Second-order electrochemical data generation to quantify carvacrol in oregano essential oils
- Autores
- Darío Pierini, Gastón; Andrés Bortolato, Santiago; Robledo, Sebastian Noel; Alcaraz, Mirta Raquel; Fernandez, Hector; Goicoechea, Hector Casimiro; Zon, María Alicia
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- A novel analytical method using voltammetric second-order modeling based on multivariate curve resolution-alternating least-square (MCR-ALS) is presented for the first time for the quantitation of carvacrol (CAR) in oregano essential oils (OEO). The second-order cyclic voltammetry data were generated on the basis that CAR shows a diffusional system. Thus, the scan rate (v) was used as a second instrumental mode and cyclic voltammograms at different v were acquired for a single sample, generating the second-order data. CAR determination was performed in presence of thymol, included as a potential interferent. Results demonstrated that MCR-ALS successfully exploited the second-order advantage and the recoveries were not statistically different than 100%. The limits of detection and quantitation were estimated using the MCR-ALS which were 6.27 × 10−5°mol°L−1°and 1.90 × 10−4°mol L−1, respectively. Finally, the developed methodology was implemented to quantify of CAR in OEO samples.
Fil: Darío Pierini, Gastón. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Andrés Bortolato, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Robledo, Sebastian Noel. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Fernandez, Hector. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Zon, María Alicia. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina - Materia
-
CARVACROL
CYCLIC VOLTAMMETRY
OREGANO ESSENTIAL OILS
SECOND ORDER ADVANTAGE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/164593
Ver los metadatos del registro completo
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Second-order electrochemical data generation to quantify carvacrol in oregano essential oilsDarío Pierini, GastónAndrés Bortolato, SantiagoRobledo, Sebastian NoelAlcaraz, Mirta RaquelFernandez, HectorGoicoechea, Hector CasimiroZon, María AliciaCARVACROLCYCLIC VOLTAMMETRYOREGANO ESSENTIAL OILSSECOND ORDER ADVANTAGEhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A novel analytical method using voltammetric second-order modeling based on multivariate curve resolution-alternating least-square (MCR-ALS) is presented for the first time for the quantitation of carvacrol (CAR) in oregano essential oils (OEO). The second-order cyclic voltammetry data were generated on the basis that CAR shows a diffusional system. Thus, the scan rate (v) was used as a second instrumental mode and cyclic voltammograms at different v were acquired for a single sample, generating the second-order data. CAR determination was performed in presence of thymol, included as a potential interferent. Results demonstrated that MCR-ALS successfully exploited the second-order advantage and the recoveries were not statistically different than 100%. The limits of detection and quantitation were estimated using the MCR-ALS which were 6.27 × 10−5°mol°L−1°and 1.90 × 10−4°mol L−1, respectively. Finally, the developed methodology was implemented to quantify of CAR in OEO samples.Fil: Darío Pierini, Gastón. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaFil: Andrés Bortolato, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Robledo, Sebastian Noel. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaFil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Fernandez, Hector. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaFil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Zon, María Alicia. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaElsevier2021-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/164593Darío Pierini, Gastón; Andrés Bortolato, Santiago; Robledo, Sebastian Noel; Alcaraz, Mirta Raquel; Fernandez, Hector; et al.; Second-order electrochemical data generation to quantify carvacrol in oregano essential oils; Elsevier; Food Chemistry; 368; 8-2021; 1-350308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S030881462101846Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2021.130840info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:46Zoai:ri.conicet.gov.ar:11336/164593instacron: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:34982025-09-03 10:04:46.431CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
title |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
spellingShingle |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils Darío Pierini, Gastón CARVACROL CYCLIC VOLTAMMETRY OREGANO ESSENTIAL OILS SECOND ORDER ADVANTAGE |
title_short |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
title_full |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
title_fullStr |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
title_full_unstemmed |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
title_sort |
Second-order electrochemical data generation to quantify carvacrol in oregano essential oils |
dc.creator.none.fl_str_mv |
Darío Pierini, Gastón Andrés Bortolato, Santiago Robledo, Sebastian Noel Alcaraz, Mirta Raquel Fernandez, Hector Goicoechea, Hector Casimiro Zon, María Alicia |
author |
Darío Pierini, Gastón |
author_facet |
Darío Pierini, Gastón Andrés Bortolato, Santiago Robledo, Sebastian Noel Alcaraz, Mirta Raquel Fernandez, Hector Goicoechea, Hector Casimiro Zon, María Alicia |
author_role |
author |
author2 |
Andrés Bortolato, Santiago Robledo, Sebastian Noel Alcaraz, Mirta Raquel Fernandez, Hector Goicoechea, Hector Casimiro Zon, María Alicia |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
CARVACROL CYCLIC VOLTAMMETRY OREGANO ESSENTIAL OILS SECOND ORDER ADVANTAGE |
topic |
CARVACROL CYCLIC VOLTAMMETRY OREGANO ESSENTIAL OILS SECOND ORDER ADVANTAGE |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
A novel analytical method using voltammetric second-order modeling based on multivariate curve resolution-alternating least-square (MCR-ALS) is presented for the first time for the quantitation of carvacrol (CAR) in oregano essential oils (OEO). The second-order cyclic voltammetry data were generated on the basis that CAR shows a diffusional system. Thus, the scan rate (v) was used as a second instrumental mode and cyclic voltammograms at different v were acquired for a single sample, generating the second-order data. CAR determination was performed in presence of thymol, included as a potential interferent. Results demonstrated that MCR-ALS successfully exploited the second-order advantage and the recoveries were not statistically different than 100%. The limits of detection and quantitation were estimated using the MCR-ALS which were 6.27 × 10−5°mol°L−1°and 1.90 × 10−4°mol L−1, respectively. Finally, the developed methodology was implemented to quantify of CAR in OEO samples. Fil: Darío Pierini, Gastón. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina Fil: Andrés Bortolato, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina Fil: Robledo, Sebastian Noel. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina Fil: Fernandez, Hector. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina Fil: Zon, María Alicia. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina |
description |
A novel analytical method using voltammetric second-order modeling based on multivariate curve resolution-alternating least-square (MCR-ALS) is presented for the first time for the quantitation of carvacrol (CAR) in oregano essential oils (OEO). The second-order cyclic voltammetry data were generated on the basis that CAR shows a diffusional system. Thus, the scan rate (v) was used as a second instrumental mode and cyclic voltammograms at different v were acquired for a single sample, generating the second-order data. CAR determination was performed in presence of thymol, included as a potential interferent. Results demonstrated that MCR-ALS successfully exploited the second-order advantage and the recoveries were not statistically different than 100%. The limits of detection and quantitation were estimated using the MCR-ALS which were 6.27 × 10−5°mol°L−1°and 1.90 × 10−4°mol L−1, respectively. Finally, the developed methodology was implemented to quantify of CAR in OEO samples. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 |
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/11336/164593 Darío Pierini, Gastón; Andrés Bortolato, Santiago; Robledo, Sebastian Noel; Alcaraz, Mirta Raquel; Fernandez, Hector; et al.; Second-order electrochemical data generation to quantify carvacrol in oregano essential oils; Elsevier; Food Chemistry; 368; 8-2021; 1-35 0308-8146 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/164593 |
identifier_str_mv |
Darío Pierini, Gastón; Andrés Bortolato, Santiago; Robledo, Sebastian Noel; Alcaraz, Mirta Raquel; Fernandez, Hector; et al.; Second-order electrochemical data generation to quantify carvacrol in oregano essential oils; Elsevier; Food Chemistry; 368; 8-2021; 1-35 0308-8146 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S030881462101846X info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2021.130840 |
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/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
13.13397 |