Deltamethrin determination in natural water samples via photochemically-induced fluorescence coupled to third-order multivariate calibration
Author
dc.contributor.author
Veneciano, Rodrigo I.
Author
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Parra, V. Sonnia
Author
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Quiroz, Waldo
Author
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Fuentes Pérez, Edwar
Author
dc.contributor.author
Aguilar, Luis F.
Author
dc.contributor.author
Bravo, Manuel A.
Admission date
dc.date.accessioned
2021-06-30T00:10:19Z
Available date
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2021-06-30T00:10:19Z
Publication date
dc.date.issued
2020
Cita de ítem
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Microchemical Journal 159 (2020) 105561
es_ES
Identifier
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10.1016/j.microc.2020.105561
Identifier
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https://repositorio.uchile.cl/handle/2250/180328
Abstract
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In this work, an analytical method for deltamethrin determination in natural waters based on photochemicallyinduced fluorescence coupled to third-order/four-way calibration was evaluated and compared with secondorder/three-way calibration. The four-way data were obtained during the photodegradation of deltamethrin in the form of excitation-emission fluorescence matrices and modelled by unfolded partial least squares coupled to residual trilinearization (U-PLS-RTL). According to the results, the third-order model resulted in a satisfactory fit and better figures of merit, even in the presence of unexpected interferences due to the additional dimension. In this way, the method presents a limit of detection of 2.9 mu g L-1 and a relative error of prediction of 15.8%. The optimization of a dispersive liquid-liquid microextraction (DLLME) procedure reached an enrichment factor (EF) of 5, improving the detection and quantification limits. Finally, the analytical method based on third-order multivariate calibration was applied to quantify this analyte in spiked natural water samples, both directly and after preconcentration. In all cases, the third-order property allowed us to satisfactorily model the data and quantify this compound in these complex matrices, demonstrating the superior analytical performance of the high-order data evaluated.
es_ES
Patrocinador
dc.description.sponsorship
Agencia Nacional de Investigacion y Desarrollo ANID
Fondecyt 1190752
Direccion de Investigacion-PUCV