| Title |
Mathematical Modeling of a Sustainable Dewatering Process for Blueberries and Raspberries Preservation |
| ID_Doc |
27721 |
| Authors |
Lopes, S; Santos, R; Wesseed, D; Brás, I; Silva, ME; Ferreira, T; Pereira, C |
| Title |
Mathematical Modeling of a Sustainable Dewatering Process for Blueberries and Raspberries Preservation |
| Year |
2024 |
| Published |
|
| DOI |
10.1007/978-3-031-54394-4_12 |
| Abstract |
Drying is one of the processes that can be used to reduce agro-food industry wastes. The study of drying kinetics and the factors that affect it is essential to optimize the process and obtain a good quality and sustainable product promoting circular economy. Considering the producers interest, this work focused on the drying of blueberries and raspberries. The main objective was the mathematical modeling of the drying curves of these fruits to allow predicting the process evolution. Laboratory drying tests were carried out under different conditions, monitoring the moisture content of the fruits. The chemical properties of the dried products were evaluated to see how different conditions affected them. Thin layer mathematical models (Newton, Henderson and Pabis, logarithmic and two-term exponential) have been adjusted to the experimental data through a nonlinear regression analysis. The mathematical models obtained were validated by comparing their results with experimental data. For this purpose, the coefficient of determination (R2), the mean absolute error (MAE) and root mean square error (RMSE) have been used. All thin layer models tested show good fitting ability with the experimental values; however, the Henderson and Pabis model and two-term exponential model presented the best fit for both products. |
| Author Keywords |
Food drying; Food waste; Drying curves; Mathematical model; Circular economy; Sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001265082300012 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Computer Science; Science & Technology - Other Topics; Energy & Fuels |
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