Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Pharmaceutical Sciences |
Texto Completo: | https://www.revistas.usp.br/bjps/article/view/205007 |
Resumo: | Thiazolidinedione, often shortened to TZD or glitazone, helps lower insulin resistance, which is the underlying problem for many people with type 2 diabetes. The two most known glitazones are pioglitazone (PGZ), with the brand name medicine Actos®, and rosiglitazone (RSG), which is Avandia®. This study presented a multivariate optimization in the microextraction procedure employing Fractional Factorial Design (FFD) combined with Desirability Function (DF) to determine TZD and metabolites in biological samples. Microextraction requires several parameters to be optimized; however, most of them still use univariate optimization. Finding optimum conditions by simple response is relatively simple, but the problems, in case of microextractions, are often more complex when it has more responses. For example, changing one factor that promotes one response may suppress the effect of the others. Thus, this multivariate optimization was applied for two bioanalytical methods for determination of TZD and metabolites, one by HPLC and other by CE, both using Hollow Fiber Liquid-Phase Microextraction (HF-LPME). The results establish the optimal values and elucidate how the factors that affect HF-LPME procedure perform in extraction efficiency for TZDs. Additionally, this study demonstrates that DF can be an important tool to optimize microextraction procedures. |
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Brazilian Journal of Pharmaceutical Sciences |
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Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPMEGlitazonesHollow-fiber liquid-phase microextractionFractional Factorial DesignDesirability FunctionThiazolidinedione, often shortened to TZD or glitazone, helps lower insulin resistance, which is the underlying problem for many people with type 2 diabetes. The two most known glitazones are pioglitazone (PGZ), with the brand name medicine Actos®, and rosiglitazone (RSG), which is Avandia®. This study presented a multivariate optimization in the microextraction procedure employing Fractional Factorial Design (FFD) combined with Desirability Function (DF) to determine TZD and metabolites in biological samples. Microextraction requires several parameters to be optimized; however, most of them still use univariate optimization. Finding optimum conditions by simple response is relatively simple, but the problems, in case of microextractions, are often more complex when it has more responses. For example, changing one factor that promotes one response may suppress the effect of the others. Thus, this multivariate optimization was applied for two bioanalytical methods for determination of TZD and metabolites, one by HPLC and other by CE, both using Hollow Fiber Liquid-Phase Microextraction (HF-LPME). The results establish the optimal values and elucidate how the factors that affect HF-LPME procedure perform in extraction efficiency for TZDs. Additionally, this study demonstrates that DF can be an important tool to optimize microextraction procedures.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2022-12-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/20500710.1590/s2175-97902022e19049 Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)2175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/205007/194505Copyright (c) 2022 Brazilian Journal of Pharmaceutical Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantiago Silva, MatheusSteinhorst Calixto, Greyce Kelly Lourenço, Felipe Rebello Oliveira, Débora CristinaCalixto, Leandro Augusto2023-05-26T13:19:00Zoai:revistas.usp.br:article/205007Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2023-05-26T13:19Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
title |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
spellingShingle |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME Santiago Silva, Matheus Glitazones Hollow-fiber liquid-phase microextraction Fractional Factorial Design Desirability Function |
title_short |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
title_full |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
title_fullStr |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
title_full_unstemmed |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
title_sort |
Desirability Function in analytical method development for determination of glitazones and metabolites employing HF-LPME |
author |
Santiago Silva, Matheus |
author_facet |
Santiago Silva, Matheus Steinhorst Calixto, Greyce Kelly Lourenço, Felipe Rebello Oliveira, Débora Cristina Calixto, Leandro Augusto |
author_role |
author |
author2 |
Steinhorst Calixto, Greyce Kelly Lourenço, Felipe Rebello Oliveira, Débora Cristina Calixto, Leandro Augusto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santiago Silva, Matheus Steinhorst Calixto, Greyce Kelly Lourenço, Felipe Rebello Oliveira, Débora Cristina Calixto, Leandro Augusto |
dc.subject.por.fl_str_mv |
Glitazones Hollow-fiber liquid-phase microextraction Fractional Factorial Design Desirability Function |
topic |
Glitazones Hollow-fiber liquid-phase microextraction Fractional Factorial Design Desirability Function |
description |
Thiazolidinedione, often shortened to TZD or glitazone, helps lower insulin resistance, which is the underlying problem for many people with type 2 diabetes. The two most known glitazones are pioglitazone (PGZ), with the brand name medicine Actos®, and rosiglitazone (RSG), which is Avandia®. This study presented a multivariate optimization in the microextraction procedure employing Fractional Factorial Design (FFD) combined with Desirability Function (DF) to determine TZD and metabolites in biological samples. Microextraction requires several parameters to be optimized; however, most of them still use univariate optimization. Finding optimum conditions by simple response is relatively simple, but the problems, in case of microextractions, are often more complex when it has more responses. For example, changing one factor that promotes one response may suppress the effect of the others. Thus, this multivariate optimization was applied for two bioanalytical methods for determination of TZD and metabolites, one by HPLC and other by CE, both using Hollow Fiber Liquid-Phase Microextraction (HF-LPME). The results establish the optimal values and elucidate how the factors that affect HF-LPME procedure perform in extraction efficiency for TZDs. Additionally, this study demonstrates that DF can be an important tool to optimize microextraction procedures. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-19 |
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://www.revistas.usp.br/bjps/article/view/205007 10.1590/s2175-97902022e19049 |
url |
https://www.revistas.usp.br/bjps/article/view/205007 |
identifier_str_mv |
10.1590/s2175-97902022e19049 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/bjps/article/view/205007/194505 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
dc.source.none.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022) Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022) Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022) 2175-9790 1984-8250 reponame:Brazilian Journal of Pharmaceutical Sciences instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Brazilian Journal of Pharmaceutical Sciences |
collection |
Brazilian Journal of Pharmaceutical Sciences |
repository.name.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
bjps@usp.br||elizabeth.igne@gmail.com |
_version_ |
1800222916501045248 |