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dc.contributor.author
Alfarhani, Bassam
dc.contributor.author
Al-Tameemi, Maha
dc.contributor.author
Goicoechea, Hector Casimiro
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dc.contributor.author
Barbosa, Fernando Jr.
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dc.contributor.author
Campiglia, Andres D.
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dc.date.available
2019-11-18T12:20:20Z
dc.date.issued
2018-03
dc.identifier.citation
Alfarhani, Bassam; Al-Tameemi, Maha; Goicoechea, Hector Casimiro; Barbosa, Fernando Jr.; Campiglia, Andres D.; Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains; Elsevier Science; Microchemical Journal; 137; 3-2018; 51-61
dc.identifier.issn
0026-265X
dc.identifier.uri
http://hdl.handle.net/11336/89158
dc.description.abstract
The ultimate goal of the present study is to develop screening methodology for the urine analysis of metabolites of polycyclic aromatic hydrocarbons. The investigated approach is based on surface matrix fluorescence spectroscopy, where octadecyl silica membranes serve the dual purpose of metabolite extraction and solid substrate for fluorescence measurements. One of the main challenges faced by this approach is the interference of concomitants in the sample matrix. The present study focuses on three metabolites with strong spectral and lifetime overlapping, namely benzo[a]pyrene-trans-9,10-dihydrodiol, benzo[a]pyrene-r-7,t-8,c-9-tetrahydrotriol and benzo[a]pyrene-r-7,t-8,c-9,c-10-tetrahydrotetrol. As an attempt to improve spectral and lifetime resolution, time-resolved excitation emission matrices are recorded at 77 K with the aid of a cryogenic fiber optic probe and laser-based instrumentation. In comparison to conventional spectrofluorimeters, the use of laser-based instrumentation improves the limits of detection by approximately two-orders of magnitude. The fiber optic probe facilitates the collection of time-resolved excitation emission matrices for the detection of the three metabolites at the pg mL− 1 concentration level. Their accurate determination in urine samples of unknwon composition is only possible with the aid of unfolded-partial least squares/residual tri-linearization. This algorithm demonstrated to be well-equipped to handle strong overlapping in both the spectral and time domains.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Solid-phase extraction
dc.subject
Time-resolved excitation emission matrices
dc.subject
Urine analysis
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UPLS/RTL
dc.subject
PAH metabolites
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
Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-28T16:52:51Z
dc.journal.volume
137
dc.journal.pagination
51-61
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Alfarhani, Bassam. University of Florida; Estados Unidos
dc.description.fil
Fil: Al-Tameemi, Maha. University of Florida; Estados Unidos
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
dc.description.fil
Fil: Barbosa, Fernando Jr.. University of Florida; Estados Unidos. Universidade de Sao Paulo; Brasil
dc.description.fil
Fil: Campiglia, Andres D.. University of Florida; Estados Unidos
dc.journal.title
Microchemical Journal
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0026265X17305507
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.microc.2017.09.022
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