Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array dat...

Autores
Alfonso, Sabrina; Pisano, Pablo Luis; Silva, Fabiano B.; Scaminio, Ieda S.; Olivieri, Alejandro Cesar
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Species of the Annonaceae family are used in traditional medicine, and several antitumor acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa. Leaves samples (self-shaded and sun-exposed) of these species were collected during winter and summer seasons. Extraction media were prepared from mixtures of five solvents according to a simplex centroid design. Plant extracts were analysed by injection into a high-performance liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution of chromatographic profiles could help in the discrimination of samples according to taxonomic classification, sun exposition and/or harvest season. The results indicate that extraction media containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination between Annona muricata and Rollinia mucosa extract samples.
Fil: Alfonso, Sabrina. Universidade Estadual de Londrina; Brasil. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; Argentina
Fil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Silva, Fabiano B.. Universidade Estadual de Londrina; Brasil
Fil: Scaminio, Ieda S.. Universidade Estadual de Londrina; Brasil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; Argentina
Materia
Quimica analitica
Cromatografia
Quimiometria
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6134
Acceder
id CONICETDig_d9fecdb7b4a4b97266f447f9d6c35a2d
oai_identifier_str oai:ri.conicet.gov.ar:11336/6134
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array dataAlfonso, SabrinaPisano, Pablo LuisSilva, Fabiano B.Scaminio, Ieda S.Olivieri, Alejandro CesarQuimica analiticaCromatografiaQuimiometriahttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Species of the Annonaceae family are used in traditional medicine, and several antitumor acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa. Leaves samples (self-shaded and sun-exposed) of these species were collected during winter and summer seasons. Extraction media were prepared from mixtures of five solvents according to a simplex centroid design. Plant extracts were analysed by injection into a high-performance liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution of chromatographic profiles could help in the discrimination of samples according to taxonomic classification, sun exposition and/or harvest season. The results indicate that extraction media containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination between Annona muricata and Rollinia mucosa extract samples.Fil: Alfonso, Sabrina. Universidade Estadual de Londrina; Brasil. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; ArgentinaFil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; ArgentinaFil: Silva, Fabiano B.. Universidade Estadual de Londrina; BrasilFil: Scaminio, Ieda S.. Universidade Estadual de Londrina; BrasilFil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; ArgentinaSociedade Brasileira de Química2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6134Alfonso, Sabrina; Pisano, Pablo Luis; Silva, Fabiano B.; Scaminio, Ieda S.; Olivieri, Alejandro Cesar; Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data; Sociedade Brasileira de Química; Journal of the Brazilian Chemical Society; 26; 11; 12-2015; 2241-22480103-50531678-4790enginfo:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/fthnxpinfo:eu-repo/semantics/altIdentifier/doi/10.5935/0103-5053.20150210info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:54:24Zoai:ri.conicet.gov.ar:11336/6134instacron: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:34982025-11-05 10:54:24.637CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
title Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
spellingShingle Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
Alfonso, Sabrina
Quimica analitica
Cromatografia
Quimiometria
title_short Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
title_full Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
title_fullStr Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
title_full_unstemmed Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
title_sort Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
dc.creator.none.fl_str_mv Alfonso, Sabrina
Pisano, Pablo Luis
Silva, Fabiano B.
Scaminio, Ieda S.
Olivieri, Alejandro Cesar
author Alfonso, Sabrina
author_facet Alfonso, Sabrina
Pisano, Pablo Luis
Silva, Fabiano B.
Scaminio, Ieda S.
Olivieri, Alejandro Cesar
author_role author
author2 Pisano, Pablo Luis
Silva, Fabiano B.
Scaminio, Ieda S.
Olivieri, Alejandro Cesar
author2_role author
author
author
author
dc.subject.none.fl_str_mv Quimica analitica
Cromatografia
Quimiometria
topic Quimica analitica
Cromatografia
Quimiometria
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Species of the Annonaceae family are used in traditional medicine, and several antitumor acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa. Leaves samples (self-shaded and sun-exposed) of these species were collected during winter and summer seasons. Extraction media were prepared from mixtures of five solvents according to a simplex centroid design. Plant extracts were analysed by injection into a high-performance liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution of chromatographic profiles could help in the discrimination of samples according to taxonomic classification, sun exposition and/or harvest season. The results indicate that extraction media containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination between Annona muricata and Rollinia mucosa extract samples.
Fil: Alfonso, Sabrina. Universidade Estadual de Londrina; Brasil. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; Argentina
Fil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Silva, Fabiano B.. Universidade Estadual de Londrina; Brasil
Fil: Scaminio, Ieda S.. Universidade Estadual de Londrina; Brasil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquimicas y Farmaceuticas. Departamento de Quimica Analitica; Argentina
description Species of the Annonaceae family are used in traditional medicine, and several antitumor acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa. Leaves samples (self-shaded and sun-exposed) of these species were collected during winter and summer seasons. Extraction media were prepared from mixtures of five solvents according to a simplex centroid design. Plant extracts were analysed by injection into a high-performance liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution of chromatographic profiles could help in the discrimination of samples according to taxonomic classification, sun exposition and/or harvest season. The results indicate that extraction media containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination between Annona muricata and Rollinia mucosa extract samples.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/6134
Alfonso, Sabrina; Pisano, Pablo Luis; Silva, Fabiano B.; Scaminio, Ieda S.; Olivieri, Alejandro Cesar; Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data; Sociedade Brasileira de Química; Journal of the Brazilian Chemical Society; 26; 11; 12-2015; 2241-2248
0103-5053
1678-4790
url http://hdl.handle.net/11336/6134
identifier_str_mv Alfonso, Sabrina; Pisano, Pablo Luis; Silva, Fabiano B.; Scaminio, Ieda S.; Olivieri, Alejandro Cesar; Discriminant analysis of Annona muricata and Rollinia mucosa extracts by multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data; Sociedade Brasileira de Química; Journal of the Brazilian Chemical Society; 26; 11; 12-2015; 2241-2248
0103-5053
1678-4790
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/fthnxp
info:eu-repo/semantics/altIdentifier/doi/10.5935/0103-5053.20150210
info:eu-repo/semantics/altIdentifier/doi/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
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
_version_ 1847978271410487296
score 13.087074

Publicaciones similares