COMPARISON BETWEEN FOUR AND FIVE PARAMETERS SORPTION ISOTHERM MODELS
Citation APA 7:
Mitrevski, V., Mitrevska, C., & Trajcevski, L. (2022). Comparison between four and five parameters sorption isotherm models. In Proceedings of the XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022) (pp. 115–121). Technical Faculty “Mihajlo Pupin,” University of Novi Sad.
Citation Harvard:
Mitrevski, V., Mitrevska, C. and Trajcevski, L. (2022) ‘Comparison between four and five parameters sorption isotherm models’, in Proceedings of the XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022). Zrenjanin: Technical Faculty “Mihajlo Pupin”, University of Novi Sad, pp. 115–121.
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| Article Тitle | COMPARISON BETWEEN FOUR AND FIVE PARAMETERS SORPTION ISOTHERM MODELS |
| Journal | Industrial Engineering and Environmental Protection 2022 (IIZS 2022) |
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| Date Deposited | 14.10.2022 11:29 |
Citation APA 7:
Mitrevski, V., Mitrevska, C., & Trajcevski, L. (2022). Comparison between four and five parameters sorption isotherm models. In Proceedings of the XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022) (pp. 115–121). Technical Faculty “Mihajlo Pupin,” University of Novi Sad.
Citation Harvard:
Mitrevski, V., Mitrevska, C. and Trajcevski, L. (2022) ‘Comparison between four and five parameters sorption isotherm models’, in Proceedings of the XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022). Zrenjanin: Technical Faculty “Mihajlo Pupin”, University of Novi Sad, pp. 115–121.
Abstract
The paper presents a comparative statistical analysis of four- and five-parameter, non-temperature-dependent sorption-isotherm models. Numerical experiments were performed using equilibrium moisture-content and water-activity data for quince at four temperatures. The coefficient of determination was calculated for every model and dataset, after which the models were ranked. The residual distributions of the best-performing four- and five-parameter models were then evaluated graphically.
Keywords:
Four and five parameters models; statistical evaluation; moisture content data.