Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas”
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532015000200365 |
Resumo: | Malva sylvestris, popularly known as "malva" in Brazil, is a medicinal plant used for its antiinflammatory effects. However, multiple plants are known as "malvas" in Brazil; these species include Sida cordifolia ("malva-branca") and Pelargonium graveolens ("malva-cheirosa"). In this work, electrospray mass spectrometry metabolic fingerprints from these species were obtained by direct infusion of extracts of commercial samples, purchased as crushed dried leaves. The spectral data were used to classify these species using a partial least squares discriminant analysis method. The identities of all samples were confirmed by morphological analyses, emphasizing the trichomes morphology. While over 80% of the samples were labeled as M. sylvestris or "malva", in the present study only 37% of these samples were classified as M. sylvestris species. Approximately 50% of these samples were classified as S. cordifolia, whose consumption may be dangerous for patients with cardiovascular diseases. Thus, these analytical and chemometric procedures worked as a fast and simple method for classifying species of "malvas". |
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Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas”Malva sylvestrisSida cordifoliaPelargonium graveolensESIMSPLS-DAMalva sylvestris, popularly known as "malva" in Brazil, is a medicinal plant used for its antiinflammatory effects. However, multiple plants are known as "malvas" in Brazil; these species include Sida cordifolia ("malva-branca") and Pelargonium graveolens ("malva-cheirosa"). In this work, electrospray mass spectrometry metabolic fingerprints from these species were obtained by direct infusion of extracts of commercial samples, purchased as crushed dried leaves. The spectral data were used to classify these species using a partial least squares discriminant analysis method. The identities of all samples were confirmed by morphological analyses, emphasizing the trichomes morphology. While over 80% of the samples were labeled as M. sylvestris or "malva", in the present study only 37% of these samples were classified as M. sylvestris species. Approximately 50% of these samples were classified as S. cordifolia, whose consumption may be dangerous for patients with cardiovascular diseases. Thus, these analytical and chemometric procedures worked as a fast and simple method for classifying species of "malvas".Sociedade Brasileira de Química2015-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532015000200365Journal of the Brazilian Chemical Society v.26 n.2 2015reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.5935/0103-5053.20140288info:eu-repo/semantics/openAccessMartins,Cleverson A. F.Piantavini,Mário S.Ribeiro,Rômulo P.Amano,ErikaPrá,Bruna V. DalPontarolo,Robertoeng2015-10-26T00:00:00Zoai:scielo:S0103-50532015000200365Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2015-10-26T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
title |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
spellingShingle |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” Martins,Cleverson A. F. Malva sylvestris Sida cordifolia Pelargonium graveolens ESIMS PLS-DA |
title_short |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
title_full |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
title_fullStr |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
title_full_unstemmed |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
title_sort |
Non-Targeted Electrospray Mass Spectrometry-Based Metabolic Fingerprinting and PLS-DA-Based Classification of Brazilian “Malvas” |
author |
Martins,Cleverson A. F. |
author_facet |
Martins,Cleverson A. F. Piantavini,Mário S. Ribeiro,Rômulo P. Amano,Erika Prá,Bruna V. Dal Pontarolo,Roberto |
author_role |
author |
author2 |
Piantavini,Mário S. Ribeiro,Rômulo P. Amano,Erika Prá,Bruna V. Dal Pontarolo,Roberto |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Martins,Cleverson A. F. Piantavini,Mário S. Ribeiro,Rômulo P. Amano,Erika Prá,Bruna V. Dal Pontarolo,Roberto |
dc.subject.por.fl_str_mv |
Malva sylvestris Sida cordifolia Pelargonium graveolens ESIMS PLS-DA |
topic |
Malva sylvestris Sida cordifolia Pelargonium graveolens ESIMS PLS-DA |
description |
Malva sylvestris, popularly known as "malva" in Brazil, is a medicinal plant used for its antiinflammatory effects. However, multiple plants are known as "malvas" in Brazil; these species include Sida cordifolia ("malva-branca") and Pelargonium graveolens ("malva-cheirosa"). In this work, electrospray mass spectrometry metabolic fingerprints from these species were obtained by direct infusion of extracts of commercial samples, purchased as crushed dried leaves. The spectral data were used to classify these species using a partial least squares discriminant analysis method. The identities of all samples were confirmed by morphological analyses, emphasizing the trichomes morphology. While over 80% of the samples were labeled as M. sylvestris or "malva", in the present study only 37% of these samples were classified as M. sylvestris species. Approximately 50% of these samples were classified as S. cordifolia, whose consumption may be dangerous for patients with cardiovascular diseases. Thus, these analytical and chemometric procedures worked as a fast and simple method for classifying species of "malvas". |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532015000200365 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532015000200365 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/0103-5053.20140288 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Journal of the Brazilian Chemical Society v.26 n.2 2015 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
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1750318176969687040 |