Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries
Boscalid is an agrochemical recently developed for crop protection and the most significant member of the succinate dehydrogenase inhibitor group of fungicides. In this study, a collection of high-affinity monoclonal antibodies was generated to boscalid. By using a series of haptens with a linker at...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/179467 |
| Acceso en línea: | http://hdl.handle.net/10261/179467 |
| Access Level: | acceso abierto |
| Palabra clave: | Competitive ELISA Monoclonal antibodies Fungicide Strawberries Boscalid Metabolite M510F01 |
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Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberriesEsteve Turrillas, Francesc A.Mercader Badia, Josep VicentAgulló, ConsueloAbad Somovilla, AntonioAbad Fuentes, AntonioCompetitive ELISAMonoclonal antibodiesFungicideStrawberriesBoscalidMetabolite M510F01Boscalid is an agrochemical recently developed for crop protection and the most significant member of the succinate dehydrogenase inhibitor group of fungicides. In this study, a collection of high-affinity monoclonal antibodies was generated to boscalid. By using a series of haptens with a linker at alternative tethering sites of the boscalid framework, specific antibodies were isolated as well as antibodies that also recognized the main boscalid metabolite. Two immunoassays were developed using different ELISA formats. Optimized assays displayed very high sensitivities (limits of detection were near 0.01 µg/L). Trueness and precision for the determination of the target analyte in strawberry samples was evaluated. Moreover, immunoassay performance was validated with a reference chromatographic method using QuEChERS extracts of fruits from fungicide-treated crops. A monitoring study with strawberry samples from local markets was carried out by immunoassay, showing an occurrence of boscalid of 15% with a maximum residue concentration of 43 µg/kg.This work was supported by the Spanish Ministerio de Ciencia e Innovación (AGL2009-12940-C02-01/02/ALI and AGL2012-39965-C02-01/02/ALI) and cofinanced by European Regional Development Funds.Peer reviewedElsevierMinisterio de Ciencia e Innovación (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/179467reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.foodchem.2017.06.013Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1794672026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| title |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| spellingShingle |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries Esteve Turrillas, Francesc A. Competitive ELISA Monoclonal antibodies Fungicide Strawberries Boscalid Metabolite M510F01 |
| title_short |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| title_full |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| title_fullStr |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| title_full_unstemmed |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| title_sort |
Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries |
| dc.creator.none.fl_str_mv |
Esteve Turrillas, Francesc A. Mercader Badia, Josep Vicent Agulló, Consuelo Abad Somovilla, Antonio Abad Fuentes, Antonio |
| author |
Esteve Turrillas, Francesc A. |
| author_facet |
Esteve Turrillas, Francesc A. Mercader Badia, Josep Vicent Agulló, Consuelo Abad Somovilla, Antonio Abad Fuentes, Antonio |
| author_role |
author |
| author2 |
Mercader Badia, Josep Vicent Agulló, Consuelo Abad Somovilla, Antonio Abad Fuentes, Antonio |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Ciencia e Innovación (España) European Commission Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Competitive ELISA Monoclonal antibodies Fungicide Strawberries Boscalid Metabolite M510F01 |
| topic |
Competitive ELISA Monoclonal antibodies Fungicide Strawberries Boscalid Metabolite M510F01 |
| description |
Boscalid is an agrochemical recently developed for crop protection and the most significant member of the succinate dehydrogenase inhibitor group of fungicides. In this study, a collection of high-affinity monoclonal antibodies was generated to boscalid. By using a series of haptens with a linker at alternative tethering sites of the boscalid framework, specific antibodies were isolated as well as antibodies that also recognized the main boscalid metabolite. Two immunoassays were developed using different ELISA formats. Optimized assays displayed very high sensitivities (limits of detection were near 0.01 µg/L). Trueness and precision for the determination of the target analyte in strawberry samples was evaluated. Moreover, immunoassay performance was validated with a reference chromatographic method using QuEChERS extracts of fruits from fungicide-treated crops. A monitoring study with strawberry samples from local markets was carried out by immunoassay, showing an occurrence of boscalid of 15% with a maximum residue concentration of 43 µg/kg. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2019 2019 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/179467 |
| url |
http://hdl.handle.net/10261/179467 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
https://doi.org/10.1016/j.foodchem.2017.06.013 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869403425737801728 |
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15,811543 |