslav Linnik5Maksym Antonyuk6Tamara Ternovska7Oleksandr Brovko8Sergey Piletsky9Anna El’skaya10Institute of Molecular Biology and Genetics, 150 Zabolotnogo str., 03143 Kyiv, UkraineInstitute of Molecular Biology and Genetics, 150 Zabolotnogo str., 03143 Kyiv, UkraineInstitute of Molecular Biology and Genetics, 150 Zabolotnogo str., 03143 Kyiv, UkraineInstitute of Molecular Biology and Genetics, 150 Zabolotnogo str., 03143 Kyiv, UkraineSchool of Chemistry, College of Science and Engineering, University of Leicester, Leicester LE1 7RH, UKDepartment of Chemistry, Taras Shevchenko National University of Kyiv, 64/13 Volodymyrska Street, 01601 Kyiv, UkraineBiology Department, National University “Kyiv-Mohyla Academy”, 2 Skovorody str., 04070 Kyiv, UkraineBiology Department, National University “Kyiv-Mohyla Academy”, 2 Skovorody str., 04070 Kyiv, UkraineInstitute of Macromolecular Chemistry, 48 Kharkivske Shosse, 02160 Kyiv, UkraineSchool of Chemistry, College of Science and Engineering, University of Leicester, Leicester LE1 7RH, UKInstitute of Molecular Biology and Genetics, 150 Zabolotnogo str., 03143 Kyiv, UkraineThe combination of the generic mobile technology and inherent stability, versatility and cost-effectiveness 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 <i>Fusarium</i> 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 µg mL<sup>−1</sup> demonstrating a detection limit of 1 µg mL<sup>−1</sup> 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<sup>−1</sup>. The linear dynamic range in this case comprised 10–100 ng mL<sup>−1</sup>. The sensor system is tested and found effective 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.https://www.mdpi.com/1424-8220/20/15/4304biosensorsmolecularly imprinted polymer membranessmartphone-based sensorsfluorescencemycotoxinszearalenone |
| spellingShingle | Tetyana Sergeyeva Daria Yarynka Larysa Dubey Igor Dubey Elena Piletska Rostyslav Linnik Maksym Antonyuk Tamara Ternovska Oleksandr Brovko Sergey Piletsky Anna El’skaya Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals Sensors biosensors molecularly imprinted polymer membranes smartphone-based sensors fluorescence mycotoxins zearalenone |
| title | Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals |
| title_full | Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals |
| title_fullStr | Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals |
| title_full_unstemmed | Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals |
| title_short | Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of <i>Fusarium</i> Contamination in Cereals |
| title_sort | sensor based on molecularly imprinted polymer membranes and smartphone for detection of i fusarium i contamination in cereals |
| topic | biosensors molecularly imprinted polymer membranes smartphone-based sensors fluorescence mycotoxins zearalenone |
| url | https://www.mdpi.com/1424-8220/20/15/4304 |
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