Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method

Detalhes bibliográficos
Autor(a) principal: Souza, Otávio Aguiar [UNESP]
Data de Publicação: 2018
Outros Autores: Carneiro, Renato Lajarim, Vieira, Thiago Henrick Martins [UNESP], Funari, Cristiano Soleo [UNESP], Rinaldo, Daniel [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s12161-018-1159-4
http://hdl.handle.net/11449/170584
Resumo: The process to develop a chromatographic method for fingerprinting complex matrices should be performed through a multiparameter approach that could lead to the desired separation and save environmental resources such as organic solvents and energy. In other words, this process should be pursued by employing an optimized experimental design and having a response function which takes into consideration separation parameters together with environmental parameters. Green Analytical Chemistry principles should be pursued during all steps of the research. This work presents a heuristic approach to develop a high-performance liquid chromatography method for fingerprinting an extract from leaves of Cynara scolymus L., a food plant consumed worldwide. A fractional factorial design was used to identify relevant chromatographic variables followed by a comprehensive design for optimization purposes (Doehlert design). A response function called green chromatographic fingerprinting response was employed to obtain a compromise between fingerprint quality and low environmental impact of the method. This optimized approach led to the development of a robust and green method for fingerprinting C. scolymus by HPLC-PAD. This method proved to be greener than the reference method reported in literature and compatible even with no state of art HPLC instruments because the system backpressure did not exceed 15 MPa and the column temperature was 35 °C.
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spelling Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD MethodDoehlertExperimental designGreen analytical chemistryGreen liquid chromatographyMetabolic fingerprintingOptimizationThe process to develop a chromatographic method for fingerprinting complex matrices should be performed through a multiparameter approach that could lead to the desired separation and save environmental resources such as organic solvents and energy. In other words, this process should be pursued by employing an optimized experimental design and having a response function which takes into consideration separation parameters together with environmental parameters. Green Analytical Chemistry principles should be pursued during all steps of the research. This work presents a heuristic approach to develop a high-performance liquid chromatography method for fingerprinting an extract from leaves of Cynara scolymus L., a food plant consumed worldwide. A fractional factorial design was used to identify relevant chromatographic variables followed by a comprehensive design for optimization purposes (Doehlert design). A response function called green chromatographic fingerprinting response was employed to obtain a compromise between fingerprint quality and low environmental impact of the method. This optimized approach led to the development of a robust and green method for fingerprinting C. scolymus by HPLC-PAD. This method proved to be greener than the reference method reported in literature and compatible even with no state of art HPLC instruments because the system backpressure did not exceed 15 MPa and the column temperature was 35 °C.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)School of Sciences São Paulo State University (UNESP), 14-01 Engenheiro Luiz Edmundo Carrijo Coube Ave., Vargem LimpaDepartment of Chemistry Federal University of São Carlos (UFSCar), Washington Luís highway (SP-310 km 235)School of Agricultural Sciences São Paulo State University (UNESP), 1879 Doutor José Barbosa de Barros St., Jardim ParaísoSchool of Sciences São Paulo State University (UNESP), 14-01 Engenheiro Luiz Edmundo Carrijo Coube Ave., Vargem LimpaSchool of Agricultural Sciences São Paulo State University (UNESP), 1879 Doutor José Barbosa de Barros St., Jardim ParaísoFAPESP: 2015/20639-1FAPESP: 2016/08179-9CNPq: 45398 2014-5Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Souza, Otávio Aguiar [UNESP]Carneiro, Renato LajarimVieira, Thiago Henrick Martins [UNESP]Funari, Cristiano Soleo [UNESP]Rinaldo, Daniel [UNESP]2018-12-11T16:51:34Z2018-12-11T16:51:34Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1977-1985application/pdfhttp://dx.doi.org/10.1007/s12161-018-1159-4Food Analytical Methods, v. 11, n. 7, p. 1977-1985, 2018.1936-976X1936-9751http://hdl.handle.net/11449/17058410.1007/s12161-018-1159-42-s2.0-850411145272-s2.0-85041114527.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFood Analytical Methods0,662info:eu-repo/semantics/openAccess2023-11-19T06:11:17Zoai:repositorio.unesp.br:11449/170584Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-19T06:11:17Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
title Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
spellingShingle Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
Souza, Otávio Aguiar [UNESP]
Doehlert
Experimental design
Green analytical chemistry
Green liquid chromatography
Metabolic fingerprinting
Optimization
title_short Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
title_full Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
title_fullStr Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
title_full_unstemmed Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
title_sort Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
author Souza, Otávio Aguiar [UNESP]
author_facet Souza, Otávio Aguiar [UNESP]
Carneiro, Renato Lajarim
Vieira, Thiago Henrick Martins [UNESP]
Funari, Cristiano Soleo [UNESP]
Rinaldo, Daniel [UNESP]
author_role author
author2 Carneiro, Renato Lajarim
Vieira, Thiago Henrick Martins [UNESP]
Funari, Cristiano Soleo [UNESP]
Rinaldo, Daniel [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Souza, Otávio Aguiar [UNESP]
Carneiro, Renato Lajarim
Vieira, Thiago Henrick Martins [UNESP]
Funari, Cristiano Soleo [UNESP]
Rinaldo, Daniel [UNESP]
dc.subject.por.fl_str_mv Doehlert
Experimental design
Green analytical chemistry
Green liquid chromatography
Metabolic fingerprinting
Optimization
topic Doehlert
Experimental design
Green analytical chemistry
Green liquid chromatography
Metabolic fingerprinting
Optimization
description The process to develop a chromatographic method for fingerprinting complex matrices should be performed through a multiparameter approach that could lead to the desired separation and save environmental resources such as organic solvents and energy. In other words, this process should be pursued by employing an optimized experimental design and having a response function which takes into consideration separation parameters together with environmental parameters. Green Analytical Chemistry principles should be pursued during all steps of the research. This work presents a heuristic approach to develop a high-performance liquid chromatography method for fingerprinting an extract from leaves of Cynara scolymus L., a food plant consumed worldwide. A fractional factorial design was used to identify relevant chromatographic variables followed by a comprehensive design for optimization purposes (Doehlert design). A response function called green chromatographic fingerprinting response was employed to obtain a compromise between fingerprint quality and low environmental impact of the method. This optimized approach led to the development of a robust and green method for fingerprinting C. scolymus by HPLC-PAD. This method proved to be greener than the reference method reported in literature and compatible even with no state of art HPLC instruments because the system backpressure did not exceed 15 MPa and the column temperature was 35 °C.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T16:51:34Z
2018-12-11T16:51:34Z
2018-07-01
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://dx.doi.org/10.1007/s12161-018-1159-4
Food Analytical Methods, v. 11, n. 7, p. 1977-1985, 2018.
1936-976X
1936-9751
http://hdl.handle.net/11449/170584
10.1007/s12161-018-1159-4
2-s2.0-85041114527
2-s2.0-85041114527.pdf
url http://dx.doi.org/10.1007/s12161-018-1159-4
http://hdl.handle.net/11449/170584
identifier_str_mv Food Analytical Methods, v. 11, n. 7, p. 1977-1985, 2018.
1936-976X
1936-9751
10.1007/s12161-018-1159-4
2-s2.0-85041114527
2-s2.0-85041114527.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Food Analytical Methods
0,662
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1977-1985
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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