LC-HRMS Fingerprinting and Chemometrics for the Characterization and Classification of Lotus Cultivars from Uruguay: A Study on Phenolic Composition

dc.contributor.authorOlivaro, Cristina
dc.contributor.authorNúñez, Nerea
dc.contributor.authorBasile, Patricia
dc.contributor.authorMederos, América
dc.contributor.authorReyno, Rafael
dc.contributor.authorSaurina, Javier
dc.contributor.authorNúñez Burcio, Oscar
dc.date.accessioned2025-09-22T17:15:57Z
dc.date.available2025-09-22T17:15:57Z
dc.date.issued2025-08
dc.date.updated2025-09-22T17:15:57Z
dc.description.abstractIntroduction: The Lotus genus, part of the legume family, comprises over 180 species distributed across diverse ecosystems worldwide. Its broad genetic diversity enables adaptation to various environmental conditions and represents a valuable resource for breeding programs targeting key agronomic traits. One of the most attractive features of Lotus species is the presence of condensed tannins in the forage, which, in ruminants, help prevent bloat, exhibit antiparasitic properties, enhance the absorption of non-ammonia nitrogen compounds, and reduce greenhouse gas emissions. Aims and methods: This study aimed to develop a UHPLC-HRMS method for classifying ten Lotus cultivars produced in Uruguay using a non-targeted metabolomic fingerprinting approach. Five cultivars belong to Lotus corniculatus, three to Lotus uliginosus, and two are interspecific hybrids. The analysis focused on phenolic compound-rich fingerprints. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for data exploration and classification, and to identify key phenolic compounds with high discriminant potential. Finally, cultivar-specific polyphenolic compounds were tentatively identified based on chromatographic and high-resolution mass spectrometry (HRMS/MS) data obtained from all cultivars. Results: When defining four classes (L. uliginosus, L. corniculatus, and the two hybrids), the optimal PLS-DA model required six latent variables and achieved 100% classification accuracy, with both sensitivity and specificity reaching 100%. Additional PLS-DA models were developed to assess intra-species discrimination among the 3 L. uliginosus and 5 L. corniculatus cultivars, with varying degrees of separation observed. In each PLS-DA model, VIP loadings scores allowed the selection of the most discriminant phenolic compounds for each class under study. A total of 105 compounds, including phenolic acids, flavonols, flavan-3-ols, proanthocyanidins, and organic acids, were tentatively identified by analyzing all cultivars.
dc.format.extent12 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec760123
dc.identifier.issn2296-889X
dc.identifier.urihttps://hdl.handle.net/2445/223340
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fmolb.2025.1646758
dc.relation.ispartofFrontiers In Molecular Biosciences, 2025, vol. 12
dc.relation.urihttps://doi.org/10.3389/fmolb.2025.1646758
dc.rightscc-by (c) Olivaro, C. et al., 2025
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Enginyeria Química i Química Analítica)
dc.subject.classificationUruguai
dc.subject.classificationFenols
dc.subject.classificationQuimiometria
dc.subject.otherUruguay
dc.subject.otherPhenols
dc.subject.otherChemometrics
dc.titleLC-HRMS Fingerprinting and Chemometrics for the Characterization and Classification of Lotus Cultivars from Uruguay: A Study on Phenolic Composition
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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