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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...

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Detalles Bibliográficos
Autores principales: Apostolou, Theofylaktos, Loizou, Konstantinos, Hadjilouka, Agni, Inglezakis, Antonios, Kintzios, Spyridon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168231/
https://www.ncbi.nlm.nih.gov/pubmed/31991561
http://dx.doi.org/10.3390/bios10020008
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author Apostolou, Theofylaktos
Loizou, Konstantinos
Hadjilouka, Agni
Inglezakis, Antonios
Kintzios, Spyridon
author_facet Apostolou, Theofylaktos
Loizou, Konstantinos
Hadjilouka, Agni
Inglezakis, Antonios
Kintzios, Spyridon
author_sort Apostolou, Theofylaktos
collection PubMed
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.
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spelling pubmed-71682312020-04-22 Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor Apostolou, Theofylaktos Loizou, Konstantinos Hadjilouka, Agni Inglezakis, Antonios Kintzios, Spyridon Biosensors (Basel) Article 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. MDPI 2020-01-24 /pmc/articles/PMC7168231/ /pubmed/31991561 http://dx.doi.org/10.3390/bios10020008 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Apostolou, Theofylaktos
Loizou, Konstantinos
Hadjilouka, Agni
Inglezakis, Antonios
Kintzios, Spyridon
Newly Developed System for Acetamiprid Residue Screening in the Lettuce Samples Based on a Bioelectric Cell Biosensor
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168231/
https://www.ncbi.nlm.nih.gov/pubmed/31991561
http://dx.doi.org/10.3390/bios10020008
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