STATISTICAL EVALUATION OF FOUR PARAMETERS SORPTION ISTHERM MODELS

Citation APA 7:
Mitrevski, V., Mitrevska, C., Babić, M., & Mitrevski, B. (2020). Statistical evaluation of four-parameter moisture sorption isotherm models. Journal on Processing and Energy in Agriculture, 24(1), 1–5.

Citation Harvard:
Mitrevski, V., Mitrevska, C., Babić, M. and Mitrevski, B. (2020) ‘Statistical evaluation of four-parameter moisture sorption isotherm models’, Journal on Processing and Energy in Agriculture, 24(1), pp. 1–5.

Details

Author(s)

, , ,

Article Тitle

Journal

Publication Year

Article Type

Volume, Issue

Pages

DOI

ISSN (print)

ISSN (online)

UDC

Subjects

Divisions

Date Deposited

2.5.2021 08:10

Citation APA 7:
Mitrevski, V., Mitrevska, C., Babić, M., & Mitrevski, B. (2020). Statistical evaluation of four-parameter moisture sorption isotherm models. Journal on Processing and Energy in Agriculture, 24(1), 1–5.

Citation Harvard:
Mitrevski, V., Mitrevska, C., Babić, M. and Mitrevski, B. (2020) ‘Statistical evaluation of four-parameter moisture sorption isotherm models’, Journal on Processing and Energy in Agriculture, 24(1), pp. 1–5.

Abstract

Mathematical models used to approximate sorption data are important for designing and optimizing drying processes and equipment. This study statistically evaluates 32 four-parameter sorption-isotherm models using experimental equilibrium-moisture data obtained from quince samples at 15°C, 30°C, 45°C and 60°C. The models were assessed and ranked using statistical criteria, including the coefficient of determination. The results identify the models that most accurately describe the experimental sorption data.

Keywords:

sorption isotherms; four-parameter models; statistical evaluation.