Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/56905 |
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. |
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Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)NIR spectroscopypharmaceuticalsPCAPLSScience & TechnologyThe 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.The authors thank the Portuguese Foundation for Science and Technology(FCT)under the scope of the strategic funding of UID/BIO/04469 unit, COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. The authors also acknowledge the financial support to Cristina Quintelas through the postdoctoral grant (SFRH/BPD/101338/2014) provided by FCT – Portugal.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoQuintelas, CristinaMesquita, Daniela P.Ferreira, Eugénio C.Amaral, A. Luís2019-032019-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/56905engQuintelas, Cristina; Mesquita, Daniela P.; Ferreira, Eugénio C.; Amaral, A. Luís, Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR). Talanta, 194, 507-513, 20190039-914010.1016/j.talanta.2018.10.07630609565http://www.journals.elsevier.com/talantainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:15:32Zoai:repositorium.sdum.uminho.pt:1822/56905Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:07:59.862670Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR) |
title |
Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR) |
spellingShingle |
Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR) Quintelas, Cristina NIR spectroscopy pharmaceuticals PCA PLS Science & Technology |
title_short |
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_sort |
Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR) |
author |
Quintelas, Cristina |
author_facet |
Quintelas, Cristina Mesquita, Daniela P. Ferreira, Eugénio C. Amaral, A. Luís |
author_role |
author |
author2 |
Mesquita, Daniela P. Ferreira, Eugénio C. Amaral, A. Luís |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Quintelas, Cristina Mesquita, Daniela P. Ferreira, Eugénio C. Amaral, A. Luís |
dc.subject.por.fl_str_mv |
NIR spectroscopy pharmaceuticals PCA PLS Science & Technology |
topic |
NIR spectroscopy pharmaceuticals PCA PLS Science & Technology |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-03 2019-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/56905 |
url |
http://hdl.handle.net/1822/56905 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Quintelas, Cristina; Mesquita, Daniela P.; Ferreira, Eugénio C.; Amaral, A. Luís, Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR). Talanta, 194, 507-513, 2019 0039-9140 10.1016/j.talanta.2018.10.076 30609565 http://www.journals.elsevier.com/talanta |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132500777238528 |