Kinetic Models of Color Degradation, Total Difference Color, and Brown Index of Soursop (Annona muricata L.) Slices During Heat Pump Drying by Pilot Equipment
Ngoc Duc Vu, Binh An Pham, Thi Ngoc Nhi Pham, Huynh Bao Long, Duong Thi Ngoc Diep
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引用次数: 0
Abstract
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*, ∆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°C, 30°C, 40°C, and 50°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°C and 30°C, while the Power-law model was used for L* value changes at 40°C and 50°C. At the same temperature ranges, another finding showed that the experimental data for a* and b* values followed the Combined kinetic model (R2 > 0.92). Kinetic models describing the changes in BI and ΔE* during drying at various temperatures were also identified based on statistical parameters (R2, χ2, 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*, ∆E*, and BI were comparable. The study discussed the nature, modeling methods, and optimization of drying processes, offering insights into both quantity and quality.
期刊介绍:
This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.