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Maria-Jose Motilva

Universidad Internacional de la Rioja

SCHOLARLY PAPERS

4

DOWNLOADS

181

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Impact of Industrial Drying Processes on Phenolic Compounds and Lycopene in Tomato By-Products

Number of pages: 29 Posted: 09 Jun 2022
Maria-Jose Motilva, Bianca Souza da Costa, Marta Oliván García and Germán Soldevilla
Universidad Internacional de la Rioja, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 66 (907,769)

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Drying Technology, lycopene, phenolic compounds, soluble dietary fiber, tomato pomace, UHPLC-QqQ-MS/MS

2.

Identification of Urinary Wine Intake Biomarkers Using a Combination of Targeted and Untargeted Metabolomic Approaches

Number of pages: 36 Posted: 29 Feb 2024
Marta Jimenez-Salcedo, José Ignacio Jimenez-Salcedo, Silvia Yuste, Maria Iñiguez, Patricia Pérez-Matute and Maria-Jose Motilva
University of La Rioja, University of La Rioja, University of La Rioja, Hospital San Pedro Centro de Investigación Biomédica de La Rioja (CIBIR), University of La Rioja and Universidad Internacional de la Rioja
Downloads 47 (1,097,529)

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Polyphenol metabolites, Targeted metabolomic, Urine metabolome, Untargeted metabolomics, UPLC-QTOF-MS, Wine intake biomarkers

3.

Wine Volume Estimation from Single-View Images as a Potential Tool in Dietary Monitoring Studies

Number of pages: 10 Posted: 25 Jan 2022
Miriam Cobo, Ignacio Heredia, Fernando Aguilar, Lara Lloret, Daniel García, Begoña Bartolomé, M. Victoria Moreno-Arribas, Silvia Yuste, Patricia Pérez-Matute and Maria-Jose Motilva
Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, CSIC, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), University of La Rioja, University of La Rioja and Universidad Internacional de la Rioja
Downloads 42 (1,157,785)

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deep learning model, quantitative red wine volume estimation, single-view image, diet monitoring, automatic measurement

4.

Exploring Urinary Biomarkers in Preclinical Alzheimer's Disease Through the Untargeted Metabolomic Approach: 'La Rioja' Cohort

Number of pages: 38 Posted: 03 Jun 2025
José Ignacio Jimenez-Salcedo, Marta Jimenez-Salcedo, Silvia Yuste, Maria Iñiguez, Sara López-Alava, Belinda Matute Tobias, Patricia Pérez-Matute and Maria-Jose Motilva
University of La Rioja, University of La Rioja, University of La Rioja, Hospital San Pedro Centro de Investigación Biomédica de La Rioja (CIBIR), affiliation not provided to SSRN, affiliation not provided to SSRN, University of La Rioja and Universidad Internacional de la Rioja
Downloads 26 (1,372,601)

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Alzheimer's Disease, biomarkers, preclinical Alzheimer, tetrapeptides, untargeted metabolomics, UPLC-QTOF-MS, urine biomarkers