Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) |
Texto Completo: | https://periodicos.ufsm.br/reget/article/view/62663 |
Resumo: | The occurrence of emerging contaminants is a growing concern in the environmental scenario due to their potential risks to ecosystems. The technologies employed in the treatment of sewage in Brazil are not efficient in removing micropollutants, especially persistent ones. Antidepressants (a class of drugs belonging to emerging contaminants) can reach the environment through the disposal of domestic and industrial effluents. These substances were detected in studies with surface waters, being able to cause changes and accumulate in aquatic organisms. The occurrence and impacts of this class of pollutant are still poorly studied in the country. Thus, there is a need to carry out environmental monitoring. To meet such a goal, scientific advances must be developed, especially those related to the development of analytical skills, equipment, and methods with the necessary sensitivity to research in the different sources of contamination. Accordingly, with the development of analytical techniques, it is possible to determine antidepressant drugs in environmental and / or biological matrices in increasingly small concentrations. Consequently, optimization of current techniques and proposing new ones are crucial before any other actions. The aim of this study was to validate a rapid methodology for determining the presence of four antidepressants - fluoxetine, citalopram, venlafaxine, and sertraline - in fresh water through high performance liquid chromatography. The method involved solid-phase extraction (SPE) with C18 cartridge and quantification by high performance liquid chromatography coupled to a diode array detector with C8 column. No chromatographic interference was observed in the retention time of the antidepressants in this study at the selected wavelength of 235 nm. The study matrix did not interfere in the analyses. Linearity was adequate for the range from 0.5 to 10 µg mL-1, with limits of detection and quantification of 0.03 to 0.09 µg mL-1 and 0.10 to 0.27 µg mL-1 respectively. Accuracy was assessed by testing sample fortification at three concentration levels and estimated by relative standard deviation (RSD). RSD values below 15% were obtained. The recovery interval ranged from 49 to 102%. The analytical method was validated and considered satisfactory for the simultaneous determination of antidepressants in freshwater samples using a C8 column. |
id |
UFSM-15_7db214b0ca97160b986610b20a243f6a |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/62663 |
network_acronym_str |
UFSM-15 |
network_name_str |
Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) |
repository_id_str |
|
spelling |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatographyOtimização de metodologia para determinação simultânea de quatro antidepressivos presentes em água doce por cromatografia líquida de alta eficiênciaEmerging pollutantsAnalytical validationMonitoringPoluentes emergentesValidação analíticaMonitoramentoThe occurrence of emerging contaminants is a growing concern in the environmental scenario due to their potential risks to ecosystems. The technologies employed in the treatment of sewage in Brazil are not efficient in removing micropollutants, especially persistent ones. Antidepressants (a class of drugs belonging to emerging contaminants) can reach the environment through the disposal of domestic and industrial effluents. These substances were detected in studies with surface waters, being able to cause changes and accumulate in aquatic organisms. The occurrence and impacts of this class of pollutant are still poorly studied in the country. Thus, there is a need to carry out environmental monitoring. To meet such a goal, scientific advances must be developed, especially those related to the development of analytical skills, equipment, and methods with the necessary sensitivity to research in the different sources of contamination. Accordingly, with the development of analytical techniques, it is possible to determine antidepressant drugs in environmental and / or biological matrices in increasingly small concentrations. Consequently, optimization of current techniques and proposing new ones are crucial before any other actions. The aim of this study was to validate a rapid methodology for determining the presence of four antidepressants - fluoxetine, citalopram, venlafaxine, and sertraline - in fresh water through high performance liquid chromatography. The method involved solid-phase extraction (SPE) with C18 cartridge and quantification by high performance liquid chromatography coupled to a diode array detector with C8 column. No chromatographic interference was observed in the retention time of the antidepressants in this study at the selected wavelength of 235 nm. The study matrix did not interfere in the analyses. Linearity was adequate for the range from 0.5 to 10 µg mL-1, with limits of detection and quantification of 0.03 to 0.09 µg mL-1 and 0.10 to 0.27 µg mL-1 respectively. Accuracy was assessed by testing sample fortification at three concentration levels and estimated by relative standard deviation (RSD). RSD values below 15% were obtained. The recovery interval ranged from 49 to 102%. The analytical method was validated and considered satisfactory for the simultaneous determination of antidepressants in freshwater samples using a C8 column.A ocorrência de contaminantes emergentes é uma preocupação crescente no cenário ambiental, tendo em vista os riscos em potenciais sobre os ecossistemas. As tecnologias empregadas no tratamento de esgotos no Brasil não são eficientes na remoção de micropoluentes, em especial os persistentes. Os antidepressivos (uma classe de fármacos pertencentes aos contaminantes emergentes) podem chegar ao meio ambiente por meio do descarte de efluentes domésticos e industriais. Essas substâncias foram detectadas em estudos com águas superficiais, sendo capazes de provocar alterações e se acumularem em organismos aquáticos. A ocorrência e os impactos dessa classe de poluente ainda são pouco estudados no país. Há uma necessidade de realizar o monitoramento ambiental. Para tal, avanços científicos devem ser elaborados, especialmente aqueles ligados ao desenvolvimento de competências analíticas, equipamentos e métodos com a sensibilidade necessária à investigação nos diferentes focos de contaminação. Assim, com a elaboração de técnicas analíticas é viável a determinação fármacos antidepressivos em matrizes ambientais e/ou biológicas em concentrações cada vez menores. Dessa forma, a otimização e a proposição de novas técnicas são fundamentais antes de quaisquer outras ações. O objetivo deste estudo foi efetuar uma validação de metodologia rápida para determinação de quatro antidepressivos - fluoxetina, citalopram, venlafaxina e sertralina – em água doce utilizando cromatografia líquida de alta eficiência. Foi utilizado o método de extração em fase sólida (SPE) com cartucho C18 e cromatografia líquida acoplada detector arranjo de diodos com coluna C8. Não foi observada interferência cromatográfica no tempo de retenção dos antidepressivos deste estudo no comprimento de onda selecionado de 235 nm. A matriz do estudo não interferiu nas análises. A linearidade foi adequada para a faixa de 0,5 a 10 µg mL-1, com limites de detecção e quantificação de 0,03 a 0,09 µg mL-1 e de 0,10 a 0,27 µg mL-1, respectivamente. A precisão foi avaliada testando a fortificação das amostras em três níveis de concentração, e estimada pelo desvio padrão relativo (DPR), foi obtido valores de DPR abaixo de 15%. O intervalo de recuperação variou de 49 a 102%. O método analítico foi validado e considerado satisfatório para a determinação simultânea de antidepressivos em amostras de água doce utilizando uma coluna C8.Universidade Federal de Santa Maria2022-07-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufsm.br/reget/article/view/6266310.5902/2236117062663Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; Vol. 24 (2020): Special Edition 10 years: Advances in environmental engineering; e8Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; v. 24 (2020): Edição Especial 10 Anos REGET: Avanços na Engenharia Ambiental; e82236-11702236-1170reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/reget/article/view/62663/pdfhttps://periodicos.ufsm.br/reget/article/view/62663/htmlCopyright (c) 2020 Revista Eletrônica em Gestão, Educação e Tecnologia Ambientalhttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessEvagelista, Patrícia AlexandreVilca, Franz ZirenaPimpinato, Rodrigo FlorianoTornisielo, Valdemar Luiz2022-07-28T18:55:03Zoai:ojs.pkp.sfu.ca:article/62663Revistahttps://periodicos.ufsm.br/regetPUBhttps://periodicos.ufsm.br/reget/oaimarcelobdarosa@gmail.com||reget.ufsm@gmail.com2236-11702236-1170opendoar:2022-07-28T18:55:03Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography Otimização de metodologia para determinação simultânea de quatro antidepressivos presentes em água doce por cromatografia líquida de alta eficiência |
title |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
spellingShingle |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography Evagelista, Patrícia Alexandre Emerging pollutants Analytical validation Monitoring Poluentes emergentes Validação analítica Monitoramento |
title_short |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
title_full |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
title_fullStr |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
title_full_unstemmed |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
title_sort |
Optimization of a methodology for simultaneous determination of four antidepressants present in fresh water by high efficiency liquid chromatography |
author |
Evagelista, Patrícia Alexandre |
author_facet |
Evagelista, Patrícia Alexandre Vilca, Franz Zirena Pimpinato, Rodrigo Floriano Tornisielo, Valdemar Luiz |
author_role |
author |
author2 |
Vilca, Franz Zirena Pimpinato, Rodrigo Floriano Tornisielo, Valdemar Luiz |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Evagelista, Patrícia Alexandre Vilca, Franz Zirena Pimpinato, Rodrigo Floriano Tornisielo, Valdemar Luiz |
dc.subject.por.fl_str_mv |
Emerging pollutants Analytical validation Monitoring Poluentes emergentes Validação analítica Monitoramento |
topic |
Emerging pollutants Analytical validation Monitoring Poluentes emergentes Validação analítica Monitoramento |
description |
The occurrence of emerging contaminants is a growing concern in the environmental scenario due to their potential risks to ecosystems. The technologies employed in the treatment of sewage in Brazil are not efficient in removing micropollutants, especially persistent ones. Antidepressants (a class of drugs belonging to emerging contaminants) can reach the environment through the disposal of domestic and industrial effluents. These substances were detected in studies with surface waters, being able to cause changes and accumulate in aquatic organisms. The occurrence and impacts of this class of pollutant are still poorly studied in the country. Thus, there is a need to carry out environmental monitoring. To meet such a goal, scientific advances must be developed, especially those related to the development of analytical skills, equipment, and methods with the necessary sensitivity to research in the different sources of contamination. Accordingly, with the development of analytical techniques, it is possible to determine antidepressant drugs in environmental and / or biological matrices in increasingly small concentrations. Consequently, optimization of current techniques and proposing new ones are crucial before any other actions. The aim of this study was to validate a rapid methodology for determining the presence of four antidepressants - fluoxetine, citalopram, venlafaxine, and sertraline - in fresh water through high performance liquid chromatography. The method involved solid-phase extraction (SPE) with C18 cartridge and quantification by high performance liquid chromatography coupled to a diode array detector with C8 column. No chromatographic interference was observed in the retention time of the antidepressants in this study at the selected wavelength of 235 nm. The study matrix did not interfere in the analyses. Linearity was adequate for the range from 0.5 to 10 µg mL-1, with limits of detection and quantification of 0.03 to 0.09 µg mL-1 and 0.10 to 0.27 µg mL-1 respectively. Accuracy was assessed by testing sample fortification at three concentration levels and estimated by relative standard deviation (RSD). RSD values below 15% were obtained. The recovery interval ranged from 49 to 102%. The analytical method was validated and considered satisfactory for the simultaneous determination of antidepressants in freshwater samples using a C8 column. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/reget/article/view/62663 10.5902/2236117062663 |
url |
https://periodicos.ufsm.br/reget/article/view/62663 |
identifier_str_mv |
10.5902/2236117062663 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/reget/article/view/62663/pdf https://periodicos.ufsm.br/reget/article/view/62663/html |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental http://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental http://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; Vol. 24 (2020): Special Edition 10 years: Advances in environmental engineering; e8 Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; v. 24 (2020): Edição Especial 10 Anos REGET: Avanços na Engenharia Ambiental; e8 2236-1170 2236-1170 reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) |
collection |
Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) |
repository.name.fl_str_mv |
Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
marcelobdarosa@gmail.com||reget.ufsm@gmail.com |
_version_ |
1799950577816305664 |