Kinetic Models of Color Degradation, Total Difference Color, and Brown Index of Soursop (Annona muricata L.) Slices During Heat Pump Drying by Pilot Equipment

被引:0
|
作者
Vu, Ngoc Duc [1 ,2 ]
Pham, Binh An [1 ]
Pham, Thi Ngoc Nhi [2 ]
Long, Huynh Bao [3 ]
Diep, Duong Thi Ngoc [2 ]
机构
[1] Nguyen Tat Thanh Univ, Inst Appl Technol & Sustainable Dev, Ho Chi Minh City, Vietnam
[2] Nong Lam Univ, Fac Chem Engn & Food Technol, Ho Chi Minh City, Vietnam
[3] Ho Chi Minh City Univ Ind & Trade, Fac Chem Technol, Ho Chi Minh City, Vietnam
关键词
activation energy; brown index; color; heat pump drying; kinetic models; POLYPHENOL OXIDASE ACTIVITY; HOT AIR; QUALITY ATTRIBUTES; VISUAL COLOR; BEHAVIOR; MANGO; ACIDS;
D O I
10.1111/jfpe.70081
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Tea color is a key factor in consumer purchasing decisions and reflects product quality. Thus, modeling and controlling the soursop slices drying process are essential to enhance sensory value and reduce investigation costs. In this study, mathematical techniques were applied to evaluate the changes in color values (L*, a*, b*, triangle E*, and BI) during heat pump drying using a high-capacity pilot drying equipment. Experimental data were collected from assessing color changes at drying temperatures of 20 degrees C, 30 degrees C, 40 degrees C, and 50 degrees C over time. The data were fitted into regression equations to assess the kinetics of the process. Results revealed that each kinetic model could appropriately describe the color value changes for one or more drying processes at different temperatures. Notably, both fractional conversion and Zero-order models were chosen to describe the change in L* value during drying at 20 degrees C and 30 degrees C, while the Power-law model was used for L* value changes at 40 degrees C and 50 degrees C. At the same temperature ranges, another finding showed that the experimental data for a* and b* values followed the Combined kinetic model (R-2 > 0.92). Kinetic models describing the changes in BI and Delta E* during drying at various temperatures were also identified based on statistical parameters (R-2, chi(2), and RMSE). The activation energy required for changes in color values was calculated, revealing that the a* value was the most sensitive to temperature, whereas the sensitivities of L*, b*, triangle E*, and BI were comparable. The study discussed the nature, modeling methods, and optimization of drying processes, offering insights into both quantity and quality.
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页数:19
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