Abstract This review presents fundamentals and a critical evaluation of the multivariate optimization techniques employed by the analytical chemistry. Characteristics of the surface response methodologies (SRM) are shown and compared. Additionally, a bibliographic survey was performed in the web of science database using as keywords names of the chemometric tools utilized for experimental designs. Papers classified in the analytical chemistry area demonstrated that the two-level full factorial design had often been used for preliminary assessment of factors. For determination of critical conditions using quadratic models, the central composite design (CCD) is the technique most utilized by the analytical chemists. Remarks about standardized effects and the Pareto chart, description of the several multiple response functions employed in experimental designs, efficiencies of the SRM's and robustness tests are also discussed.

中文翻译：

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分析化学中的多元优化技术——概述

摘要 本综述介绍了分析化学所采用的多元优化技术的基本原理和批判性评价。显示并比较了表面响应方法 (SRM) 的特征。此外，使用用于实验设计的化学计量学工具的关键字名称在科学网络数据库中进行了书目调查。分析化学领域的论文表明，二水平全因子设计经常用于因子的初步评估。对于使用二次模型确定临界条件，中心复合设计 (CCD) 是分析化学家最常用的技术。关于标准化效应和帕累托图的评论，