Akademik Veri Yönetim Sistemi
FOOD SCIENCE & NUTRITION, cilt.13, sa.7, ss.70558, 2025 (SCI-Expanded)
This article focused on the comprehensive evaluation of statistical criteria applied in common mathematical models selected for
experimental cold drying data for thin-layer
food drying applications. In this context, Mackerel (Trachurus trachurus), known
as a functional and sensitive food sample with its bioactive content, was selected as the experimental material for drying applications.
For this purpose, four experimental groups (G5MM, G10MM, G15MM, G20MM) with different sample thicknesses (5,
10, 15, 20 mm) at 100 g were dried with 6 m/s air flow at 10°C for 24, 22, 20, and 14 h respectively. Twenty-three
common semi-theoretic
and empiric mathematical models were applied to the obtained drying values. For the comprehensive evaluation of the
models, non-linear
regression analysis was performed using 13 different statistical criteria such as r, RSS, SST, SSE, R2, χ2, RMSE,
residuals, RSSE, MBE, EF, SEE, and p. In this context, in the study where the relevant criteria were applied, for G20MM, Newton
Lewis, Midilli-Küçük,
Balbay and Şahin, Page, for G15MM, Henderson & Pabis, Logarithmic (Asymptotic), Binomial, Verma
et al., Modified Henderson, Simplified Fick diff., Balbay and Şahin model were concluded to be the most suitable. In addition,
for G10MM, Logarithmic (Asymptotic), Demir et al., Binary, Verma et al., Balbay and Şahin, Thompson and Alibas models, and
in the G05MM group, Logarithmic (Asymptotic), Demir et al., Binary, Verma et al., Thompson, Balbay-Şahin
and Alibas models were concluded to be the most suitable. According to the results obtained, it has been revealed that using only r, R2, χ2 and RMSE
equations instead of 13 statistical criteria in the evaluation of mathematical models gives significant and meaningful results.