Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach

Autores
Razuc, Mariela Fernanda; Grunhut, Marcos; Saidman, Elbio; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A green FBA method with UV detection was developed for simultaneous determination of ciprofloxacin (CIP) and dexamethasone (DEX) in ophthalmic and otic preparations. A lab-made mixing detection chamber (MDC) was designed and coupled to the spectrophotometer in order to perform the mixing of solutions and the detection in the same receptacle. Only water was used as solvent and no previous separation of the components was required. Both analytes have a strong absorption between 190 and 370 nm in aqueous medium, at pH 7. However, the spectrum of DEX is embedded in the CIP spectrum. Thus, while CIP was analyzed using univariate calibration, DEX analysis was carried out comparing partial least squares (PLS-1) and multiple linear regression (MLR). The latest required a previous variable selection step, which was performed using the genetic algorithm (GA) and the successive projections algorithm (SPA). The FBA system made it possible to automatically prepare the calibration and validation sets. The statistical parameters, in terms of relative errors of calibration and prediction, were acceptable for the determination of both CIP and DEX. Also, a comparative study of chemometric models was carried out. Commercial samples were analyzed and the obtained results are in close agreement with HPLC pharmacopeia methods. The joint interval test for the slope and the intercept was used to test for the presence of bias. There were no statistical differences between the proposed method and the reference method (α=0.05). The sample throughput was 10 h−1. The combination of automation and chemometric tools allows us to develop an environmental friendly method for the quality control of CIP and DEX in pharmaceuticals.
Fil: Razuc, Mariela Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Saidman, Elbio. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Materia
Flow-Batch Analyzer
Ciprofloxacin
Dexamethasone
Variable Selection
Green Chemistry
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5306

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network_name_str CONICET Digital (CONICET)
spelling Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approachRazuc, Mariela FernandaGrunhut, MarcosSaidman, ElbioGarrido, Mariano EnriqueFernández Band, Beatriz SusanaFlow-Batch AnalyzerCiprofloxacinDexamethasoneVariable SelectionGreen Chemistryhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A green FBA method with UV detection was developed for simultaneous determination of ciprofloxacin (CIP) and dexamethasone (DEX) in ophthalmic and otic preparations. A lab-made mixing detection chamber (MDC) was designed and coupled to the spectrophotometer in order to perform the mixing of solutions and the detection in the same receptacle. Only water was used as solvent and no previous separation of the components was required. Both analytes have a strong absorption between 190 and 370 nm in aqueous medium, at pH 7. However, the spectrum of DEX is embedded in the CIP spectrum. Thus, while CIP was analyzed using univariate calibration, DEX analysis was carried out comparing partial least squares (PLS-1) and multiple linear regression (MLR). The latest required a previous variable selection step, which was performed using the genetic algorithm (GA) and the successive projections algorithm (SPA). The FBA system made it possible to automatically prepare the calibration and validation sets. The statistical parameters, in terms of relative errors of calibration and prediction, were acceptable for the determination of both CIP and DEX. Also, a comparative study of chemometric models was carried out. Commercial samples were analyzed and the obtained results are in close agreement with HPLC pharmacopeia methods. The joint interval test for the slope and the intercept was used to test for the presence of bias. There were no statistical differences between the proposed method and the reference method (α=0.05). The sample throughput was 10 h−1. The combination of automation and chemometric tools allows us to develop an environmental friendly method for the quality control of CIP and DEX in pharmaceuticals.Fil: Razuc, Mariela Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; ArgentinaFil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; ArgentinaFil: Saidman, Elbio. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; ArgentinaFil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; ArgentinaFil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; ArgentinaElsevier2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5306Razuc, Mariela Fernanda; Grunhut, Marcos; Saidman, Elbio; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach; Elsevier; Talanta; 115; 5-2013; 314-3220039-9140enginfo:eu-repo/semantics/altIdentifier/pmid/24054597info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0039914013004001info:eu-repo/semantics/altIdentifier/doi/10.1016/j.talanta.2013.05.002info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:32Zoai:ri.conicet.gov.ar:11336/5306instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:32.634CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
title Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
spellingShingle Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
Razuc, Mariela Fernanda
Flow-Batch Analyzer
Ciprofloxacin
Dexamethasone
Variable Selection
Green Chemistry
title_short Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
title_full Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
title_fullStr Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
title_full_unstemmed Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
title_sort Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach
dc.creator.none.fl_str_mv Razuc, Mariela Fernanda
Grunhut, Marcos
Saidman, Elbio
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author Razuc, Mariela Fernanda
author_facet Razuc, Mariela Fernanda
Grunhut, Marcos
Saidman, Elbio
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author_role author
author2 Grunhut, Marcos
Saidman, Elbio
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author2_role author
author
author
author
dc.subject.none.fl_str_mv Flow-Batch Analyzer
Ciprofloxacin
Dexamethasone
Variable Selection
Green Chemistry
topic Flow-Batch Analyzer
Ciprofloxacin
Dexamethasone
Variable Selection
Green Chemistry
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A green FBA method with UV detection was developed for simultaneous determination of ciprofloxacin (CIP) and dexamethasone (DEX) in ophthalmic and otic preparations. A lab-made mixing detection chamber (MDC) was designed and coupled to the spectrophotometer in order to perform the mixing of solutions and the detection in the same receptacle. Only water was used as solvent and no previous separation of the components was required. Both analytes have a strong absorption between 190 and 370 nm in aqueous medium, at pH 7. However, the spectrum of DEX is embedded in the CIP spectrum. Thus, while CIP was analyzed using univariate calibration, DEX analysis was carried out comparing partial least squares (PLS-1) and multiple linear regression (MLR). The latest required a previous variable selection step, which was performed using the genetic algorithm (GA) and the successive projections algorithm (SPA). The FBA system made it possible to automatically prepare the calibration and validation sets. The statistical parameters, in terms of relative errors of calibration and prediction, were acceptable for the determination of both CIP and DEX. Also, a comparative study of chemometric models was carried out. Commercial samples were analyzed and the obtained results are in close agreement with HPLC pharmacopeia methods. The joint interval test for the slope and the intercept was used to test for the presence of bias. There were no statistical differences between the proposed method and the reference method (α=0.05). The sample throughput was 10 h−1. The combination of automation and chemometric tools allows us to develop an environmental friendly method for the quality control of CIP and DEX in pharmaceuticals.
Fil: Razuc, Mariela Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Grunhut, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Saidman, Elbio. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina. Universidad Nacional del Sur; Argentina
description A green FBA method with UV detection was developed for simultaneous determination of ciprofloxacin (CIP) and dexamethasone (DEX) in ophthalmic and otic preparations. A lab-made mixing detection chamber (MDC) was designed and coupled to the spectrophotometer in order to perform the mixing of solutions and the detection in the same receptacle. Only water was used as solvent and no previous separation of the components was required. Both analytes have a strong absorption between 190 and 370 nm in aqueous medium, at pH 7. However, the spectrum of DEX is embedded in the CIP spectrum. Thus, while CIP was analyzed using univariate calibration, DEX analysis was carried out comparing partial least squares (PLS-1) and multiple linear regression (MLR). The latest required a previous variable selection step, which was performed using the genetic algorithm (GA) and the successive projections algorithm (SPA). The FBA system made it possible to automatically prepare the calibration and validation sets. The statistical parameters, in terms of relative errors of calibration and prediction, were acceptable for the determination of both CIP and DEX. Also, a comparative study of chemometric models was carried out. Commercial samples were analyzed and the obtained results are in close agreement with HPLC pharmacopeia methods. The joint interval test for the slope and the intercept was used to test for the presence of bias. There were no statistical differences between the proposed method and the reference method (α=0.05). The sample throughput was 10 h−1. The combination of automation and chemometric tools allows us to develop an environmental friendly method for the quality control of CIP and DEX in pharmaceuticals.
publishDate 2013
dc.date.none.fl_str_mv 2013-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/5306
Razuc, Mariela Fernanda; Grunhut, Marcos; Saidman, Elbio; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach; Elsevier; Talanta; 115; 5-2013; 314-322
0039-9140
url http://hdl.handle.net/11336/5306
identifier_str_mv Razuc, Mariela Fernanda; Grunhut, Marcos; Saidman, Elbio; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Green method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and dexamethasone in pharmaceuticals using a chemometric approach; Elsevier; Talanta; 115; 5-2013; 314-322
0039-9140
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/pmid/24054597
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0039914013004001
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.talanta.2013.05.002
info:eu-repo/semantics/altIdentifier/doi/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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