Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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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:29462024-08-05T18:07:58.848628Repositório 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 |
|
_version_ |
1808128899100442624 |