Journal
JOURNAL OF FOOD ENGINEERING
Volume 222, Issue -, Pages 151-161Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jfoodeng.2017.11.024
Keywords
Egg-yolk; Egg-white; Thermal protein denaturation; Color estimation; Ohmic heating; Computer vision system
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Funding
- Ministry of Education, Culture, Sports, Science and Technology of Japan [16K00808]
- Grants-in-Aid for Scientific Research [16K00808] Funding Source: KAKEN
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Raw eggs were separated into yolks and whites before thermal treatment. An ohmic heating process at 20 kHz and 30 V was used for egg-yolk samples, and color changes were monitored with a computer vision system. Egg-white samples were treated with a water bath, and absorbance, as an expression of turbidity, was determined spectrophotometrically. Thermal protein denaturation of egg samples was analyzed by differential scanning calorimetry (DSC) using the dynamic method, and estimated for several thermal schedules by kinetics analysis. The DSC thermogram was characterized by two endothermic peaks in each sample. With increasing temperature, the yolk gradually turned from a plain orange to a vivid yellow color, while the white gradually changed from transparent to cloudy. For all samples, an accurate correlation was obtained between color changes and the non-denaturation ratio of the second peak temperature. Results are of potential value for the modeling and design of egg-based products. (C) 2017 Elsevier Ltd. All rights reserved.
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