مشخصات پژوهش

صفحه نخست /Application of Response ...
عنوان
Application of Response Surface Methodology and Genetic Algorithm for Optimization and Determination of Iron in Food Samples by Dispersive Liquid–Liquid Microextraction
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Application of Response Surface Methodology and Genetic Algorithm for Optimization and Determination of Iron in Food Samples by Dispersive Liquid–Liquid Microextraction
چکیده
A simple and facile method was developed for the determination of trace amount of iron. The method is based on the complex formation between Fe (III) and picrate anion in the presence of piroxicam, as a complexing agent. Dispersive liquid–liquid microextraction (DLLME) was applied to extract the formed ion associate, Fe (III)-piroxicam. The absorbance of the extracted iron in the sedimented phase was measured by UV–Vis spectrophotometry. Two statistical methods of response surface methodology and genetic algorithm (GA) based on artificial neural network (ANN) were employed for prediction and optimization of a four-constituent DLLME. Plackett–Burman design was used for screening the influential parameters including pH, the volume of picrate anion, disperser, and extraction solvents. Central composite design (CCD) was used to obtain the optimum levels in the proposed method. The experimentally obtained
پژوهشگران الهام علیان (نفر اول)، ابوالفضل سمنانی (نفر دوم)، علیرضا فیروز (نفر سوم)، محبوبه شیرانی (نفر چهارم)، بهناز آزمون (نفر پنجم)