Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor
Population growth and increased production demands on fruit and vegetables have driven agricultural production to new heights. Nevertheless, agriculture remains one of the least optimized industries, with laboratory tests that take days to provide a clear result on the chemical level of produce. To...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/10/2/8 |
| _version_ | 1818899301912281088 |
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| author | Theofylaktos Apostolou Konstantinos Loizou Agni Hadjilouka Antonios Inglezakis Spyridon Kintzios |
| author_facet | Theofylaktos Apostolou Konstantinos Loizou Agni Hadjilouka Antonios Inglezakis Spyridon Kintzios |
| author_sort | Theofylaktos Apostolou |
| collection | DOAJ |
| description | Population growth and increased production demands on fruit and vegetables have driven agricultural production to new heights. Nevertheless, agriculture remains one of the least optimized industries, with laboratory tests that take days to provide a clear result on the chemical level of produce. To address this problem, we developed a tailor-made solution for the industry that can allow multiple field tests on key pesticides, based on a bioelectric cell biosensor and the measurement of the cell membrane potential changes, according to the principle of the Bioelectric Recognition Assay (BERA). We developed a fully functional system that operates using a newly developed hardware for multiple data sources and an Android application to provide results within 3 min. The presence of acetamiprid residues caused a cell membrane hyperpolarization, which was distinguishable from the control samples. A database that classified samples Below or Above Maximum Residue Levels (MRL) was then created, based on a newly developed algorithm. Additionally, lettuce samples were analyzed with the conventional and the newly developed method, in parallel, revealing a high correlation on sample classification. Thus, it was demonstrated that the novel biosensor system could be used in the food supply chain to increase the number of tested products before they reach the market. |
| first_indexed | 2024-12-19T19:45:48Z |
| format | Article |
| id | doaj.art-ca04c21a87704187ada28c722e2d446b |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-12-19T19:45:48Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-ca04c21a87704187ada28c722e2d446b2022-12-21T20:08:08ZengMDPI AGBiosensors2079-63742020-01-01102810.3390/bios10020008bios10020008Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell BiosensorTheofylaktos Apostolou0Konstantinos Loizou1Agni Hadjilouka2Antonios Inglezakis3Spyridon Kintzios4EMBIO Diagnostics Ltd., Athalassas Ave 8, Strovolos, 2018 Nicosia, CyprusEMBIO Diagnostics Ltd., Athalassas Ave 8, Strovolos, 2018 Nicosia, CyprusEMBIO Diagnostics Ltd., Athalassas Ave 8, Strovolos, 2018 Nicosia, CyprusEMBIO Diagnostics Ltd., Athalassas Ave 8, Strovolos, 2018 Nicosia, CyprusLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, 75 Iera Odos St., 11855 Athens, GreecePopulation growth and increased production demands on fruit and vegetables have driven agricultural production to new heights. Nevertheless, agriculture remains one of the least optimized industries, with laboratory tests that take days to provide a clear result on the chemical level of produce. To address this problem, we developed a tailor-made solution for the industry that can allow multiple field tests on key pesticides, based on a bioelectric cell biosensor and the measurement of the cell membrane potential changes, according to the principle of the Bioelectric Recognition Assay (BERA). We developed a fully functional system that operates using a newly developed hardware for multiple data sources and an Android application to provide results within 3 min. The presence of acetamiprid residues caused a cell membrane hyperpolarization, which was distinguishable from the control samples. A database that classified samples Below or Above Maximum Residue Levels (MRL) was then created, based on a newly developed algorithm. Additionally, lettuce samples were analyzed with the conventional and the newly developed method, in parallel, revealing a high correlation on sample classification. Thus, it was demonstrated that the novel biosensor system could be used in the food supply chain to increase the number of tested products before they reach the market.https://www.mdpi.com/2079-6374/10/2/8cell based biosensoracetamipridbioelectric recognition assay, membrane-engineering |
| spellingShingle | Theofylaktos Apostolou Konstantinos Loizou Agni Hadjilouka Antonios Inglezakis Spyridon Kintzios Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor Biosensors cell based biosensor acetamiprid bioelectric recognition assay, membrane-engineering |
| title | Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor |
| title_full | Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor |
| title_fullStr | Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor |
| title_full_unstemmed | Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor |
| title_short | Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor |
| title_sort | newly developed system for acetamiprid residue screening in the lettuce samples based on a bioelectric cell biosensor |
| topic | cell based biosensor acetamiprid bioelectric recognition assay, membrane-engineering |
| url | https://www.mdpi.com/2079-6374/10/2/8 |
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