Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains

Autores
Alfarhani, Bassam; Al-Tameemi, Maha; Goicoechea, Hector Casimiro; Barbosa, Fernando Jr.; Campiglia, Andres D.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Alfarhani, Bassam. University of Florida; Estados Unidos
Fil: Al-Tameemi, Maha. University of Florida; Estados Unidos
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
Fil: Barbosa, Fernando Jr.. University of Florida; Estados Unidos. Universidade de Sao Paulo; Brasil
Fil: Campiglia, Andres D.. University of Florida; Estados Unidos
Materia
Solid-phase extraction
Time-resolved excitation emission matrices
Urine analysis
UPLS/RTL
PAH metabolites
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/89158
Acceder
id CONICETDig_f0b4c0dbc77d53d067dc6df134dfee2b
oai_identifier_str oai:ri.conicet.gov.ar:11336/89158
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domainsAlfarhani, BassamAl-Tameemi, MahaGoicoechea, Hector CasimiroBarbosa, Fernando Jr.Campiglia, Andres D.Solid-phase extractionTime-resolved excitation emission matricesUrine analysisUPLS/RTLPAH metaboliteshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The 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.Fil: Alfarhani, Bassam. University of Florida; Estados UnidosFil: Al-Tameemi, Maha. University of Florida; Estados UnidosFil: 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; ArgentinaFil: Barbosa, Fernando Jr.. University of Florida; Estados Unidos. Universidade de Sao Paulo; BrasilFil: Campiglia, Andres D.. University of Florida; Estados UnidosElsevier Science2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/89158Alfarhani, 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; 51-610026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0026265X17305507info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2017.09.022info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:35:43Zoai:ri.conicet.gov.ar:11336/89158instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:35:43.903CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
title Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
spellingShingle Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
Alfarhani, Bassam
Solid-phase extraction
Time-resolved excitation emission matrices
Urine analysis
UPLS/RTL
PAH metabolites
title_short Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
title_full Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
title_fullStr Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
title_full_unstemmed Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
title_sort Direct analysis of benzo[a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains
dc.creator.none.fl_str_mv Alfarhani, Bassam
Al-Tameemi, Maha
Goicoechea, Hector Casimiro
Barbosa, Fernando Jr.
Campiglia, Andres D.
author Alfarhani, Bassam
author_facet Alfarhani, Bassam
Al-Tameemi, Maha
Goicoechea, Hector Casimiro
Barbosa, Fernando Jr.
Campiglia, Andres D.
author_role author
author2 Al-Tameemi, Maha
Goicoechea, Hector Casimiro
Barbosa, Fernando Jr.
Campiglia, Andres D.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Solid-phase extraction
Time-resolved excitation emission matrices
Urine analysis
UPLS/RTL
PAH metabolites
topic Solid-phase extraction
Time-resolved excitation emission matrices
Urine analysis
UPLS/RTL
PAH metabolites
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Alfarhani, Bassam. University of Florida; Estados Unidos
Fil: Al-Tameemi, Maha. University of Florida; Estados Unidos
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
Fil: Barbosa, Fernando Jr.. University of Florida; Estados Unidos. Universidade de Sao Paulo; Brasil
Fil: Campiglia, Andres D.. University of Florida; Estados Unidos
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/89158
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
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/89158
identifier_str_mv 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
0026-265X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0026265X17305507
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2017.09.022
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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