Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors

Autores
Rossi, Ezequiel; Salahshoor, Zahra; Ho, Khanh Van; Lin, Chung Ho; Errea, María Inés; Fidalgo, Maria M.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A photonic sensor based on inversed opal molecular imprinted polymer (MIP) film to detect the presence of chlorantraniliprole (CHL) residue in tomatoes was developed. Acrylic acid was polymerized in the presence of CHL inside the structure of a colloidal crystal, followed by etching of the colloids and CHL elution. Colloidal crystals and MIP films were characterized by scanning electron microscopy and FT-IR, confirming the inner structure and chemical structure of the material. MIP films supported on polymethylmethacrylate (PMMA) slides were incubated in aqueous solutions of the pesticide and in blended tomato samples. The MIP sensor displayed shifts of the peak wavelength of the reflection spectra in the visible range when incubated in CHL concentrations between 0.5 and 10 μg L−1, while almost no peak displacement was observed for non-imprinted (NIP) films. Whole tomatoes were blended into a liquid and spiked with CHL; the sensor was able to detect CHL residues down to 0.5 μg kg−1, significantly below the tolerance level established by the US Environmental Protection Agency of 1.4 mg kg−1. Stable values were reached after about 30-min incubation in test samples. Control samples (unspiked processed tomatoes) produced peak shifts both in MIP and NIP films; however, this matrix effect did not affect the detection of CHL in the spiked samples. These promising results support the application of photonic MIP sensors as an economical and field-deployable screening tool for the detection of CHL in crops.
Fil: Rossi, Ezequiel. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnología en Polímeros y Nanotecnología. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnología en Polímeros y Nanotecnología; Argentina
Fil: Salahshoor, Zahra. University of Missouri; Estados Unidos
Fil: Ho, Khanh Van. University of Missouri; Estados Unidos
Fil: Lin, Chung Ho. University of Missouri; Estados Unidos
Fil: Errea, María Inés. Instituto Tecnológico de Buenos Aires; Argentina
Fil: Fidalgo, Maria M.. University of Missouri; Estados Unidos
Materia
CHLORANTRANILIPROLE
COLLOIDAL CRYSTAL
MOLECULARLY IMPRINTED POLYMER
PESTICIDE DETECTION
PHOTONIC SENSOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/177185
Acceder
id CONICETDig_a6860e3ea7596921ff66124d85851343
oai_identifier_str oai:ri.conicet.gov.ar:11336/177185
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensorsRossi, EzequielSalahshoor, ZahraHo, Khanh VanLin, Chung HoErrea, María InésFidalgo, Maria M.CHLORANTRANILIPROLECOLLOIDAL CRYSTALMOLECULARLY IMPRINTED POLYMERPESTICIDE DETECTIONPHOTONIC SENSORhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A photonic sensor based on inversed opal molecular imprinted polymer (MIP) film to detect the presence of chlorantraniliprole (CHL) residue in tomatoes was developed. Acrylic acid was polymerized in the presence of CHL inside the structure of a colloidal crystal, followed by etching of the colloids and CHL elution. Colloidal crystals and MIP films were characterized by scanning electron microscopy and FT-IR, confirming the inner structure and chemical structure of the material. MIP films supported on polymethylmethacrylate (PMMA) slides were incubated in aqueous solutions of the pesticide and in blended tomato samples. The MIP sensor displayed shifts of the peak wavelength of the reflection spectra in the visible range when incubated in CHL concentrations between 0.5 and 10 μg L−1, while almost no peak displacement was observed for non-imprinted (NIP) films. Whole tomatoes were blended into a liquid and spiked with CHL; the sensor was able to detect CHL residues down to 0.5 μg kg−1, significantly below the tolerance level established by the US Environmental Protection Agency of 1.4 mg kg−1. Stable values were reached after about 30-min incubation in test samples. Control samples (unspiked processed tomatoes) produced peak shifts both in MIP and NIP films; however, this matrix effect did not affect the detection of CHL in the spiked samples. These promising results support the application of photonic MIP sensors as an economical and field-deployable screening tool for the detection of CHL in crops.Fil: Rossi, Ezequiel. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnología en Polímeros y Nanotecnología. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnología en Polímeros y Nanotecnología; ArgentinaFil: Salahshoor, Zahra. University of Missouri; Estados UnidosFil: Ho, Khanh Van. University of Missouri; Estados UnidosFil: Lin, Chung Ho. University of Missouri; Estados UnidosFil: Errea, María Inés. Instituto Tecnológico de Buenos Aires; ArgentinaFil: Fidalgo, Maria M.. University of Missouri; Estados UnidosSpringer Wien2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/pdfhttp://hdl.handle.net/11336/177185Rossi, Ezequiel; Salahshoor, Zahra; Ho, Khanh Van; Lin, Chung Ho; Errea, María Inés; et al.; Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors; Springer Wien; Mikrochimica Acta; 188; 3; 3-2021; 1-70026-3672CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00604-021-04731-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:30Zoai:ri.conicet.gov.ar:11336/177185instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:56:31.027CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
title Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
spellingShingle Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
Rossi, Ezequiel
CHLORANTRANILIPROLE
COLLOIDAL CRYSTAL
MOLECULARLY IMPRINTED POLYMER
PESTICIDE DETECTION
PHOTONIC SENSOR
title_short Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
title_full Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
title_fullStr Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
title_full_unstemmed Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
title_sort Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors
dc.creator.none.fl_str_mv Rossi, Ezequiel
Salahshoor, Zahra
Ho, Khanh Van
Lin, Chung Ho
Errea, María Inés
Fidalgo, Maria M.
author Rossi, Ezequiel
author_facet Rossi, Ezequiel
Salahshoor, Zahra
Ho, Khanh Van
Lin, Chung Ho
Errea, María Inés
Fidalgo, Maria M.
author_role author
author2 Salahshoor, Zahra
Ho, Khanh Van
Lin, Chung Ho
Errea, María Inés
Fidalgo, Maria M.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CHLORANTRANILIPROLE
COLLOIDAL CRYSTAL
MOLECULARLY IMPRINTED POLYMER
PESTICIDE DETECTION
PHOTONIC SENSOR
topic CHLORANTRANILIPROLE
COLLOIDAL CRYSTAL
MOLECULARLY IMPRINTED POLYMER
PESTICIDE DETECTION
PHOTONIC SENSOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A photonic sensor based on inversed opal molecular imprinted polymer (MIP) film to detect the presence of chlorantraniliprole (CHL) residue in tomatoes was developed. Acrylic acid was polymerized in the presence of CHL inside the structure of a colloidal crystal, followed by etching of the colloids and CHL elution. Colloidal crystals and MIP films were characterized by scanning electron microscopy and FT-IR, confirming the inner structure and chemical structure of the material. MIP films supported on polymethylmethacrylate (PMMA) slides were incubated in aqueous solutions of the pesticide and in blended tomato samples. The MIP sensor displayed shifts of the peak wavelength of the reflection spectra in the visible range when incubated in CHL concentrations between 0.5 and 10 μg L−1, while almost no peak displacement was observed for non-imprinted (NIP) films. Whole tomatoes were blended into a liquid and spiked with CHL; the sensor was able to detect CHL residues down to 0.5 μg kg−1, significantly below the tolerance level established by the US Environmental Protection Agency of 1.4 mg kg−1. Stable values were reached after about 30-min incubation in test samples. Control samples (unspiked processed tomatoes) produced peak shifts both in MIP and NIP films; however, this matrix effect did not affect the detection of CHL in the spiked samples. These promising results support the application of photonic MIP sensors as an economical and field-deployable screening tool for the detection of CHL in crops.
Fil: Rossi, Ezequiel. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnología en Polímeros y Nanotecnología. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnología en Polímeros y Nanotecnología; Argentina
Fil: Salahshoor, Zahra. University of Missouri; Estados Unidos
Fil: Ho, Khanh Van. University of Missouri; Estados Unidos
Fil: Lin, Chung Ho. University of Missouri; Estados Unidos
Fil: Errea, María Inés. Instituto Tecnológico de Buenos Aires; Argentina
Fil: Fidalgo, Maria M.. University of Missouri; Estados Unidos
description A photonic sensor based on inversed opal molecular imprinted polymer (MIP) film to detect the presence of chlorantraniliprole (CHL) residue in tomatoes was developed. Acrylic acid was polymerized in the presence of CHL inside the structure of a colloidal crystal, followed by etching of the colloids and CHL elution. Colloidal crystals and MIP films were characterized by scanning electron microscopy and FT-IR, confirming the inner structure and chemical structure of the material. MIP films supported on polymethylmethacrylate (PMMA) slides were incubated in aqueous solutions of the pesticide and in blended tomato samples. The MIP sensor displayed shifts of the peak wavelength of the reflection spectra in the visible range when incubated in CHL concentrations between 0.5 and 10 μg L−1, while almost no peak displacement was observed for non-imprinted (NIP) films. Whole tomatoes were blended into a liquid and spiked with CHL; the sensor was able to detect CHL residues down to 0.5 μg kg−1, significantly below the tolerance level established by the US Environmental Protection Agency of 1.4 mg kg−1. Stable values were reached after about 30-min incubation in test samples. Control samples (unspiked processed tomatoes) produced peak shifts both in MIP and NIP films; however, this matrix effect did not affect the detection of CHL in the spiked samples. These promising results support the application of photonic MIP sensors as an economical and field-deployable screening tool for the detection of CHL in crops.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/177185
Rossi, Ezequiel; Salahshoor, Zahra; Ho, Khanh Van; Lin, Chung Ho; Errea, María Inés; et al.; Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors; Springer Wien; Mikrochimica Acta; 188; 3; 3-2021; 1-7
0026-3672
CONICET Digital
CONICET
url http://hdl.handle.net/11336/177185
identifier_str_mv Rossi, Ezequiel; Salahshoor, Zahra; Ho, Khanh Van; Lin, Chung Ho; Errea, María Inés; et al.; Detection of chlorantraniliprole residues in tomato using field-deployable MIP photonic sensors; Springer Wien; Mikrochimica Acta; 188; 3; 3-2021; 1-7
0026-3672
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00604-021-04731-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
application/pdf
dc.publisher.none.fl_str_mv Springer Wien
publisher.none.fl_str_mv Springer Wien
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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