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Mathematical Modeling and Use of Magnetic Resonance Imaging (MRI) for Oil Migration in Chocolate Confectionery Systems
Date
2017-03-01
Author
Cikrikci, SEVİL
Öztop, Halil Mecit
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Oil migration is a common problem in chocolate confectionery products leading to quality defects, particularly fat bloom. Several factors such as contact area, ratio of the two fat phases, type of the fat, solid fat content, presence of non-fat solid particles, particle size, viscosity, structure, concentration gradient of triacylglycerols (TAGs), and storage temperature have all effect on migration rate. Mechanism of oil migration has still not been clearly understood, but possible mechanisms have been suggested and studied in the literature. Diffusion mechanism was demonstrated and modeled in many studies. Although there are so many methods to monitor and quantify migration, magnetic resonance imaging (MRI) is among the most promising techniques as being non-destructive. This review covers the literature related to basics of migration, mechanisms, and monitoring and modeling migration in chocolate through MRI and also includes a brief description about chocolate, chocolate processing, and fundamental concepts in MRI.
Subject Keywords
Oil migration
,
Magnetic resonance imaging (MRI)
,
Mathematical modeling
URI
https://hdl.handle.net/11511/46778
Journal
FOOD ENGINEERING REVIEWS
DOI
https://doi.org/10.1007/s12393-016-9152-4
Collections
Department of Food Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Cikrikci and H. M. Öztop, “Mathematical Modeling and Use of Magnetic Resonance Imaging (MRI) for Oil Migration in Chocolate Confectionery Systems,”
FOOD ENGINEERING REVIEWS
, vol. 9, no. 1, pp. 50–70, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46778.