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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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Barbosa, Fernando Jr.  
dc.contributor.author
Campiglia, Andres D.  
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  
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  
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Time-resolved excitation emission matrices  
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Urine analysis  
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UPLS/RTL  
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PAH metabolites  
dc.subject.classification
Química Analítica  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
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  
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  
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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  
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