2015
DOI: 10.3168/jds.2014-8531
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Assessment of changes in crystallization properties of pressurized milk fat

Abstract: The aim of the study was to demonstrate the use of fractal image analysis as a possible tool to monitor the effect of pressurization on the crystallization pattern of anhydrous milk fat. This approach can be useful when developing new products based on milk fat. The samples were subjected to different hydrostatic pressure (100, 200, 300, and 400 MPa) and temperature (10 and 40 °C) treatments. The crystallization microphotographs were taken with a scanning electron microscope. The image analysis of scanning ele… Show more

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Cited by 10 publications
(2 citation statements)
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References 22 publications
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“…The fractal dimension, determined from the dependency between the perimeter and surface area of a particle, indicates the extent of development of the surface of the analyzed particles and allows for precise and unbiased comparison of particle microstructures obtained at various drying temperatures. The fractal image analysis method has been used to analyze surfaces of particles or aggregates, but also to investigate crystallization properties of milk fat, yoghurt microstructure or properties of aggregates in wastewater (Staniewski et al 2015;Smoczyński and Baranowska 2014;Smoczyński et al 2016;Florio et al 2019). Results of image analysis are presented in Table 1, whereas an example of a logarithmic dependency between particle perimeter and surface area is shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The fractal dimension, determined from the dependency between the perimeter and surface area of a particle, indicates the extent of development of the surface of the analyzed particles and allows for precise and unbiased comparison of particle microstructures obtained at various drying temperatures. The fractal image analysis method has been used to analyze surfaces of particles or aggregates, but also to investigate crystallization properties of milk fat, yoghurt microstructure or properties of aggregates in wastewater (Staniewski et al 2015;Smoczyński and Baranowska 2014;Smoczyński et al 2016;Florio et al 2019). Results of image analysis are presented in Table 1, whereas an example of a logarithmic dependency between particle perimeter and surface area is shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The specimen was then cooled at 5 °C/min to −20 °C where this temperature was maintained for 2 min. Final heating at 5 °C/min followed this process until 60 °C was reached (Staniewski et al., ).…”
Section: Methodsmentioning
confidence: 99%