5 presents some of the drying curves for different fruit:solution rations. The equilibrium moisture

content of the dried cherries was calculated based on the changes in their weight. The calculated Sunitinib in vivo equilibrium moisture content was 1.089 ± 0.150 kg moisture/kg dry matter. The equilibrium moisture was determined from three samples for each ration studied. These samples were dehydrated for 12 h, then oven-dried until they reached a constant weight, following the 2002 AOAC method. In all the conditions, there was a period of declining moisture content characterized by a rapid drop in the drying rate. This indicates that the main mechanism of water transport was diffusion and that the diffusion equation can be employed to analyze drying data. The moisture content of West Indian cherry decreased exponentially over time, from 11.05 to 3.10 kg moisture/kg find more dry matter after 12 h, which is in agreement with previous research (Derossi et al., 2008 and Spiazzi and Mascheroni, 1997) on other fruits. Exponential changes were also observed in weight reduction, solid gain and water loss of West Indian cherry, as shown in Fig. 1, Fig. 2 and Fig. 3.

Table 2 shows a statistical analysis of water loss, solid gain and weight loss at the fruit:solution rations under study. As can be seen in this table, the fruit:solution ratio of 1:10 showed the lowest standard deviation (SD) values, except for the solid gain, whose lowest SD occurred with the 1:4 ratio. This can be explained by the effect of solution dilution at the 1:4 ratio. The profiles presented in Fig. 1, Fig. 2, Fig. 3 and Fig. 4 reflect the above described patterns. The high coefficients of determination Liothyronine Sodium obtained by the Levenberg–Marquardt method and Differential Evolution method (R2 > 0.958) indicated the goodness of fit of experimental data to Eq. (4), see Table 3. The Def values varied from approximately 1.558 × 10−10–1.771 × 10−10 m2 s−1 for West Indian cherry. These values are within the range of Def (10−12–10−8 m2 s−1) normally expected for dehydrated foods ( Azoubel and Murr, 2004, Corrêa et al., 2006 and Gely and Santalla, 2007). This variability in diffusion

coefficient depends on the experimental conditions and procedures used for the determination of the moisture diffusivity, as well as on the data treatment methods, the product’s properties, composition, physiological state, and heterogeneity of its structure. For instance, Corrêa et al. (2006) obtained Def values between 2.78 × 10−10 and 8.42 × 10−10 m2s−1 for West Indian cherry samples osmotically dehydrated at a solution:sample ratio of 3:1 for 60°Brix of sucrose solution, during 24 h of osmotic dehydration. Fig. 6 show experimental moisture distribution during the osmotic treatment for the fruit:solution ratio 1:15 studied here, similar results for the other cases were obtained. The distribution behavior corresponds to the model calculated with diffusion values estimated by two methods: Levenberg–Marquardt and Differential evolution.