Effect of drying methods on drying kinetics, energy features, thermophysical and microstructural properties of Stevia rebaudiana leaves
Autor: | Kong Ah-Hen, Liliana Zura-Bravo, Roberto Lemus-Mondaca, Karina Di Scala |
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Rok vydání: | 2021 |
Předmět: |
Hot Temperature
Nutrition and Dietetics Materials science Vacuum Moisture Scanning electron microscope Thermal diffusivity Microstructure Plant Leaves Kinetics Stevia rebaudiana Thermal conductivity Glucosides Food Preservation Thermal Stevia Desiccation Composite material Diterpenes Kaurane Agronomy and Crop Science Thermal effusivity Food Science Biotechnology |
Zdroj: | Journal of the Science of Food and Agriculture. 101:6484-6495 |
ISSN: | 1097-0010 0022-5142 |
DOI: | 10.1002/jsfa.11320 |
Popis: | BACKGROUND Stevia leaves were subjected to convective hot-air, infrared and vacuum drying at 40, 60 and 80 °C, followed by an assessment of thermophysical properties and microstructure, along with drying kinetics modelling and evaluation of energy features for all drying operations. RESULTS Effective moisture diffusivity (Deff ) showed dependency on temperature with values ranging from 1.08 × 10-12 to 7.43 × 10-12 m2 s-1 for convective drying, from 0.71 × 10-12 to 6.60 × 10-12 m2 s-1 for infrared drying, and from 1.29 × 10-12 to 5.39 × 10-12 m2 s-1 for vacuum drying. The thermal properties of the dried Stevia leaves under different drying conditions showed values of density, specific heat, thermal diffusivity, thermal conductivity and thermal effusivity ranging from 95.6 to 116.2 kg m-3 , 3050 to 3900 J kg-1 K-1 , 4.28 × 10-7 to 5.60 × 10-7 m2 s-1 , 0.16 to 0.23 W m-1 K-1 and 244 to 305 W s0.5 m-2 K-1 , respectively. As for microstructure, convective hot-air drying showed better preserved leaf characteristics, compared to infrared- and vacuum-drying, whereby scanning electron microscopy (SEM) image analysis also revealed noticeable differences at higher temperatures. Statistical analysis showed that the Midilli-Kucuk model fitted best the experimental data of drying curves (0.961 |
Databáze: | OpenAIRE |
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