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Application of response surface modeling in the development of a microwave assisted extraction method for determination of multielemental determination in bean samples

机译:响应面建模在微波辅助萃取法测定豆类样品中多元素测定中的应用

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In this research, response surface methodology was used for the development of a microwave-assisted extraction method for determination of target element (Zn, Cu, Fe, Mn, Co and Ni) in bean seed samples by flame atomic absorption spectrometry (FAAS). For this method, Box-Behnken experimental design was used for optimizes the process variables including power, temperature, time and volume of nitric acid. A multiple response function (R_m) was applied to describe the experimental conditions for simultaneous extraction of the target element. Optimum conditions were 355.0 (W), 57.0 °C, 24.6 min and 6.7 mL for power, temperature, time and volume of nitric acid, respectively. High regression coefficient between the variables and the response (R~2H 0.991 for multiple response function) indicated excellent evaluation of experimental data by polynomial regression model. The developed procedure was then applied to the extraction and determination of these elements in the some bean seeds samples.
机译:在这项研究中,响应面方法被用于开发微波辅助提取方法,通过火焰原子吸收光谱法(FAAS)测定豆类种子样品中的目标元素(锌,铜,铁,锰,钴和镍)。对于这种方法,采用Box-Behnken实验设计来优化工艺变量,包括功率,温度,时间和硝酸体积。应用多重响应函数(R_m)描述同时提取目标元素的实验条件。硝酸的功率,温度,时间和体积的最佳条件分别为355.0(W),57.0°C,24.6 min和6.7 mL。变量与响应之间的回归系数较高(对于多重响应函数,R〜2H为0.991)表明通过多项式回归模型对实验数据进行了出色的评估。然后将开发的程序应用于一些豆类种子样品中这些元素的提取和测定。

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