Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223340
Title: LC-HRMS Fingerprinting and Chemometrics for the Characterization and Classification of Lotus Cultivars from Uruguay: A Study on Phenolic Composition
Author: Olivaro, Cristina
Núñez, Nerea
Basile, Patricia
Mederos, América
Reyno, Rafael
Saurina, Javier
Núñez Burcio, Oscar
Keywords: Uruguai
Fenols
Quimiometria
Uruguay
Phenols
Chemometrics
Issue Date: Aug-2025
Publisher: Frontiers Media
Abstract: Introduction: 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.
Note: Reproducció del document publicat a: https://doi.org/10.3389/fmolb.2025.1646758
It is part of: Frontiers In Molecular Biosciences, 2025, vol. 12
URI: https://hdl.handle.net/2445/223340
Related resource: https://doi.org/10.3389/fmolb.2025.1646758
ISSN: 2296-889X
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

Files in This Item:
File Description SizeFormat 
898624.pdf36.88 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons