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The Prediction of Drying Performance of Banana Rings Dried By Osmo-solar Dehydration Method
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Solar drying is known as the oldest and most common traditional food preservation method. However, if the product is indirectly contacted with the sun light, there is negative effect in the color and nutrient values of the product. Solar dryers have been developed to utilize the heat effect of the sun to solve these problems. It can be used in combination with osmotic dehydration to increase the efficiency of the solar drying process. Osmotic dehydration is applied as a pretreatment technique in the drying process. The pretreatments to be applied before drying have important effects on the quality and operating cost of the product to be dried. In addition, the osmotic dehydration pretreatment enables to shorten the drying time and increase the drying potential. In this study, bananas with high drying temperature and high moisture content were sliced into 3 mm rings, then osmotic dehydration pre-drying was applied, and then they were dried in a solar tray dryer. Sucrose and citric acid solution in 2.5%, 5%, 7.5% and 10% (w/v) concentrations were used for osmotic dehydration treatment. In addition, samples without osmotic dehydration were dried in a solar dryer to determine the effect of pretreatment. The input variables of the drying process are solution concentration (0%, 2.5%, 5%, 7.5% and 10%), type of solution (sucrose solution and citric acid solution), osmotic dehydration time (10, 30, 60 and 90 min) and sun drying time (60, 120, 180, 240 and 300 min). Output variables were chosen as moisture ratio and shrinkage rate. The results clearly showed that both the moisture ratio and the shrinkage ratio have increased due to increased solar dryer time, solution concentration and immerse time. Osmotic dehydration was found to be effective in dried banana rings in the solar tray dryer. Gradient Boosting Machine (GBM) was used to model the drying conditions and the model was successful. The correlation coefficient (R2) values of the GBM model were respectively found as 0.94 and 0.83 for the moisture ratio and the shrinkage ratio.
Title: The Prediction of Drying Performance of Banana Rings Dried By Osmo-solar Dehydration Method
Description:
Solar drying is known as the oldest and most common traditional food preservation method.
However, if the product is indirectly contacted with the sun light, there is negative effect in the color and nutrient values of the product.
Solar dryers have been developed to utilize the heat effect of the sun to solve these problems.
It can be used in combination with osmotic dehydration to increase the efficiency of the solar drying process.
Osmotic dehydration is applied as a pretreatment technique in the drying process.
The pretreatments to be applied before drying have important effects on the quality and operating cost of the product to be dried.
In addition, the osmotic dehydration pretreatment enables to shorten the drying time and increase the drying potential.
In this study, bananas with high drying temperature and high moisture content were sliced into 3 mm rings, then osmotic dehydration pre-drying was applied, and then they were dried in a solar tray dryer.
Sucrose and citric acid solution in 2.
5%, 5%, 7.
5% and 10% (w/v) concentrations were used for osmotic dehydration treatment.
In addition, samples without osmotic dehydration were dried in a solar dryer to determine the effect of pretreatment.
The input variables of the drying process are solution concentration (0%, 2.
5%, 5%, 7.
5% and 10%), type of solution (sucrose solution and citric acid solution), osmotic dehydration time (10, 30, 60 and 90 min) and sun drying time (60, 120, 180, 240 and 300 min).
Output variables were chosen as moisture ratio and shrinkage rate.
The results clearly showed that both the moisture ratio and the shrinkage ratio have increased due to increased solar dryer time, solution concentration and immerse time.
Osmotic dehydration was found to be effective in dried banana rings in the solar tray dryer.
Gradient Boosting Machine (GBM) was used to model the drying conditions and the model was successful.
The correlation coefficient (R2) values of the GBM model were respectively found as 0.
94 and 0.
83 for the moisture ratio and the shrinkage ratio.
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