首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >ORTHOGONAL ARRAY DESIGN AS A CHEMOMETRIC METHOD FOR THE OPTIMIZATION OF ANALYTICAL PROCEDURES .5. THREE-LEVEL DESIGN AND ITS APPLICATION IN MICROWAVE DISSOLUTION OF BIOLOGICAL SAMPLES
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ORTHOGONAL ARRAY DESIGN AS A CHEMOMETRIC METHOD FOR THE OPTIMIZATION OF ANALYTICAL PROCEDURES .5. THREE-LEVEL DESIGN AND ITS APPLICATION IN MICROWAVE DISSOLUTION OF BIOLOGICAL SAMPLES

机译:正交阵列设计作为优化分析程序的化学方法.5。三层设计及其在生物样品微波溶解中的应用

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The theory and methodology of a three-level orthogonal array design as a chemometric method for the optimization of analytical procedures were developed. In the theoretical section, firstly, the matrix of a three-level orthogonal array design is described and orthogonality is proved by a quadratic regression model. Next, the assignment of experiments in a three-level orthogonal array design and the use of the triangular table associated with the corresponding orthogonal array matrix are illustrated, followed by the data analysis strategy, in which significance of the different factor effects is quantitatively evaluated by the analysis of variance (ANOVA) technique and the percentage contribution method. Then, a quadratic regression equation representing the response surface is established to estimate each factor that has a significant influence. Finally, on the basis of the quadratic regression equation established, the derivative algorithm is used to find the optimum value for each variable considered. In the application section, microwave dissolution for the determination of selenium in biological samples by hydride generation atomic absorption spectrometry is employed, as a practical example, to demonstrate the application of the proposed three-level orthogonal array design in analytical chemistry. [References: 26]
机译:提出了一种三级正交阵列设计作为化学计量学方法以优化分析程序的理论和方法。在理论部分,首先,描述了三级正交阵列设计的矩阵,并通过二次回归模型证明了正交性。接下来,说明了三级正交阵列设计中的实验分配以及与相应的正交阵列矩阵关联的三角表的使用,然后说明了数据分析策略,其中通过以下方法定量评估不同因素影响的重要性:方差分析(ANOVA)技术和百分比贡献法。然后,建立表示响应面的二次回归方程,以估计具有重要影响的每个因子。最后,在建立二次回归方程的基础上,使用导数算法来找到所考虑的每个变量的最优值。在应用部分中,以氢化物发生原子吸收光谱法测定生物样品中硒的微波溶解度为例,来说明所提出的三级正交阵列设计在分析化学中的应用。 [参考:26]

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