REVIEW OF SORPTION ISOTHERM MODELS

Citation APA 7:
Mitrevski, V., Mitrevska, C., Trajčevski, L., & Mitrevski, B. (2022). Review models of sorption isotherms. Journal on Processing and Energy in Agriculture, 26(1), 1–7.

Citation Harvard:
Mitrevski, V., Mitrevska, C., Trajčevski, L. and Mitrevski, B. (2022) ‘Review models of sorption isotherms’, Journal on Processing and Energy in Agriculture, 26(1), pp. 1–7.

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30.12.2022 15:00

Citation APA 7:
Mitrevski, V., Mitrevska, C., Trajčevski, L., & Mitrevski, B. (2022). Review models of sorption isotherms. Journal on Processing and Energy in Agriculture, 26(1), 1–7.

Citation Harvard:
Mitrevski, V., Mitrevska, C., Trajčevski, L. and Mitrevski, B. (2022) ‘Review models of sorption isotherms’, Journal on Processing and Energy in Agriculture, 26(1), pp. 1–7.

Abstract

The paper reviews 172 temperature-independent sorption-isotherm models used to approximate equilibrium moisture data for food and agricultural materials. The models contain between one and five or more parameters. Their statistical performance was tested using experimental equilibrium-moisture data for quince. The assessment included the coefficient of determination, root mean squared error, mean relative deviation and graphical analysis of residual randomness. The results identified the Popovski–Mitrevski model M161 as the model with the best statistical performance.

Keywords:

models of sorption isotherms; statistical evaluation; quince.