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Oil diffusion in fat crystal matrices : characterization by NMR relaxometry and diffusometry
- Author
- Veronique Nelis, Lorenz De Neve, Sabine Danthine, Koen Dewettinck (UGent) , José Martins (UGent) and Paul Van der Meeren (UGent)
- Organization
- Abstract
- A novel technique based on high resolution (HR)-NMR diffusometry is presented to investigate oil diffusion on the (sub)-micron scale level in fat crystal networks in situ and in a non-destructive way. The use of a high-gradient probe enables the observation of the time (Delta)-dependent diffusion behavior in fat blends (FBs) of different solid fat content (SFC), as obtained by mixing soft palm mid fraction and high-oleic sunflower oil. Hereby, the NMR-diffusion data are analyzed using CONTIN to obtain a continuous distribution of diffusion coefficients. As such, the hindrance of the oil diffusion by the fat crystal network is examined. The characterization of the lipid matrices is completed with H-1-LR-NMR relaxometry, X-ray diffraction, and microstructural visualization. For the investigated FBs, the average diffusion coefficient D(Delta) decreased with increasing SFC, indicating an increased tortuosity of the diffusive path due to an increasing density of the fat crystal networks as observed by polarized light microscopy. This is also supported by an increase in crystal surface area which is indicated by T-2-relaxation analysis. This study shows that NMR diffusometry is a promising technique for investigation of structure-function relationships in fat systems. Practical Applications: The study shows that NMR diffusometry is a promising technique for investigation of structure-function relationships in fat systems. For the first time, oil diffusion in fat crystal networks has been studied by HR-NMR diffusometry with high gradients to collect the diffusional echo signals, while CONTIN-analysis has been used for the first time to process the data.
- Keywords
- CONTIN, fat crystallization, NMR diffusometry, oil diffusion, T-2‐, relaxometry
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8711168
- MLA
- Nelis, Veronique, et al. “Oil Diffusion in Fat Crystal Matrices : Characterization by NMR Relaxometry and Diffusometry.” EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY, vol. 123, no. 4, 2021, doi:10.1002/ejlt.202000237.
- APA
- Nelis, V., De Neve, L., Danthine, S., Dewettinck, K., Martins, J., & Van der Meeren, P. (2021). Oil diffusion in fat crystal matrices : characterization by NMR relaxometry and diffusometry. EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY, 123(4). https://doi.org/10.1002/ejlt.202000237
- Chicago author-date
- Nelis, Veronique, Lorenz De Neve, Sabine Danthine, Koen Dewettinck, José Martins, and Paul Van der Meeren. 2021. “Oil Diffusion in Fat Crystal Matrices : Characterization by NMR Relaxometry and Diffusometry.” EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY 123 (4). https://doi.org/10.1002/ejlt.202000237.
- Chicago author-date (all authors)
- Nelis, Veronique, Lorenz De Neve, Sabine Danthine, Koen Dewettinck, José Martins, and Paul Van der Meeren. 2021. “Oil Diffusion in Fat Crystal Matrices : Characterization by NMR Relaxometry and Diffusometry.” EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY 123 (4). doi:10.1002/ejlt.202000237.
- Vancouver
- 1.Nelis V, De Neve L, Danthine S, Dewettinck K, Martins J, Van der Meeren P. Oil diffusion in fat crystal matrices : characterization by NMR relaxometry and diffusometry. EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY. 2021;123(4).
- IEEE
- [1]V. Nelis, L. De Neve, S. Danthine, K. Dewettinck, J. Martins, and P. Van der Meeren, “Oil diffusion in fat crystal matrices : characterization by NMR relaxometry and diffusometry,” EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY, vol. 123, no. 4, 2021.
@article{8711168, abstract = {{A novel technique based on high resolution (HR)-NMR diffusometry is presented to investigate oil diffusion on the (sub)-micron scale level in fat crystal networks in situ and in a non-destructive way. The use of a high-gradient probe enables the observation of the time (Delta)-dependent diffusion behavior in fat blends (FBs) of different solid fat content (SFC), as obtained by mixing soft palm mid fraction and high-oleic sunflower oil. Hereby, the NMR-diffusion data are analyzed using CONTIN to obtain a continuous distribution of diffusion coefficients. As such, the hindrance of the oil diffusion by the fat crystal network is examined. The characterization of the lipid matrices is completed with H-1-LR-NMR relaxometry, X-ray diffraction, and microstructural visualization. For the investigated FBs, the average diffusion coefficient D(Delta) decreased with increasing SFC, indicating an increased tortuosity of the diffusive path due to an increasing density of the fat crystal networks as observed by polarized light microscopy. This is also supported by an increase in crystal surface area which is indicated by T-2-relaxation analysis. This study shows that NMR diffusometry is a promising technique for investigation of structure-function relationships in fat systems. Practical Applications: The study shows that NMR diffusometry is a promising technique for investigation of structure-function relationships in fat systems. For the first time, oil diffusion in fat crystal networks has been studied by HR-NMR diffusometry with high gradients to collect the diffusional echo signals, while CONTIN-analysis has been used for the first time to process the data.}}, articleno = {{2000237}}, author = {{Nelis, Veronique and De Neve, Lorenz and Danthine, Sabine and Dewettinck, Koen and Martins, José and Van der Meeren, Paul}}, issn = {{1438-7697}}, journal = {{EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY}}, keywords = {{CONTIN,fat crystallization,NMR diffusometry,oil diffusion,T-2‐,relaxometry}}, language = {{eng}}, number = {{4}}, pages = {{10}}, title = {{Oil diffusion in fat crystal matrices : characterization by NMR relaxometry and diffusometry}}, url = {{http://doi.org/10.1002/ejlt.202000237}}, volume = {{123}}, year = {{2021}}, }
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