Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS

Wastewaters are considered one of the main sources of pollution in the aquatic environment as release a large number of contaminants every day. Emerging contaminants such as pharmaceuticals have special interest due to the high levels of consumption by the global population, their bioactive properti...

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Detalhes bibliográficos
Autores: Gómez-Canela, Cristian, Edo, Silvia, Rodríguez, Natalia, GOTOR, GEMMA, Lacorte, Sílvia
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Ramon Llull (URL)
Repositorio:DAU Arxiu Digital de la Universitat Ramon Llull
OAI Identifier:oai:dau.url.edu:20.500.14342/4409
Acesso em linha:https://hdl.handle.net/20.500.14342/4409
https://doi.org/10.3390/chemosensors9100273
Access Level:acceso abierto
Palavra-chave:Pharmaceuticals
Metabolites
Metabòlits
Wastewater
LC-MS/MS
Aigües residuals
628
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spelling Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MSGómez-Canela, CristianEdo, SilviaRodríguez, NataliaGOTOR, GEMMALacorte, SílviaPharmaceuticalsMetabolitesMetabòlitsWastewaterLC-MS/MSAigües residualsAigües residuals628Wastewaters are considered one of the main sources of pollution in the aquatic environment as release a large number of contaminants every day. Emerging contaminants such as pharmaceuticals have special interest due to the high levels of consumption by the global population, their bioactive properties and because actual directives do not include the monitoring of pharmaceuticals. Moreover, it is well-known that pharmaceuticals can be degraded to metabolites or transformation products (TPs), which could be more toxic than the parental compound. In this study, we have developed an analytical method based on solid-phase extraction (SPE) and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) to determine 76 highly consumed pharmaceuticals, including metabolites and TPs in wastewater effluents. In the 10 wastewaters analysed, the mean concentrations were in the µg L−1 levels, being mycophenolic acid, levodopa, ibuprofen, 4-aminoantypirine, losartan, amylmetacresol, amoxicillin, fluticasone, tramadol, budesonide, chlorpheniramine and diclofenac the pharmaceuticals with the highest concentrations. This study provides a comprehensive optimization on the MS conditions to determine pharmaceutical compounds and their metabolites and provides a spectral characterization to be used for the identification of these compounds in water.info:eu-repo/semantics/publishedVersionMDPIUniversitat Ramon Llull. IQS202420242021info:eu-repo/semantics/article19 p.application/pdfhttps://hdl.handle.net/20.500.14342/4409https://doi.org/10.3390/chemosensors9100273reponame:DAU Arxiu Digital de la Universitat Ramon Llullinstname:Universitat Ramon Llull (URL)InglésChemosensors© L'autor/aAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dau.url.edu:20.500.14342/44092026-06-21T06:40:37Z
dc.title.none.fl_str_mv Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
title Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
spellingShingle Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
Gómez-Canela, Cristian
Pharmaceuticals
Metabolites
Metabòlits
Wastewater
LC-MS/MS
Aigües residuals
Aigües residuals
628
title_short Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
title_full Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
title_fullStr Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
title_full_unstemmed Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
title_sort Comprehensive Characterization of 76 Pharmaceuticals and Metabolites in Wastewater by LC-MS/MS
dc.creator.none.fl_str_mv Gómez-Canela, Cristian
Edo, Silvia
Rodríguez, Natalia
GOTOR, GEMMA
Lacorte, Sílvia
author Gómez-Canela, Cristian
author_facet Gómez-Canela, Cristian
Edo, Silvia
Rodríguez, Natalia
GOTOR, GEMMA
Lacorte, Sílvia
author_role author
author2 Edo, Silvia
Rodríguez, Natalia
GOTOR, GEMMA
Lacorte, Sílvia
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universitat Ramon Llull. IQS
dc.subject.none.fl_str_mv Pharmaceuticals
Metabolites
Metabòlits
Wastewater
LC-MS/MS
Aigües residuals
Aigües residuals
628
topic Pharmaceuticals
Metabolites
Metabòlits
Wastewater
LC-MS/MS
Aigües residuals
Aigües residuals
628
description Wastewaters are considered one of the main sources of pollution in the aquatic environment as release a large number of contaminants every day. Emerging contaminants such as pharmaceuticals have special interest due to the high levels of consumption by the global population, their bioactive properties and because actual directives do not include the monitoring of pharmaceuticals. Moreover, it is well-known that pharmaceuticals can be degraded to metabolites or transformation products (TPs), which could be more toxic than the parental compound. In this study, we have developed an analytical method based on solid-phase extraction (SPE) and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) to determine 76 highly consumed pharmaceuticals, including metabolites and TPs in wastewater effluents. In the 10 wastewaters analysed, the mean concentrations were in the µg L−1 levels, being mycophenolic acid, levodopa, ibuprofen, 4-aminoantypirine, losartan, amylmetacresol, amoxicillin, fluticasone, tramadol, budesonide, chlorpheniramine and diclofenac the pharmaceuticals with the highest concentrations. This study provides a comprehensive optimization on the MS conditions to determine pharmaceutical compounds and their metabolites and provides a spectral characterization to be used for the identification of these compounds in water.
publishDate 2021
dc.date.none.fl_str_mv 2021
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14342/4409
https://doi.org/10.3390/chemosensors9100273
url https://hdl.handle.net/20.500.14342/4409
https://doi.org/10.3390/chemosensors9100273
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Chemosensors
dc.rights.none.fl_str_mv © L'autor/a
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © L'autor/a
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 19 p.
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:DAU Arxiu Digital de la Universitat Ramon Llull
instname:Universitat Ramon Llull (URL)
instname_str Universitat Ramon Llull (URL)
reponame_str DAU Arxiu Digital de la Universitat Ramon Llull
collection DAU Arxiu Digital de la Universitat Ramon Llull
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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