Modeling and Optimizing Apricot Drying Parameters Using Response Surface Methodology (RSM)
Abstract
Optimizing osmotic dehydration techniques for apricots performs a significant role in enhancing food preservation and nutritional value. This is due to the increasing demand for sustainable and efficient food processing methods. The study examined various osmotic solution concentrations (sucrose-salt 55-5%, 50-10%, and 45-15%) of apricot drying treatment to obtain the best model and optimum conditions for dried apricot production. The temperatures varied at 40, 50 and 60 °C for three different treatment times (one, three and five hours). Response Surface Methodology (RSM) was used to predict solid gain (SG), ratio to water loss (WL), water ratio (WR), salt, sugar and vitamin C during osmotic dehydration of apricot slices. The results revealed that with increasing of temperature and time, the values of SG (linearly from 0.5 to 11.4%), WL (quadratically from 15.2 to 49%), WR (quadratic from 13.4 to 49%), salt (quadratically from 0.07 to 0.7%), and sugar (linearly from 9 to 13.5%) increased. In contrast, the amounts of vitamin C (11 to 4 mg/100g) decreased quadratically (P<0.05). RSM also suggested the optimum dehydration conditions as immersion time of 5 h, temperature 59 °C with response variables (SG 2.325, 1.46 and 0.206%, WL 45.449, 48.269 and 49.314%, WR 41.347, 45.480, 46.8%, Salt 0.277, 0.487, 0.675%, sugar 12.465, 12.211 and 11.882% and vitamin C 7.556, 5.915 and 5.314 mg/100g) for solution of 55-5, 50-10 and 45-15, respectively. Therefore, osmotic dehydration has potential advantages for the processing industry (such as the drying process) in maintaining food quality and preserving the nutrition of the food.