Virtual tongue to predIct the oRganoleptic profile of mediterranean IngredienTs and their effect on hUman hOmeostasis by means of an integrated compUtational multiphysicS platform

Risultati finali

Feedback on VIRTUOUS platform use
Organoleptic Profile Trial Scheme

The procedure to develop the trial methodology will be explained in this report eg test modality questionnaire number of people involved number and type of wines and olive oils used for organoleptic profile tests

Project website

Pubblicazioni

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Autori: Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgartner, Josep Palau Caballero, Arturo Jimenez, Marco Agostino Deriu
Pubblicato in: Foods, Numero 10/5, 2021, Pagina/e 1010, ISSN 2304-8158
Editore: MDPI AG
DOI: 10.3390/foods10051010

Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach

Autori: Lorenzo Pallante, Aigli Korfiati, Lampros Androutsos, Filip Stojceski, Agorakis Bompotas, Ioannis Giannikos, Christos Raftopoulos, Marta Malavolta, Gianvito Grasso, Seferina Mavroudi, Athanasios Kalogeras, Vanessa Martos, Daria Amoroso, Dario Piga, Konstantinos Theofilatos, and Marco A. Deriu
Pubblicato in: Scientific Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-25935-3

Remotely piloted aircraft (RPA) in agriculture: A pursuit of sustainability

Autori: Ali Ahmad; Javier Ordoñez; Pedro Cartujo; Vanesa Martos
Pubblicato in: Agronomy, Numero 1, 2020, ISSN 2073-4395
Editore: MDPI
DOI: 10.3390/agronomy11010007

Enseñanza del Análisis Sensorial en un Panel de Cata y su relación con las propiedades del Aceite de Oliva Virgen

Autori: V. Martos Núñez
Pubblicato in: ReiDoCrea: Revista electrónica de investigación Docencia Creativa, 2022, ISSN 2254-5883
Editore: Universidad de Granada
DOI: 10.30827/digibug.72479

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification

Autori: Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini and Marco A. Deriu
Pubblicato in: Algorithms, 2021, ISSN 1999-4893
Editore: MDPI Open Access Publishing
DOI: 10.3390/a14110301

Combating Salinity Through Natural Plant Extracts Based Biostimulants: A Review

Autori: Ali Ahmad; Begoña Blasco; Vanessa Martos
Pubblicato in: Frontiers in Plant sciences, Numero 1, 2022, ISSN 1664-462X
Editore: Frontiers Media S. A.
DOI: 10.3389/fpls.2022.862034

Analizando las posibles aplicaciones de los drones y los satélites en la enseñanza de Fisiología Vegetal

Autori: V. Martos Núñez
Pubblicato in: ReiDoCrea: Revista electrónica de investigación Docencia Creativa, 2022, ISSN 2254-5883
Editore: Universidad de Granada
DOI: 10.30827/digibug.72480

Fungi, P-Solubilization, and Plant Nutrition

Autori: Maria Vassileva; Gilberto Mendes; Marco Deriu; Giacomo Benedetto; Elena Flor-Peregrin; Stefano Mocali; Vanessa Martos; Nikolay Vassilev
Pubblicato in: microorganisms, 2022, ISSN 2076-2607
Editore: mdpi
DOI: 10.3390/microorganisms10091716

A survey on computational taste predictors

Autori: Marta Malavolta; Lorenzo Pallante; Bojan Mavkov; Filip Stojceski; Gianvito Grasso; Aigli Korfiati; Seferina Mavroudi; Athanasios Kalogeras; Christos Alexakos; Vanessa Martos; Daria Amoroso; Giacomo Di Benedetto; Dario Piga; Konstantinos Theofilatos; Marco Agostino Deriu
Pubblicato in: European Food Research and Technology, 2022, ISSN 1438-2385
Editore: Springer
DOI: 10.1007/s00217-022-04044-5

Use of machine learning to establish limits in the classification of hyperaccumulator plants growing on serpentine, gypsum and dolomite soils

Autori: Marina Mota-Merlo, Vanessa Martos
Pubblicato in: Mediterranean Botany, 2021, ISSN 2603-9109
Editore: Universidad Complutense de Madrid
DOI: 10.5209/mbot.67609

Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0

Autori: Vanesa Martos; Ali Ahmad; Pedro Cartujo; Javier Ordoñez
Pubblicato in: Applied Sciences, Numero 1, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11135911

The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical Characterization

Autori: Stefano Muscat, Lorenzo Pallante, Filip Stojceski, Andrea Danani, Gianvito Grasso, Marco Agostino Deriu
Pubblicato in: International Journal of Molecular Sciences, Numero 21/6, 2020, Pagina/e 2017, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms21062017

When Stiffness Matters: Mechanosensing in Heart Development and Disease

Autori: Roberto Gaetani, Eric Adriano Zizzi, Marco Agostino Deriu, Umberto Morbiducci, Maurizio Pesce, Elisa Messina
Pubblicato in: Frontiers in Cell and Developmental Biology, Numero 8, 2020, ISSN 2296-634X
Editore: frontiers
DOI: 10.3389/fcell.2020.00334

Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil

Autori: Venturini, Francescaa; Sperti, Michela;Michelucci, Umberto;Gucciardi, Arnaud;Martos, Vanessa M; Deriu, Marco A.
Pubblicato in: Journal of Food Engineering, Numero 02608774, 2022, ISSN 0260-8774
Editore: Elsevier BV
DOI: 10.1016/j.jfoodeng.2022.111198

Fragmented blind docking: a novel protein–ligand binding prediction protocol

Autori: Gianvito Grasso, Arianna Di Gregorio, Bojan Mavkov, Dario Piga, Giuseppe Falvo D’Urso Labate, Andrea Danani and Marco A. Deriu
Pubblicato in: Journal of Biomolecular Structure and Dynamics, 2021, ISSN 0739-1102
Editore: Adenine Press
DOI: 10.1080/07391102.2021.1988709

JAK inhibitors in immune-mediated rheumatic diseases: From a molecular perspective to clinical studies

Autori: Michela Sperti, Marta Malavolta, GloriaCiniero, Simone Borrelli, Marco Cavaglià, Stefano Muscat, Jack Adam Tuszynski, Antonella Afeltra, Domenico Paolo Emanuele Margiotta, LucaNavarini
Pubblicato in: Journal of Molecular Graphics and Modelling, 2021, ISSN 1093-3263
Editore: Elsevier BV
DOI: 10.1016/j.jmgm.2020.107789

On the human taste perception: Molecular-level understanding empowered by computational methods

Autori: Lorenzo Pallante; Marta Malavolta; Gianvito Grasso; Aigli Korfiati; Seferina Mavroudi; Bojan Mavkov; Athanasios Kalogeras; Christos Alexakos; Vanessa Martos; Daria Amoroso; Giacomo di Benedetto; Dario Piga; Konstantinos Theofilatos; Marco A. Deriu
Pubblicato in: Trends in Food Science & Technology, Numero 1, 2021, ISSN 0924-2244
Editore: Elsevier BV
DOI: 10.1016/j.tifs.2021.07.013

Informed classification of sweeteners/bitterants compounds via explainable machine learning

Autori: Gabriele Maroni, Lorenzo Pallante, Giacomo Di Benedetto, Marco A. Deriu, Dario Piga, Gianvito Grasso
Pubblicato in: Current Research in Food Science, 2022, ISSN 2665-9271
Editore: Elsevier
DOI: 10.1016/j.crfs.2022.11.014

Machine Learning Aided Molecular Modelling of Taste to Identify Food Fingerprints

Autori: Lorenzo Pallantea, Marco Cannariatoa, Fosca Vezzullib, Marta Malavoltac, Milena Lambrib, Marco A. Deriu
Pubblicato in: Chemical Engineering Transactions, 2023
Editore: Chemical Engineering Transactions
DOI: 10.3303/cet23102048

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