Regular ArticleMonitoring the Formation of Ice During Food Freezing by Magnetic Resonance Imaging
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Application of super-cooled storage of aquatic products: A review
2023, International Journal of RefrigerationPerspectives in process analytics using low field NMR
2021, Journal of Magnetic ResonanceCitation Excerpt :As measurements via NMR sensors, which have been successfully used in well logging for many decades, MRI can shed light on aspects like structural heterogeneity or provide a quantitative measure of fluid saturation and transport. Further examples are known in food processing like freezing, frying, brining, heating or drying [104-107]. A basic operation in process engineering is separation, whether as liquid-solid or liquid-liquid in diverse realizations like chromatography, cake filtration or membrane filtration, to name a few.
Measuring and controlling ice crystallization in frozen foods: A review of recent developments
2019, Trends in Food Science and TechnologyReview on identification, underlying mechanisms and evaluation of freezing damage
2019, Journal of Food EngineeringCitation Excerpt :ii) MRI has been proven useful in monitoring the development of ice during food freezing and assessing freezing time. In this case, ice crystal formation is marked by an abrupt decrease in spatially located NMR signal strength (Kerr et al., 1998). iii) Since the distribution of the water in food products is affected during freezing/thawing process, NMR transverse (T2) relaxation technique and MRI technique have been also used to follow dynamic changes in the structure and texture of foods during such process (Yano et al., 2002).
Nuclear magnetic resonance spectroscopy for food quality evaluation
2019, Evaluation Technologies for Food QualityDiverse food-based applications of nuclear magnetic resonance (NMR) technology
2013, Food Research InternationalCitation Excerpt :Using MRI, the freezing behavior characteristics were monitored noninvasively in the different foods, the ice formation correlated to the loss of NMR signal intensity, as well as the time of ice formation to the time of the loss of signal. ( Kerr et al., 1998). NMR data regarding correlation of distribution during cooking correlated to texture attributes of potato have also successfully been demonstrated (Mortensen, Thybo, Bertram, Andersen, & Engelsen, 2005; Thybo et al., 2004).
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