Sevil KARAASLAN, Abdülhamid BALTA

Determination of Suitable Drying Model for Combined Microwave-Fan Assisted Convection Drying of Strawberry

100 (±0.04) g ağırlığına ve yaş baza göre %91.62 (±0.02) ilk nem içeriğine sahip olan çilek dilimleri, yaş baza göre son nem içeriği %15.12 (±0.05) olana kadar mikrodalga fırında kurutulmuştur. Bu çalışmada, mikrodalga (180, 360, 540, 720 ve 900 W), fan destekli sıcak hava (100, 150, 200°C), mikrodalga (180 ve 360W ) ve fan destekli sıcak hava (100, 150, 200°C) kombinasyon yöntemlerinin çilek dilimlerinin kuruma süresi ve nem oranı üzerine etkileri incelenmiştir. Newton, Page, Henderson ve Pabis, Midilli-Küçük, Wang ve Singh, İki terimli, İki terimli Üssel olmak üzere yedi farklı matematiksel modeller birbirleri ile karşılaştırılmıştır. Bu modellerin performansları gözlemlenen ve tahmini nem oranları arasında belirtme katsayısı değeri (R2), tahmini standart hatası (SEE) ve kalanların kareleri toplamına (RSS) göre karşılaştırılmıştır. Sonuçlar göstermiştir ki, diğer model eşitliklerle karşılaştırıldığında Midilli- Küçük modeli en iyi tahmini vermiştir

Anahtar Kelimeler:

Çilek, Kurutma, Mikrodalga, Modelleme

Determination of Suitable Drying Model for Combined Microwave-Fan Assisted Convection Drying of Strawberry

Strawberry slices with 100 (±0.04) g weights and 91.62% (±0.02) initial moisture content on wet basis were dried in microwave oven until moisture content fell down to 15.12% (±0.05) on wet basis. In this study, the effects of microwave drying (180, 360, 540, 720 and 900W); fan assisted convection (100, 150, 200ºC); combined fan assisted convection (100, 150, 200ºC) and microwave (180 and 360 W) on drying time, drying ratio of strawberry slices have been investigated. The drying data were applied to seven different mathematical models, namely, Newton, Page, Henderson and Pabis, Midilli-Kucuk, Wang and Singh, Two Term, Two Term Exponential Equation Models. The performances of these models were compared according to the coefficient of determination (R2), standard error of estimate (SEE) and residual sum of square (RSS), between the observed and predicted moisture ratios. The Midilli-Kucuk model showed a better fit to experimental drying data as compared to other models

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