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Affinity Sensing Strategies for the Detection of Pesticides in Food
This is a review of recent affinity-based approaches that detect pesticides in food. The importance of the quantification and monitoring of pesticides is firstly discussed, followed by a description of the different approaches reported in the literature. The different sensing approaches are reported...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165126/ https://www.ncbi.nlm.nih.gov/pubmed/30189666 http://dx.doi.org/10.3390/foods7090148 |
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author | Capoferri, Denise Della Pelle, Flavio Del Carlo, Michele Compagnone, Dario |
author_facet | Capoferri, Denise Della Pelle, Flavio Del Carlo, Michele Compagnone, Dario |
author_sort | Capoferri, Denise |
collection | PubMed |
description | This is a review of recent affinity-based approaches that detect pesticides in food. The importance of the quantification and monitoring of pesticides is firstly discussed, followed by a description of the different approaches reported in the literature. The different sensing approaches are reported according to the different recognition element used: antibodies, aptamers, or molecularly imprinted polymers. Schemes of detection and the main features of the assays are reported and commented upon. The large number of affinity sensors recently developed and tested on real samples demonstrate that this approach is ready to be validated to monitor the amount of pesticides used in food commodities. |
format | Online Article Text |
id | pubmed-6165126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61651262018-10-15 Affinity Sensing Strategies for the Detection of Pesticides in Food Capoferri, Denise Della Pelle, Flavio Del Carlo, Michele Compagnone, Dario Foods Review This is a review of recent affinity-based approaches that detect pesticides in food. The importance of the quantification and monitoring of pesticides is firstly discussed, followed by a description of the different approaches reported in the literature. The different sensing approaches are reported according to the different recognition element used: antibodies, aptamers, or molecularly imprinted polymers. Schemes of detection and the main features of the assays are reported and commented upon. The large number of affinity sensors recently developed and tested on real samples demonstrate that this approach is ready to be validated to monitor the amount of pesticides used in food commodities. MDPI 2018-09-05 /pmc/articles/PMC6165126/ /pubmed/30189666 http://dx.doi.org/10.3390/foods7090148 Text en © 2018 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 | Review Capoferri, Denise Della Pelle, Flavio Del Carlo, Michele Compagnone, Dario Affinity Sensing Strategies for the Detection of Pesticides in Food |
title | Affinity Sensing Strategies for the Detection of Pesticides in Food |
title_full | Affinity Sensing Strategies for the Detection of Pesticides in Food |
title_fullStr | Affinity Sensing Strategies for the Detection of Pesticides in Food |
title_full_unstemmed | Affinity Sensing Strategies for the Detection of Pesticides in Food |
title_short | Affinity Sensing Strategies for the Detection of Pesticides in Food |
title_sort | affinity sensing strategies for the detection of pesticides in food |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165126/ https://www.ncbi.nlm.nih.gov/pubmed/30189666 http://dx.doi.org/10.3390/foods7090148 |
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