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Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)

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Resumo:The quantification of pollutants, as pharmaceuticals, in wastewater is an issue of special concern. Usually, typical methods to quantify these products are time and reagent consuming. This paper describes the development and validation of a Fourier transform near-infrared (FT-NIR) spectroscopy methodology for the quantification of pharmaceuticals in wastewaters. For this purpose, 276 samples obtained from an activated sludge wastewater treatment process were analyzed in the range of 200 cm1 to 14000 cm1, and further treated by chemometric techniques to develop and validate the quantification models. The obtained results were found adequate for the prediction of ibuprofen, sulfamethoxazole, 17-estradiol and carbamazepine with coefficients of determination (R2) around 0.95 and residual prediction deviation (RPD) values above four, for the overall (training and validation) data points. These results are very promising and confirm that this technology can be seen as an alternative for the quantification of pharmaceuticals in wastewater.
Autores principais:Quintelas, Cristina
Outros Autores:Mesquita, Daniela P.; Ferreira, Eugénio C.; Amaral, A. Luís
Assunto:NIR spectroscopy pharmaceuticals PCA PLS
Ano:2019
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
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author Quintelas, Cristina
author2 Mesquita, Daniela P.
Ferreira, Eugénio C.
Amaral, A. Luís
author2_role author
author
author
author_facet Quintelas, Cristina
Mesquita, Daniela P.
Ferreira, Eugénio C.
Amaral, A. Luís
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_str [{\"Person.name\":\"Quintelas, Cristina\"},{\"Person.name\":\"Mesquita, Daniela P.\"},{\"Person.name\":\"Ferreira, Eugénio C.\"},{\"Person.name\":\"Amaral, A. Luís\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Quintelas, Cristina
Mesquita, Daniela P.
Ferreira, Eugénio C.
Amaral, A. Luís
datacite.date.Accepted.fl_str_mv 2019-03-01T00:00:00Z
datacite.date.available.fl_str_mv 2018-11-12T10:49:17Z
datacite.date.embargoed.fl_str_mv 2018-11-12T10:49:17Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv NIR spectroscopy
pharmaceuticals
PCA
PLS
datacite.titles.title.fl_str_mv Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Quintelas, Cristina
Mesquita, Daniela P.
Ferreira, Eugénio C.
Amaral, A. Luís
dc.date.Accepted.fl_str_mv 2019-03-01T00:00:00Z
dc.date.available.fl_str_mv 2018-11-12T10:49:17Z
dc.date.embargoed.fl_str_mv 2018-11-12T10:49:17Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/56905
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv NIR spectroscopy
pharmaceuticals
PCA
PLS
dc.title.fl_str_mv Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The quantification of pollutants, as pharmaceuticals, in wastewater is an issue of special concern. Usually, typical methods to quantify these products are time and reagent consuming. This paper describes the development and validation of a Fourier transform near-infrared (FT-NIR) spectroscopy methodology for the quantification of pharmaceuticals in wastewaters. For this purpose, 276 samples obtained from an activated sludge wastewater treatment process were analyzed in the range of 200 cm1 to 14000 cm1, and further treated by chemometric techniques to develop and validate the quantification models. The obtained results were found adequate for the prediction of ibuprofen, sulfamethoxazole, 17-estradiol and carbamazepine with coefficients of determination (R2) around 0.95 and residual prediction deviation (RPD) values above four, for the overall (training and validation) data points. These results are very promising and confirm that this technology can be seen as an alternative for the quantification of pharmaceuticals in wastewater.
dirty 0
eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://prod-dspace.uminho.pt/bitstreams/99aa5503-0453-4467-8dc6-96a5e53b5a7d/download
id rum_3fee00a2daaa4affc336a887cfd6701b
identifier.url.fl_str_mv https://hdl.handle.net/1822/56905
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/56905
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Quintelas, Cristina
Mesquita, Daniela P.
Ferreira, Eugénio C.
Amaral, A. Luís
publishDate 2019
publisher.none.fl_str_mv Elsevier
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engElsevierporThe quantification of pollutants, as pharmaceuticals, in wastewater is an issue of special concern. Usually, typical methods to quantify these products are time and reagent consuming. This paper describes the development and validation of a Fourier transform near-infrared (FT-NIR) spectroscopy methodology for the quantification of pharmaceuticals in wastewaters. For this purpose, 276 samples obtained from an activated sludge wastewater treatment process were analyzed in the range of 200 cm1 to 14000 cm1, and further treated by chemometric techniques to develop and validate the quantification models. The obtained results were found adequate for the prediction of ibuprofen, sulfamethoxazole, 17-estradiol and carbamazepine with coefficients of determination (R2) around 0.95 and residual prediction deviation (RPD) values above four, for the overall (training and validation) data points. These results are very promising and confirm that this technology can be seen as an alternative for the quantification of pharmaceuticals in wastewater.application/pdfporQuantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)Quintelas, CristinaMesquita, Daniela P.Ferreira, Eugénio C.Amaral, A. LuísHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf0039-9140DOIIsPartOf10.1016/j.talanta.2018.10.0762018-11-12T10:49:17Z2019-032018-11-10T12:43:05Z2019-03-01T00:00:00ZHandlehttps://hdl.handle.net/1822/56905http://purl.org/coar/access_right/c_abf2open accessNIR spectroscopypharmaceuticalsPCAPLS2514219 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/99aa5503-0453-4467-8dc6-96a5e53b5a7d/download
spellingShingle Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
Quintelas, Cristina
NIR spectroscopy
pharmaceuticals
PCA
PLS
subject.fl_str_mv NIR spectroscopy
pharmaceuticals
PCA
PLS
title Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
title_full Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
title_fullStr Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
title_full_unstemmed Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
title_short Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
title_sort Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
topic NIR spectroscopy
pharmaceuticals
PCA
PLS
topic_facet NIR spectroscopy
pharmaceuticals
PCA
PLS
url https://hdl.handle.net/1822/56905
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