Manual or automated measuring of antipsychotics chemical oxygen demand

Detalhes bibliográficos
Autor(a) principal: Pereira, Sarah
Data de Publicação: 2018
Outros Autores: Costa, Susana, Cunha, Edite, Passos, Marieta, Araújo, André, Saraiva, M. Lúcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10314/4138
https://doi.org/doi.org/10.1016/j.ecoenv.2018.01.023
Resumo: Antipsychotic (AP) drugs are becoming accumulated in terrestrial and aqueous resources due to their actual consumption. Thus, the search of methods for assessing the contamination load of these drugs is mandatory. The COD is a key parameter used for monitoring water quality upon the assessment of the effect of polluting agents on the oxygen level. Thus, the present work aims to assess the chemical oxygen demand (COD) levels of several typical and atypical antipsychotic drugs in order to obtain structure-activity relationships. It was implemented the titrimetric method with potassium dichromate as oxidant and a digestion step of 2 h, followed by the measurement of remained unreduced dichromate by titration. After that, an automated sequential injection analysis (SIA) method was, also, used aiming to overcome some drawbacks of the titrimetric method. The results obtained showed a relationship between the chemical structures of antipsychotic drugs and their COD values, where the presence of aromatic rings and oxidable groups give higher COD values. It was obtained a good compliance between the results of the reference batch procedure and the SIA system, and the APs were clustered in two groups, with the values ratio between the methodologies, of 2 or 4, in the case of lower or higher COD values, respectively. The SIA methodology is capable of operating as a screening method, in any stage of a synthetic process, being also more environmentally friendly, and cost-effective. Besides, the studies presented open promising perspectives for the improvement of the effectiveness of pharmaceutical removal from the waste effluents, by assessing COD values.
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spelling Manual or automated measuring of antipsychotics chemical oxygen demandAntipsychotic drugs Chemical oxygen demand (COD) Titrimetric method Sequential Injection Analysis (SIA) Structure-degradability relationship Environmental pollutionAntipsychotic (AP) drugs are becoming accumulated in terrestrial and aqueous resources due to their actual consumption. Thus, the search of methods for assessing the contamination load of these drugs is mandatory. The COD is a key parameter used for monitoring water quality upon the assessment of the effect of polluting agents on the oxygen level. Thus, the present work aims to assess the chemical oxygen demand (COD) levels of several typical and atypical antipsychotic drugs in order to obtain structure-activity relationships. It was implemented the titrimetric method with potassium dichromate as oxidant and a digestion step of 2 h, followed by the measurement of remained unreduced dichromate by titration. After that, an automated sequential injection analysis (SIA) method was, also, used aiming to overcome some drawbacks of the titrimetric method. The results obtained showed a relationship between the chemical structures of antipsychotic drugs and their COD values, where the presence of aromatic rings and oxidable groups give higher COD values. It was obtained a good compliance between the results of the reference batch procedure and the SIA system, and the APs were clustered in two groups, with the values ratio between the methodologies, of 2 or 4, in the case of lower or higher COD values, respectively. The SIA methodology is capable of operating as a screening method, in any stage of a synthetic process, being also more environmentally friendly, and cost-effective. Besides, the studies presented open promising perspectives for the improvement of the effectiveness of pharmaceutical removal from the waste effluents, by assessing COD values.2018-07-18T16:04:28Z2018-07-182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10314/4138http://hdl.handle.net/10314/4138https://doi.org/doi.org/10.1016/j.ecoenv.2018.01.023engPereira, SarahCosta, SusanaCunha, EditePassos, MarietaAraújo, AndréSaraiva, M. Lúciainfo: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:RCAAP2024-01-14T02:57:57Zoai:bdigital.ipg.pt:10314/4138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:43:15.754046Repositório 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 Manual or automated measuring of antipsychotics chemical oxygen demand
title Manual or automated measuring of antipsychotics chemical oxygen demand
spellingShingle Manual or automated measuring of antipsychotics chemical oxygen demand
Pereira, Sarah
Antipsychotic drugs Chemical oxygen demand (COD) Titrimetric method Sequential Injection Analysis (SIA) Structure-degradability relationship Environmental pollution
title_short Manual or automated measuring of antipsychotics chemical oxygen demand
title_full Manual or automated measuring of antipsychotics chemical oxygen demand
title_fullStr Manual or automated measuring of antipsychotics chemical oxygen demand
title_full_unstemmed Manual or automated measuring of antipsychotics chemical oxygen demand
title_sort Manual or automated measuring of antipsychotics chemical oxygen demand
author Pereira, Sarah
author_facet Pereira, Sarah
Costa, Susana
Cunha, Edite
Passos, Marieta
Araújo, André
Saraiva, M. Lúcia
author_role author
author2 Costa, Susana
Cunha, Edite
Passos, Marieta
Araújo, André
Saraiva, M. Lúcia
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pereira, Sarah
Costa, Susana
Cunha, Edite
Passos, Marieta
Araújo, André
Saraiva, M. Lúcia
dc.subject.por.fl_str_mv Antipsychotic drugs Chemical oxygen demand (COD) Titrimetric method Sequential Injection Analysis (SIA) Structure-degradability relationship Environmental pollution
topic Antipsychotic drugs Chemical oxygen demand (COD) Titrimetric method Sequential Injection Analysis (SIA) Structure-degradability relationship Environmental pollution
description Antipsychotic (AP) drugs are becoming accumulated in terrestrial and aqueous resources due to their actual consumption. Thus, the search of methods for assessing the contamination load of these drugs is mandatory. The COD is a key parameter used for monitoring water quality upon the assessment of the effect of polluting agents on the oxygen level. Thus, the present work aims to assess the chemical oxygen demand (COD) levels of several typical and atypical antipsychotic drugs in order to obtain structure-activity relationships. It was implemented the titrimetric method with potassium dichromate as oxidant and a digestion step of 2 h, followed by the measurement of remained unreduced dichromate by titration. After that, an automated sequential injection analysis (SIA) method was, also, used aiming to overcome some drawbacks of the titrimetric method. The results obtained showed a relationship between the chemical structures of antipsychotic drugs and their COD values, where the presence of aromatic rings and oxidable groups give higher COD values. It was obtained a good compliance between the results of the reference batch procedure and the SIA system, and the APs were clustered in two groups, with the values ratio between the methodologies, of 2 or 4, in the case of lower or higher COD values, respectively. The SIA methodology is capable of operating as a screening method, in any stage of a synthetic process, being also more environmentally friendly, and cost-effective. Besides, the studies presented open promising perspectives for the improvement of the effectiveness of pharmaceutical removal from the waste effluents, by assessing COD values.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-18T16:04:28Z
2018-07-18
2018-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10314/4138
http://hdl.handle.net/10314/4138
https://doi.org/doi.org/10.1016/j.ecoenv.2018.01.023
url http://hdl.handle.net/10314/4138
https://doi.org/doi.org/10.1016/j.ecoenv.2018.01.023
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