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dc.contributor.authorCasas Ferreira, Ana María 
dc.contributor.authorNogal Sánchez, Miguel del 
dc.contributor.authorRodríguez Gonzalo, Encarnación 
dc.contributor.authorMoreno Cordero, Bernardo 
dc.contributor.authorPérez Pavón, José Luis 
dc.date.accessioned2025-01-21T11:39:43Z
dc.date.available2025-01-21T11:39:43Z
dc.date.issued2020
dc.identifier.citationAna María Casas-Ferreira, Miguel del Nogal-Sánchez, Encarnación Rodríguez-Gonzalo, Bernardo Moreno-Cordero, José Luis Pérez-Pavón, Determination of leucine and isoleucine/allo-isoleucine by electrospray ionization-tandem mass spectrometry and partial least square regression: Application to saliva samples, Talanta, Volume 216, 2020, 120811, ISSN 0039-9140, https://doi.org/10.1016/j.talanta.2020.120811. (https://www.sciencedirect.com/science/article/pii/S0039914020301028)es_ES
dc.identifier.issn0039-9140
dc.identifier.urihttp://hdl.handle.net/10366/162166
dc.description.abstract[EN]Herein we propose, for the first time, a rapid method based on flow injection analysis, electrospray ionization-tandem mass spectrometry (FIA-ESI-MS/MS) and multivariate calibration for the determination of L-leucine, L-isoleucine and L-allo-isoleucine in saliva. As far as we know, multivariate calibration has never been applied to the data from this non-separative approach. The possibilities of its use were explored and the results obtained were compared with the corresponding ones when using univariate calibration. Partial least square regression (PLS1) multivariate calibration models were built for each analyte by analyzing different saliva samples, and were subsequently applied to the analysis of another set of samples which had not been used in any calibration step. For Leu, the model worked satisfactorily with root mean square errors in the prediction step of 17 %. This error can be considered acceptable and is common in methodologies that do not include a separation step. Results were compared with those obtained when univariate calibration was used, using the m/z transition 132.1→43.0 as the quantitation variable. In this case, the obtained results were not acceptable, with RMSEP of 236 %, due to the fact that saliva samples contained another compound, different to the target analytes, which also shared the same transition. Ile and aIle have the same fragmentation patterns, so quantification of the sum of both compounds was performed, with RMSEP of 14 % using a PLS1 model. Similar results were obtained when a univariate calibration model using the m/z transition 132.1→69.0 was employed. However, the use of this transition should be carefully examined when other compounds present in the matrix contribute to the analytical signal. The method increases sample throughput more than one order of magnitude compared to the corresponding LC-ESI-MS/MS method and is especially suitable as screening. When abnormally high or low concentrations of the analytes studied are obtained, the use of the method that includes separation is recommended to confirm the results.es_ES
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad Junta de Castilla y León Fundación Samuel Solórzanoes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSalivaes_ES
dc.subjectElectrospray ionization tandem mass spectrometryes_ES
dc.subjectMultivariate calibrationes_ES
dc.subjectNon-separative methodes_ES
dc.subjectLeucineses_ES
dc.titleDetermination of leucine and isoleucine/allo-isoleucine by electrospray ionization-tandem mass spectrometry and partial least square regression: Application to saliva sampleses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.talanta.2020.120811es_ES
dc.subject.unesco2301 Química Analíticaes_ES
dc.subject.unesco2301.10 Espectroscopia de Masases_ES
dc.subject.unesco1209.09 Análisis Multivariantees_ES
dc.identifier.doi10.1016/j.talanta.2020.120811
dc.relation.projectIDCTQ2017-87886-P/BQUes_ES
dc.relation.projectIDSA055P17es_ES
dc.relation.projectIDFS/19-2017es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleTalantaes_ES
dc.volume.number216es_ES
dc.page.initial120811es_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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