Document Type : Original Article
Authors
1
Department of Engineering Mathematics and Physics, Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt
2
Fats and Oils Dept., Food Industries and Nutrition Research Institute, National Research Centre, Dokki, Cairo, Egypt
Abstract
The principal goal of this exploration is to inspect the withdrawal of silver from X-ray waste. Firstly, the impact of some operating parameters on the silver leaching from x-ray utilizing nitric acid as leaching agent such as leaching temperature, incitation speed (rpm), leaching time, and leaching agent concentration was inspected utilizing practical method and mathematical and statistical method. Outcomes acquired detected that, utmost silver ion concentration in leaching solution was 9284.7 mg/kg films (61.9 %) at an ideal conditions of leaching agent concentration, incitation velocity, leaching time, and temperature of 3 M, 400 rpm, 180 minutes, and 75 oC. Multiple regression analysis technique will be applied in an attempt to acquire correlation (R2 = 96.17%). Results demonstrated that there is a complete cohesion between the practical values of silver leaching percentage and expected values. After the leaching process, the sorption technique was applied to treat the silver from leaching solution utilizing sugarcane bagasse as a sorbent treated with sulfuric acid. The sorption technique optimization of silver recovery from the leaching solution was elucidated also using practical method and statistical analysis. Factors influencing the sorption process are sorption time, solution pH, mixing velocity, and a sorbent quantity. The optimal pH value, mixing velocity, and sorbent quantity were 5.37, 200 rpm, and 5 gm, respectively at 60 min. sorption time. Under above ideal factors the sorption silver percent was 96.68%. Kinetic of a sorption were effectively depicted using a pseudo second order model with elevated correlation coefficient (R2 = 99.09 %). Adsorbed silver on sugarcane bagasse surface were explored via SEM-EDX analysis. Finally, Multiple regression analysis technique will be applied in an attempt to acquire correlation for predicting the silver recovery percent. R2 of the attained correlation was 95.56%.
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