NMR relaxation tools for improving and protecting quality of dairy products

Project Information

NMR-IMPROV

Grant agreement ID: 101131564

DOI

10.3030/101131564

EC signature date 18 September 2023

Start date 1 January 2024

End date 31 December 2027

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 1 361 600,00

Coordinated by

UNIWERSYTET WARMINSKO MAZURSKI W OLSZTYNIE
Poland

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Publications

Conference proceedings (3)

Low-field Magnetic Resonance Fingerprinting Materials and methods Simulations

Author(s): Imran Sarwar; Gianni Ferrante; Edoardo Pinna; Manoj Nimbalkar
Published in: 2025
Publisher: ResearchGate
DOI: 10.13140/RG.2.2.32422.18248

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

Author(s): Imran Sarwar; Gianni Ferrante; Manoj Nimbalkar; Edoardo Pinna
Published in: 2025
Publisher: ResearchGate
DOI: 10.13140/RG.2.2.15644.96641

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

Author(s): 1. M. Ivanova, L. Grunin, V. Baranauskaite, T. Reininger
Published in: 18th Colloquium on Mobile Magnetic Resonance (CMMR18), Tromsø (Norway)
Publisher: Resonance Systems GmbH

Peer reviewed articles (3)

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

Author(s): Giovanni Vito Spinelli, Davide Evangelista, Liwei Hu, Fabiana Zama
Published in: Neural Computing and Applications, Issue 37, 2025, ISSN 0941-0643
Publisher: 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

Author(s): Villiam Bortolotti, Pellegrino Conte, Germana Landi, Paolo Lo Meo, Anastasiia Nagmutdinova, Giovanni Vito Spinelli, Fabiana Zama
Published in: Computers, Issue 13, 2024, ISSN 2073-431X
Publisher: MDPI AG
DOI: 10.3390/COMPUTERS13060129

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

Author(s): Anastasiia Nagmutdinova, Leonardo Brizi, Villiam Bortolotti, Gianni Ferrante, Fabiana Zama, Germana Landi, Roberto Anedda
Published in: Food Research International, Issue 214, 2025, ISSN 0963-9969
Publisher: Elsevier BV
DOI: 10.1016/J.FOODRES.2025.116679