2020
DOI: 10.11301/jsfe.20568
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Determining the Internal Structure of Ice Cream Using Cryogenic Microtome Imaging and X-ray Computed Tomography

Abstract: The size, morphology, and distribution of the internal structure of ice cream, such as ice crystal, bubble, and solid content, were determined in samples prepared at four different overrun levels using a cr yogenic microtome spectral imaging system (CMtSIS) and X-ray computed tomography (X-ray CT) at the synchrotron facility SPring-8. Ice cream samples were prepared at four overrun levels and the mean values of the percent overrun by weight (OR) were 11.5%, 22.7%, 44.3%, and 73.8% for very low, low, medium, an… Show more

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“…A number of studies have used electron microscopy to study the air phase in frozen desserts, but recent advancements in imaging may allow for a more complete study of air phase evolution during storage. The air phase can be visualized within the frozen dessert nondestructively using x-ray microtomography (Pinzer et al, 2012), synchrotron x-ray tomography (Guo et al, 2017(Guo et al, , 2018Mo et al, 2018Mo et al, , 2019, cryogenic microtome spectral imaging system (Do et al, 2018(Do et al, , 2020, and focused beam reflectance measurement (Hernández Parra et al, 2018a). The 2D crosssectional images are computed to 3D renderings that can distinguish high-contrast phase boundaries, which is particularly useful to visualizing ice and air phases within the frozen product.…”
Section: Imagingmentioning
confidence: 99%
“…A number of studies have used electron microscopy to study the air phase in frozen desserts, but recent advancements in imaging may allow for a more complete study of air phase evolution during storage. The air phase can be visualized within the frozen dessert nondestructively using x-ray microtomography (Pinzer et al, 2012), synchrotron x-ray tomography (Guo et al, 2017(Guo et al, , 2018Mo et al, 2018Mo et al, , 2019, cryogenic microtome spectral imaging system (Do et al, 2018(Do et al, , 2020, and focused beam reflectance measurement (Hernández Parra et al, 2018a). The 2D crosssectional images are computed to 3D renderings that can distinguish high-contrast phase boundaries, which is particularly useful to visualizing ice and air phases within the frozen product.…”
Section: Imagingmentioning
confidence: 99%