Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Descripción del Articulo

This study was funded by the Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica (CONCYTEC) -Programa Atraccion de Investigadores Cienciactiva Contract #008-2017-FONDECYT.
Detalles Bibliográficos
Autores: Lopez, Juan M., Leyva, Vanessa, Maruenda, Helena
Formato: artículo
Fecha de Publicación:2021
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2943
Enlace del recurso:https://hdl.handle.net/20.500.12390/2943
https://doi.org/10.3791/62719
Nivel de acceso:acceso abierto
Materia:plant scenarios
Nuclear Magnetic Resonance
https://purl.org/pe-repo/ocde/ford#3.02.18
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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
title Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
spellingShingle Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
Lopez, Juan M.
plant scenarios
Nuclear Magnetic Resonance
https://purl.org/pe-repo/ocde/ford#3.02.18
title_short Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
title_full Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
title_fullStr Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
title_full_unstemmed Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
title_sort Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
author Lopez, Juan M.
author_facet Lopez, Juan M.
Leyva, Vanessa
Maruenda, Helena
author_role author
author2 Leyva, Vanessa
Maruenda, Helena
author2_role author
author
dc.contributor.author.fl_str_mv Lopez, Juan M.
Leyva, Vanessa
Maruenda, Helena
dc.subject.none.fl_str_mv plant scenarios
topic plant scenarios
Nuclear Magnetic Resonance
https://purl.org/pe-repo/ocde/ford#3.02.18
dc.subject.es_PE.fl_str_mv Nuclear Magnetic Resonance
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.18
description This study was funded by the Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica (CONCYTEC) -Programa Atraccion de Investigadores Cienciactiva Contract #008-2017-FONDECYT.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2943
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3791/62719
url https://hdl.handle.net/20.500.12390/2943
https://doi.org/10.3791/62719
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Journal of Visualized Experiments
publisher.none.fl_str_mv Journal of Visualized Experiments
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1844883067880079360
spelling Publicationrp07498600rp08292600rp08293600Lopez, Juan M.Leyva, VanessaMaruenda, Helena2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2943https://doi.org/10.3791/62719This study was funded by the Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica (CONCYTEC) -Programa Atraccion de Investigadores Cienciactiva Contract #008-2017-FONDECYT.Nuclear Magnetic Resonance (NMR) is one of the most powerful tools used in metabolomics. It stands as a highly accurate and reproducible method that not only provides quantitative data but also permits structural identification of the metabolites present in complex mixtures. Metabolic profiling by H-1 NMR has proven useful in the study of various types of plant scenarios, which include the evaluation of crop conditions, harvest and postharvest treatments, metabolic phenotyping, metabolic pathways, gene regulation, identification of biomarkers, chemotaxonomy, quality control, denomination of origin, among others. However, signal overlapping of the large number of resonances with expanded J-coupling multiplicities complicates the spectra analysis and its interpretation, and represents a limitation for classical H-1 NMR profiling. In the last decade, novel NMR broadband homonuclear decoupling techniques through which multiplet signals collapse into single resonance lines - commonly called Pure Shift methods - have been developed to overcome the spectra resolution problem inherent to H-1 NMR classical spectra. Here a step-by-step protocol of the plant extract preparation and the procedure to record optimal Pure Shift PSYCHE and SAPPHIRE-PSYCHE spectra in three different plant matrices - Vanilla plant leaves, potato tubers (S. tuberosum), and Cape gooseberries (P. peruviana) - is presented. The effect of the gain in resolution in metabolic identification, correlation analysis and multivariate analyses, as compared against classical spectra, is discussed.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengJournal of Visualized ExperimentsJOVE-JOURNAL OF VISUALIZED EXPERIMENTSinfo:eu-repo/semantics/openAccessplant scenariosNuclear Magnetic Resonance-1https://purl.org/pe-repo/ocde/ford#3.02.18-1Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomicsinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2943oai:repositorio.concytec.gob.pe:20.500.12390/29432024-05-30 16:12:19.859http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="27f77b8d-5f5d-4429-947c-4ffb5789f857"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics</Title> <PublishedIn> <Publication> <Title>JOVE-JOURNAL OF VISUALIZED EXPERIMENTS</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.3791/62719</DOI> <Authors> <Author> <DisplayName>Lopez, Juan M.</DisplayName> <Person id="rp07498" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Leyva, Vanessa</DisplayName> <Person id="rp08292" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Maruenda, Helena</DisplayName> <Person id="rp08293" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Journal of Visualized Experiments</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>plant scenarios</Keyword> <Keyword>Nuclear Magnetic Resonance</Keyword> <Abstract>Nuclear Magnetic Resonance (NMR) is one of the most powerful tools used in metabolomics. It stands as a highly accurate and reproducible method that not only provides quantitative data but also permits structural identification of the metabolites present in complex mixtures. Metabolic profiling by H-1 NMR has proven useful in the study of various types of plant scenarios, which include the evaluation of crop conditions, harvest and postharvest treatments, metabolic phenotyping, metabolic pathways, gene regulation, identification of biomarkers, chemotaxonomy, quality control, denomination of origin, among others. However, signal overlapping of the large number of resonances with expanded J-coupling multiplicities complicates the spectra analysis and its interpretation, and represents a limitation for classical H-1 NMR profiling. In the last decade, novel NMR broadband homonuclear decoupling techniques through which multiplet signals collapse into single resonance lines - commonly called Pure Shift methods - have been developed to overcome the spectra resolution problem inherent to H-1 NMR classical spectra. Here a step-by-step protocol of the plant extract preparation and the procedure to record optimal Pure Shift PSYCHE and SAPPHIRE-PSYCHE spectra in three different plant matrices - Vanilla plant leaves, potato tubers (S. tuberosum), and Cape gooseberries (P. peruviana) - is presented. The effect of the gain in resolution in metabolic identification, correlation analysis and multivariate analyses, as compared against classical spectra, is discussed.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
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