USING SOME MATHEMATICAL MODELS IN
MODELING MUSHROOM DRYING (AGARICUS BISPORUS)
Miroslava Ivanova1, Nedyalko Katrandzhiev2,
Lilko Dospatliev3
1 Trakia University
Department of Informatics and Mathematics
Stara Zagora, 6000, BULGARIA
2 University of Food Technology
Department of Computer Systems and Technologies
Plovdiv, 4000, BULGARIA
3 Trakia University
Department of Pharmacology, Animal Physiology
and Physiological Chemistry
Stara Zagora, 6000, BULGARIA

Abstract

In the present study, a thin-layer drying kinetics of Agaricus bisporus mushroom was experimentally investigated in convective dryer. Experiments were performed at air temperatures of 35 $^\circ$C, 45 $^\circ$C, and 55 $^\circ$C and constant air velocity of 2 m s$^{-1}$. In order to select a suitable form of the drying curve, 11 different mathematical models were fitted to experimental data. The high values of coefficient of determination ($R^2$) and the low values of reduced chi-square ($\chi^2$) and root mean square error ($RMSE$) indicated that the Modified Henderson and Pabis model could satisfactorily illustrate the drying curve of Agaricus bisporus mushroom. The Modified Henderson and Pabis model had the highest value of $R^2$ (0.9990), the lowest $\chi^2$ (0.0001) and $RMSE$ (0.0092). Fick's second law was used to calculate the effective moisture diffusivity. The moisture diffusion coefficient varied between 1.4970 $\times 10^{-8}$ and 2.7222 $\times 10^{-8}$ m$^2$ s$^{-1}$ for the given temperature range and corresponding activation energy was 25.1648 kJ mol$^{-1}$.

There is an interest in information regarding the most suitable conditions for the different types mushrooms drying process. All the studies, experiments and analyzes performed by the authors are a basis for creating a Web-based platform with the help of which the most suitable drying model can be offered when specifying the mushrooms type and the drying parameters. The Web-based platform will be able to add new data and analyze it automatically which will allow the platform self-improvement.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 33
Issue: 1
Year: 2020

DOI: 10.12732/ijam.v33i1.9

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