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dc.contributor.author
Montemurro, Milagros
dc.contributor.author
Siano, Gabriel German
dc.contributor.author
Culzoni, Maria Julia
dc.contributor.author
Goicoechea, Hector Casimiro
dc.date.available
2020-05-01T14:24:21Z
dc.date.issued
2017-02
dc.identifier.citation
Montemurro, Milagros; Siano, Gabriel German; Culzoni, Maria Julia; Goicoechea, Hector Casimiro; Automatic generation of photochemically induced excitation-emission-kinetic four-way data for the highly selective determination of azinphos-methyl in fruit juices; Elsevier Science Sa; Sensors and Actuators B: Chemical; 239; 2-2017; 397-404
dc.identifier.issn
0925-4005
dc.identifier.uri
http://hdl.handle.net/11336/104068
dc.description.abstract
An application of four-way multivariate calibration for the quantitation of azinphos-methyl (AZM) in fruits is presented. The known photochemically induced degradation of AZM into a highly fluorescent product was exploited for the generation of third-order data with quantitative purpose. The data generation consisted in the measurement of excitation-emission fluorescence matrices at different times after UV-light irradiation. For this purpose, a reactor was built connecting an external UV-light source through an optical fiber to the sample holder. The data were modelled with two algorithms, PARAFAC and U-PLS/RTL. The second-order advantage was exploited in the analysis of samples containing un-modelled components and an improvement in the analytical figures of merit was observed as long as the data dimensions were increased. The method was successfully applied to the quantitation of AZM in apple, pear and peach juice samples with and without spiked analyte. The limits of detection were of 3.6 ug L −1 in aqueous solution and 21?66 ug L−1 in fruit juice samples.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science Sa
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AZINPHOS-METHYL
dc.subject
PHOTOCHEMICALLY INDUCED DEGRADATION
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FOUR-WAY DATA
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FRUIT JUICE
dc.subject.classification
Química Analítica
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Automatic generation of photochemically induced excitation-emission-kinetic four-way data for the highly selective determination of azinphos-methyl in fruit juices
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-28T13:06:30Z
dc.journal.volume
239
dc.journal.pagination
397-404
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Montemurro, Milagros. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Química. Cátedra de Química Analítica; Argentina
dc.description.fil
Fil: Siano, Gabriel German. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Química. Cátedra de Química Analítica; Argentina
dc.description.fil
Fil: Culzoni, Maria Julia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Química. Cátedra de Química Analítica; Argentina
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Química. Cátedra de Química Analítica; Argentina
dc.journal.title
Sensors and Actuators B: Chemical
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0925400516312655
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.snb.2016.08.033
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