NMR relaxation tools for improving and protecting quality of dairy products

Informazioni relative al progetto

NMR-IMPROV

ID dell’accordo di sovvenzione: 101131564

DOI

10.3030/101131564

Data della firma CE 18 Settembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 1 361 600,00

Coordinato da

UNIWERSYTET WARMINSKO MAZURSKI W OLSZTYNIE
Poland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

Report on the progress in NMR relaxation database for dairy products

Report on the current stage of NMR relaxation database for dairy products

Overview of the current stage of relaxation models relevant from for dairy systems

Overview of the state of the art with respect to theoretical models of relaxation processes being of relevance for dairy products

Data Management Plan (1)

Data management plan

Plan of the management of data obtained in the framework of the project

Other (5)

Challenges of plant-based dairy products

Overview of challenges encountered for plant-based dairy products

Quality control protocols in EU – teaching material

Teaching material (tutorial) on quality control protocols in EU

Personalized dairy products – perspectives

Overview of perspectives of personalized dairy products

Compatibility of FFC-NMR and TD-NMR - teaching material

Teaching material (tutorial) explaining compatibility of FFC-NMR and TD-NMR

Principles of NMR relaxation – teaching material

Teaching material (tutorial) explaining the principles of NMR relaxation

Pubblicazioni

Conference proceedings (3)

Low-field Magnetic Resonance Fingerprinting Materials and methods Simulations

Autori: Imran Sarwar; Gianni Ferrante; Edoardo Pinna; Manoj Nimbalkar
Pubblicato in: 2025
Editore: ResearchGate
DOI: 10.13140/RG.2.2.32422.18248

Storm6: A Unified Platform for Real-Time TD and FFC NMR Acquisition and Analysis

Autori: Imran Sarwar; Gianni Ferrante; Manoj Nimbalkar; Edoardo Pinna
Pubblicato in: 2025
Editore: ResearchGate
DOI: 10.13140/RG.2.2.15644.96641

Analyzing structure and dynamics of cellulose porous system by various TD-NMR experiments

Autori: 1. M. Ivanova, L. Grunin, V. Baranauskaite, T. Reininger
Pubblicato in: 18th Colloquium on Mobile Magnetic Resonance (CMMR18), Tromsø (Norway)
Editore: Resonance Systems GmbH

Peer reviewed articles (3)

Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems

Autori: Giovanni Vito Spinelli, Davide Evangelista, Liwei Hu, Fabiana Zama
Pubblicato in: Neural Computing and Applications, Numero 37, 2025, ISSN 0941-0643
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S00521-024-10859-Y

Robust Algorithms for the Analysis of Fast-Field-Cycling Nuclear Magnetic Resonance Dispersion Curves

Autori: Villiam Bortolotti, Pellegrino Conte, Germana Landi, Paolo Lo Meo, Anastasiia Nagmutdinova, Giovanni Vito Spinelli, Fabiana Zama
Pubblicato in: Computers, Numero 13, 2024, ISSN 2073-431X
Editore: MDPI AG
DOI: 10.3390/COMPUTERS13060129

Studying the influence of milk processing on two relaxation components of aged cheeses through benchtop FFC-NMR analysis

Autori: Anastasiia Nagmutdinova, Leonardo Brizi, Villiam Bortolotti, Gianni Ferrante, Fabiana Zama, Germana Landi, Roberto Anedda
Pubblicato in: Food Research International, Numero 214, 2025, ISSN 0963-9969
Editore: Elsevier BV
DOI: 10.1016/J.FOODRES.2025.116679