首页> 外文期刊>Journal of Food Measurement and Characterization >Use of response surface methodology in the optimization of the microwave assisted extraction method for determination of multielements in Brassica oleracea var. capitata (cabbage) samples
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Use of response surface methodology in the optimization of the microwave assisted extraction method for determination of multielements in Brassica oleracea var. capitata (cabbage) samples

机译:响应面法在优化微波辅助提取法测定甘蓝中多元素中的应用。卡塔塔(白菜)样本

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摘要

In this study, the response surface methodology was used by the central composite design in development of a microwave-assisted extraction method to build a model based on four factors including power, extraction time, temperature and volume of extraction solvent for the extraction of iron, copper, manganese and zinc from cabbage (Brassica oleracea var. capitata). This model was applied to determine the optimum conditions for desirable response and to evaluate the influences experimental factors. A multiple response function (Ym) was used to explain the experimental conditions of the target element. Optimum conditions were found to be 201 (W), 60 °C, 10 min and 4 mL for power, temperature, time and volume of nitric acid, respectively. High regression coefficient between the variables and the response (R2 = 0.993) showed excellent evaluation of experimental data by polynomial regression model. The RSD% for purple and white cabbage was 1.3 and 1.5 %, respectively. The developed procedure was then used for the extraction and determination of these elements in the some cabbage samples.
机译:在这项研究中,中央复合材料设计使用响应面方法开发了微波辅助萃取方法,以基于四个因素的模型构建模型,包括功率,萃取时间,温度和萃取铁的萃取溶剂量,卷心菜(芸苔变种capitata)中的铜,锰和锌。该模型用于确定理想响应的最佳条件并评估实验因素的影响。多重响应函数(Ym)用于解释目标元素的实验条件。发现硝酸的功率,温度,时间和体积的最佳条件分别为201(W),60°C,10 min和4 mL。变量与响应之间的高回归系数(R2 = 0.993)通过多项式回归模型对实验数据进行了出色的评估。紫色和白菜的RSD%分别为1.3%和1.5%。然后将开发的程序用于一些卷心菜样品中这些元素的提取和测定。

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