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

Rezultaty

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

Publikacje

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

Autorzy: Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgartner, Josep Palau Caballero, Arturo Jimenez, Marco Agostino Deriu
Opublikowane w: Foods, Numer 10/5, 2021, Strona(/y) 1010, ISSN 2304-8158
Wydawca: MDPI AG
DOI: 10.3390/foods10051010

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

Autorzy: 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
Opublikowane w: Scientific Reports, 2022, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-022-25935-3

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

Autorzy: Ali Ahmad; Javier Ordoñez; Pedro Cartujo; Vanesa Martos
Opublikowane w: Agronomy, Numer 1, 2020, ISSN 2073-4395
Wydawca: 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

Autorzy: V. Martos Núñez
Opublikowane w: ReiDoCrea: Revista electrónica de investigación Docencia Creativa, 2022, ISSN 2254-5883
Wydawca: Universidad de Granada
DOI: 10.30827/digibug.72479

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

Autorzy: Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini and Marco A. Deriu
Opublikowane w: Algorithms, 2021, ISSN 1999-4893
Wydawca: MDPI Open Access Publishing
DOI: 10.3390/a14110301

Combating Salinity Through Natural Plant Extracts Based Biostimulants: A Review

Autorzy: Ali Ahmad; Begoña Blasco; Vanessa Martos
Opublikowane w: Frontiers in Plant sciences, Numer 1, 2022, ISSN 1664-462X
Wydawca: 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

Autorzy: V. Martos Núñez
Opublikowane w: ReiDoCrea: Revista electrónica de investigación Docencia Creativa, 2022, ISSN 2254-5883
Wydawca: Universidad de Granada
DOI: 10.30827/digibug.72480

Fungi, P-Solubilization, and Plant Nutrition

Autorzy: Maria Vassileva; Gilberto Mendes; Marco Deriu; Giacomo Benedetto; Elena Flor-Peregrin; Stefano Mocali; Vanessa Martos; Nikolay Vassilev
Opublikowane w: microorganisms, 2022, ISSN 2076-2607
Wydawca: mdpi
DOI: 10.3390/microorganisms10091716

A survey on computational taste predictors

Autorzy: 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
Opublikowane w: European Food Research and Technology, 2022, ISSN 1438-2385
Wydawca: Springer
DOI: 10.1007/s00217-022-04044-5

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

Autorzy: Vanesa Martos; Ali Ahmad; Pedro Cartujo; Javier Ordoñez
Opublikowane w: Applied Sciences, Numer 1, 2021, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app11135911

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

Autorzy: Stefano Muscat, Lorenzo Pallante, Filip Stojceski, Andrea Danani, Gianvito Grasso, Marco Agostino Deriu
Opublikowane w: International Journal of Molecular Sciences, Numer 21/6, 2020, Strona(/y) 2017, ISSN 1422-0067
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms21062017

When Stiffness Matters: Mechanosensing in Heart Development and Disease

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

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

Autorzy: Venturini, Francescaa; Sperti, Michela;Michelucci, Umberto;Gucciardi, Arnaud;Martos, Vanessa M; Deriu, Marco A.
Opublikowane w: Journal of Food Engineering, Numer 02608774, 2022, ISSN 0260-8774
Wydawca: Elsevier BV
DOI: 10.1016/j.jfoodeng.2022.111198

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

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

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

Autorzy: 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
Opublikowane w: Trends in Food Science & Technology, Numer 1, 2021, ISSN 0924-2244
Wydawca: Elsevier BV
DOI: 10.1016/j.tifs.2021.07.013

Informed classification of sweeteners/bitterants compounds via explainable machine learning

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

Machine Learning Aided Molecular Modelling of Taste to Identify Food Fingerprints

Autorzy: Lorenzo Pallantea, Marco Cannariatoa, Fosca Vezzullib, Marta Malavoltac, Milena Lambrib, Marco A. Deriu
Opublikowane w: Chemical Engineering Transactions, 2023
Wydawca: Chemical Engineering Transactions
DOI: 10.3303/cet23102048

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