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dc.contributor.author
Tonello, Natalia Veronica  
dc.contributor.author
Moressi, Marcela Beatriz  
dc.contributor.author
Robledo, Sebastian Noel  
dc.contributor.author
D'eramo, Fabiana  
dc.contributor.author
Marioli, Juan Miguel  
dc.date.available
2022-12-01T11:17:47Z  
dc.date.issued
2016-05  
dc.identifier.citation
Tonello, Natalia Veronica; Moressi, Marcela Beatriz; Robledo, Sebastian Noel; D'eramo, Fabiana; Marioli, Juan Miguel; Square wave voltammetry with multivariate calibration tools for determination of eugenol, carvacrol and thymol in honey; Elsevier Science; Talanta; 158; 5-2016; 306-314  
dc.identifier.issn
0039-9140  
dc.identifier.uri
http://hdl.handle.net/11336/179685  
dc.description.abstract
The simultaneous determination of eugenol (EU), thymol (Ty) and carvacrol (CA) in honey samples, employing square wave voltammetry (SWV) and chemometrics tools, is informed for the first time. For this purpose, a glassy carbon electrode (GCE) was used as working electrode. The operating conditions and influencing parameters (involving several chemical and instrumental parameters) were first optimized by cyclic voltammetry (CV). Thus, the effects of the scan rate, pH and analyte concentration on the electrochemical response of the above mentioned molecules were studied. The results show that the electrochemical responses of the three compounds are very similar and that the voltammetric traces present a high degree of overlap under all the experimental conditions used in this study. Therefore, two chemometric tools were tested to obtain the multivariate calibration model. One method was the partial least squares regression (PLS-1), which assumes a linear behaviour. The other nonlinear method was an artificial neural network (ANN). In this last case we used a supervised, feed-forward network with Levenberg-Marquardt back propagation training. From the accuracies and precisions analysis between nominal and estimated concentrations calculated by using both methods, it was inferred that the ANN method was a good model to quantify EU, Ty and CA in honey samples. Recovery percentages were between 87% and 104%, except for two samples whose values were 136% and 72%. The analytical methodology was simple, fast and accurate.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ANNS  
dc.subject
CARVACROL  
dc.subject
ESSENTIAL OILS  
dc.subject
EUGENOL  
dc.subject
HONEY  
dc.subject
THYMOL  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Square wave voltammetry with multivariate calibration tools for determination of eugenol, carvacrol and thymol in honey  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-11-30T22:34:28Z  
dc.journal.volume
158  
dc.journal.pagination
306-314  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Tonello, Natalia Veronica. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Moressi, Marcela Beatriz. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Departamento de Química; Argentina  
dc.description.fil
Fil: Robledo, Sebastian Noel. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: D'eramo, Fabiana. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Marioli, Juan Miguel. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.journal.title
Talanta  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0039914016304088  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.talanta.2016.05.071