Application of a novel metabolomic approach based on atmospheric pressure photoionization mass spectrometry using flow injection analysis for the study of Alzheimer׳s disease

dc.contributor.authorGonzález Domínguez, Raúl
dc.contributor.authorGarcía Barrera, Tamara
dc.contributor.authorGómez Ariza, José Luis
dc.date.accessioned2018-04-25T10:20:45Z
dc.date.available2018-04-25T10:20:45Z
dc.date.issued2015
dc.description.abstractThe use of atmospheric pressure photoionization is not widespread in metabolomics, despite its considerable potential for the simultaneous analysis of compounds with diverse polarities. This work considers the development of a novel analytical approach based on flow injection analysis and atmospheric pressure photoionization mass spectrometry for rapid metabolic screening of serum samples. Several experimental parameters were optimized, such as type of dopant, flow injection solvent, and their flows, given that a careful selection of these variables is mandatory for a comprehensive analysis of metabolites. Toluene and methanol were the most suitable dopant and flow injection solvent, respectively. Moreover, analysis in negative mode required higher solvent and dopant flows (100 µl min−1 and 40 µl min−1, respectively) compared to positive mode (50 µl min−1 and 20 µl min−1). Then, the optimized approach was used to elucidate metabolic alterations associated with Alzheimer׳s disease. Thereby, results confirm the increase of diacylglycerols, ceramides, ceramide-1-phosphate and free fatty acids, indicating membrane destabilization processes, and reduction of fatty acid amides and several neurotransmitters related to impairments in neuronal transmission, among others. Therefore, it could be concluded that this metabolomic tool presents a great potential for analysis of biological samples, considering its high-throughput screening capability, fast analysis and comprehensive metabolite coverage.es_ES
dc.description.departmentQuímica "Profesor José Carlos Vílchez Martín"
dc.description.sponsorshipThis work was supported by the projects CTM2012-38720-C03-01 from the Ministerio de Ciencia e Innovacion and P012-FQM-0442 and P009-FQM-4659 from the Consejeria de Innovacion, Ciencia y Empresa (Junta de Andalucia). Raul Gonzalez Dominguez thanks the Ministerio de Educacion (Grant no. AP2010-4278) for a predoctoral scholarship.
dc.identifier.citationGonzález Domínguez, R., García Barrera, T., Gómez Ariza, J.L.: "Application of a novel metabolomic approach based on atmospheric pressure photoionization mass spectrometry using flow injection analysis for the study of Alzheimer׳s disease". Talanta. Vol. 131, p´gs. 480-489, (2015). DOI: 10.1016/j.talanta.2014.07.075es_ES
dc.identifier.doi10.1016/j.talanta.2014.07.075
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573 (electrónico)
dc.identifier.urihttp://hdl.handle.net/10272/14678
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Consejeria de Innovacion, Ciencia y Empresa (Junta de Andalucia) [P012-FQM-0442, P009-FQM-4659]
dc.relation.projectIDinfo:eu-repo/grantAgreement/Ministerio de Educacion [AP2010-4278]info:eu-repo/grantAgreement/Ministerio de Ciencia e Innovacion [CTM2012-38720-C03-01]
dc.relation.publisherversionhttps://doi.org/10.1016/j.talanta.2014.07.075es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherAlzheimer׳s diseasees_ES
dc.subject.otherMetabolomicses_ES
dc.subject.otherAtmospheric pressure photoionizationes_ES
dc.subject.otherFlow injectiones_ES
dc.titleApplication of a novel metabolomic approach based on atmospheric pressure photoionization mass spectrometry using flow injection analysis for the study of Alzheimer׳s diseasees_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication4db55f76-97fe-4baf-b627-1f0ea7ec63aa
relation.isAuthorOfPublication82b7e28c-8a71-4d42-8b6d-fc4d3545a95b
relation.isAuthorOfPublication.latestForDiscoveryff43cf2b-a5db-42a1-84e0-127cf7500d79

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