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Apple Cubes Drying and Rehydration. Multiobjective Optimization of the Processes

Author

Listed:
  • Radosław Winiczenko

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

  • Krzysztof Górnicki

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

  • Agnieszka Kaleta

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

  • Monika Janaszek-Mańkowska

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

  • Aneta Choińska

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

  • Jędrzej Trajer

    (Department of Fundamental Engineering, Warsaw University of Life Sciences, Nowoursynowska 164 St., 02-787 Warsaw, Poland)

Abstract

The effect of convective drying temperature ( T d ), air velocity ( v ), rehydration temperature ( T r ), and kind of rehydrating medium (pH) was studied on the following apple quality parameters: water absorption capacity (WAC), volume ratio (VR) color difference (CD). To model, simulate, and optimize parameters of the drying and rehydration processes hybrid methods artificial neural network and multiobjective genetic algorithm (MOGA) were developed. MOGA was adapted to the apple tissue, where the simultaneous minimization of CD and VR and the maximization of WAC were considered. The following parameters range were applied, 50 ≤ T d ≤ 70 °C and 0.01 ≤ v ≤ 6 m/s for drying and 20 ≤ T r ≤ 95 °C for rehydration. Distilled water (pH = 5.45), 0.5% solution of citric acid (pH = 2.12), and apple juice (pH = 3.20) were used as rehydrating media. For determining the rehydrated apple quality parameters the mathematical formulas were developed. The following best result was found. T d = 50.1 °C, v = 4.0 m/s, T r = 20.1 °C, and pH = 2.1. The values of WAC, VR, and CD were determined as 4.93, 0.44, and 0.46, respectively. Experimental verification was done, the maximum error of modeling was lower than 5.6%.

Suggested Citation

  • Radosław Winiczenko & Krzysztof Górnicki & Agnieszka Kaleta & Monika Janaszek-Mańkowska & Aneta Choińska & Jędrzej Trajer, 2018. "Apple Cubes Drying and Rehydration. Multiobjective Optimization of the Processes," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4126-:d:181814
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    References listed on IDEAS

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    1. Fangwu Ma & Hongbin Yin & Lulu Wei & Guangdong Tian & Hui Gao, 2018. "Design and Optimization of IPM Motor Considering Flux Weakening Capability and Vibration for Electric Vehicle Applications," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    2. Lvjiang Yin & Xinyu Li & Chao Lu & Liang Gao, 2016. "Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm," Sustainability, MDPI, vol. 8(12), pages 1-33, December.
    3. Flavio Raponi & Roberto Moscetti & Danilo Monarca & Andrea Colantoni & Riccardo Massantini, 2017. "Monitoring and Optimization of the Process of Drying Fruits and Vegetables Using Computer Vision: A Review," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
    4. Suwin Sleesongsom & Sujin Bureerat, 2018. "Vibration Suppression of a Single-Cylinder Engine by Means of Multi-objective Evolutionary Optimisation," Sustainability, MDPI, vol. 10(6), pages 1-19, June.
    5. Yunsong Han & Hong Yu & Cheng Sun, 2017. "Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
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