Cold Plasma: A Novel Pretreatment Method for Drying Canola Seeds: Kinetics Study and Superposition Modeling

Document Type : Research Article-en

Authors

• F. Osloob ¹
• M. Moradi ²
• M. Niakousari ³

¹ MSc graduated, Department of Biosystems Engineering, School of Agriculture, Shiraz University, Shiraz, Iran

² Department of Biosystems Engineering, School of Agriculture, Shiraz University, Shiraz, Iran

³ Department of Food Science and Technology, School of Agriculture, Shiraz University, Shiraz, Iran

https://doi.org/10.22067/jam.2022.75630.1096

Abstract

Accurate investigation of kinetics and development of high-precision seed drying models will help better studying the drying process by identifying effective parameters. Present study investigates the application of cold plasma (CP), as a pretreatment process, in air drying of canola seeds. This may bring about some complication into the drying kinetics investigation. Canola seeds with an initial moisture content of 27.5±1% (dry basis) were exposed to CP for 0, 15, 30, and 60 s prior to fluidization by air at temperatures of 40, 50 and 60 °C in a pilot scale fluidized bed heated by a solar panel.  The results showed a decreasing trend in drying time from 40 to 60 ^oC. The shortest drying time corresponds to samples dried at 60 ^oC with no CP pretreatment. The longest period however occurred for samples dried at 40 ^oC with 60 s of CP pretreatment. The greatest effect of CP on reducing the drying time was observed at temperatures of 40 and 50 °C at the CP exposure time of 15 and 60 s, respectively.  A reasonably accurate study of drying kinetics was accomplished using the superposition method. Accordingly, using experimental data, curves correspond to different drying conditions were plotted and in two steps these were shifted to a reference curve to acquire a final drying curve. The curve then was fitted to a second-order equation, and was validated using the experimental data. The correlation coefficients, mean square error and mean absolute error were 0.99, 0.03, and 0.023, respectively.

Keywords

• Canola seeds
• Mean comparison
• Shifted factor
• Superposition

20.1001.1.22286829.1402.13.1.4.1

Main Subjects

• Post-harvest technologies

©2023 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

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