NMR relaxation tools for improving and protecting quality of dairy products

Projektinformationen

NMR-IMPROV

ID Finanzhilfevereinbarung: 101131564

DOI

10.3030/101131564

EK-Unterschriftsdatum 18 September 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2027

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 1 361 600,00

Koordiniert durch

UNIWERSYTET WARMINSKO MAZURSKI W OLSZTYNIE
Poland

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Leistungen

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

Veröffentlichungen

Conference proceedings (3)

Low-field Magnetic Resonance Fingerprinting Materials and methods Simulations

Autoren: Imran Sarwar; Gianni Ferrante; Edoardo Pinna; Manoj Nimbalkar
Veröffentlicht in: 2025
Herausgeber: ResearchGate
DOI: 10.13140/RG.2.2.32422.18248

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

Autoren: Imran Sarwar; Gianni Ferrante; Manoj Nimbalkar; Edoardo Pinna
Veröffentlicht in: 2025
Herausgeber: ResearchGate
DOI: 10.13140/RG.2.2.15644.96641

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

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

Peer reviewed articles (3)

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

Autoren: Giovanni Vito Spinelli, Davide Evangelista, Liwei Hu, Fabiana Zama
Veröffentlicht in: Neural Computing and Applications, Ausgabe 37, 2025, ISSN 0941-0643
Herausgeber: 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

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

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

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