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dc.contributor.author
Alcaraz, Mirta Raquel
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dc.contributor.author
Espinosa Mansilla, Anunciación
dc.contributor.author
Durán Merás, Isabel
dc.contributor.author
Muñoz de la Peña, Arsenio
dc.date.available
2024-03-21T13:45:23Z
dc.date.issued
2024-04
dc.identifier.citation
Alcaraz, Mirta Raquel; Espinosa Mansilla, Anunciación; Durán Merás, Isabel; Muñoz de la Peña, Arsenio; An optimized methodology for the determination of multiclass organic ultraviolet sunscreens and metabolites in human milk through chromatographic and chemometric resolution; Elsevier Science; Talanta; 270; 4-2024; 125560-125571
dc.identifier.issn
0039-9140
dc.identifier.uri
http://hdl.handle.net/11336/231171
dc.description.abstract
Organic UV filters (UVFS) are used to mitigate the dermal effects associated with health risks from UV radiation, making them essential in personal care products. UVFS are frequently identified in environmental samples due to their high lipophilicity and persistence, underscoring the urgency of comprehensive assessments and regulatory measures aimed at safeguarding ecosystems and human health. The present study reports a multiclass analytical method for determining 16 UV sunscreens and metabolites in breast milk based on an ultrasound-assisted-dispersive liquid-liquid micro-extraction (UA-DLLME) with further chromatographic and chemometric resolution. The experimental conditions of the UA-DLLME were optimized through the implementation of the Design of Experiment tools. To model the responses, least-squares and artificial neural network methodologies were implemented. The optimal conditions were found by employing the desirability function. The samples were analyzed through reverse-phase liquid chromatographic separation, UV diode array, and fast-scanning fluorescence detection. The chromatographic analysis enabled the resolution of 16 analytes in a total time of 13.0 min. Multivariate curve resolution-alternating least-square (MCR-ALS) modelling was implemented to resolve analytes that were not fully resolved and to determine analytes that coeluted with endogenous components of the breast milk samples. An enrichment factor of 5-fold concentration was obtained with this methodology, reaching recoveries between 65 % and 105 % for 13 multiclass UV sunscreens and metabolites in breast milk samples with RSD % and REP % lower than 12 %.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
UV absorption sunscreens
dc.subject
Endocrine disruptors
dc.subject
Chromatography
dc.subject
Chemometrics
dc.subject
breast milk
dc.subject.classification
Química Analítica
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dc.subject.classification
Ciencias Químicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
An optimized methodology for the determination of multiclass organic ultraviolet sunscreens and metabolites in human milk through chromatographic and chemometric resolution
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-03-19T14:25:15Z
dc.journal.volume
270
dc.journal.pagination
125560-125571
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
dc.description.fil
Fil: Espinosa Mansilla, Anunciación. Universidad de Extremadura; España
dc.description.fil
Fil: Durán Merás, Isabel. Universidad de Extremadura; España
dc.description.fil
Fil: Muñoz de la Peña, Arsenio. Universidad de Extremadura; España
dc.journal.title
Talanta
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0039914023013115
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.talanta.2023.125560
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